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University of New South Wales

1. Wu, Wei. Limitations of dynamic programming approach: singularity and time inconsistency.

Degree: Mathematics & Statistics, 2016, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true

► Two failures of the dynamic programming (DP) approach to the *stochastic* optimal *control* problem are investigated. The first failure arises when we wish to solve…
(more)

Subjects/Keywords: Stochastic optimal control; Dynamic programming; Stochastic control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wu, W. (2016). Limitations of dynamic programming approach: singularity and time inconsistency. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true

Chicago Manual of Style (16^{th} Edition):

Wu, Wei. “Limitations of dynamic programming approach: singularity and time inconsistency.” 2016. Doctoral Dissertation, University of New South Wales. Accessed January 20, 2021. http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Wu, Wei. “Limitations of dynamic programming approach: singularity and time inconsistency.” 2016. Web. 20 Jan 2021.

Vancouver:

Wu W. Limitations of dynamic programming approach: singularity and time inconsistency. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Jan 20]. Available from: http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true.

Council of Science Editors:

Wu W. Limitations of dynamic programming approach: singularity and time inconsistency. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true

Georgia Tech

2.
Williams, Grady Robert.
Model predictive path integral *control*: Theoretical foundations and applications to autonomous driving.

Degree: PhD, Computer Science, 2019, Georgia Tech

URL: http://hdl.handle.net/1853/62666

► This thesis presents a new approach for *stochastic* model predictive (optimal) *control*: model predictive path integral *control*, which is based on massive parallel sampling of…
(more)

Subjects/Keywords: Stochastic optimal control; Autonomous driving

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APA (6^{th} Edition):

Williams, G. R. (2019). Model predictive path integral control: Theoretical foundations and applications to autonomous driving. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62666

Chicago Manual of Style (16^{th} Edition):

Williams, Grady Robert. “Model predictive path integral control: Theoretical foundations and applications to autonomous driving.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 20, 2021. http://hdl.handle.net/1853/62666.

MLA Handbook (7^{th} Edition):

Williams, Grady Robert. “Model predictive path integral control: Theoretical foundations and applications to autonomous driving.” 2019. Web. 20 Jan 2021.

Vancouver:

Williams GR. Model predictive path integral control: Theoretical foundations and applications to autonomous driving. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1853/62666.

Council of Science Editors:

Williams GR. Model predictive path integral control: Theoretical foundations and applications to autonomous driving. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62666

University of Toronto

3. Miklyukh, Volodymyr. Optimal Inventory Policy Through Dual Sourcing.

Degree: 2017, University of Toronto

URL: http://hdl.handle.net/1807/79155

►

We consider a risk-averse firm that utilizes dual-sourcing for perishable or seasonal goods with uncertain customer demand. Using real options theories, we provide two models… (more)

Subjects/Keywords: Inventory Control; Optimization; Stochastic; 0546

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APA (6^{th} Edition):

Miklyukh, V. (2017). Optimal Inventory Policy Through Dual Sourcing. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79155

Chicago Manual of Style (16^{th} Edition):

Miklyukh, Volodymyr. “Optimal Inventory Policy Through Dual Sourcing.” 2017. Masters Thesis, University of Toronto. Accessed January 20, 2021. http://hdl.handle.net/1807/79155.

MLA Handbook (7^{th} Edition):

Miklyukh, Volodymyr. “Optimal Inventory Policy Through Dual Sourcing.” 2017. Web. 20 Jan 2021.

Vancouver:

Miklyukh V. Optimal Inventory Policy Through Dual Sourcing. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1807/79155.

Council of Science Editors:

Miklyukh V. Optimal Inventory Policy Through Dual Sourcing. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79155

4.
Gaïgi, M'hamed.
Problème de contrôle stochastique sous contraintes de risque de liquidité : *Stochastic* *control* problems with liquidity risk constraints.

Degree: Docteur es, Mathématiques appliquées, 2015, Evry-Val d'Essonne; École nationale d'ingénieurs de Tunis (Tunisie)

URL: http://www.theses.fr/2015EVRY0001

►

Cette thèse porte sur l'étude de quelques problèmes de contrôle stochastique dans un contexte de risque de liquidité et d'impact sur le prix des actifs.… (more)

Subjects/Keywords: Contrôle stochastique; Stochastic control problem

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APA (6^{th} Edition):

Gaïgi, M. (2015). Problème de contrôle stochastique sous contraintes de risque de liquidité : Stochastic control problems with liquidity risk constraints. (Doctoral Dissertation). Evry-Val d'Essonne; École nationale d'ingénieurs de Tunis (Tunisie). Retrieved from http://www.theses.fr/2015EVRY0001

Chicago Manual of Style (16^{th} Edition):

Gaïgi, M'hamed. “Problème de contrôle stochastique sous contraintes de risque de liquidité : Stochastic control problems with liquidity risk constraints.” 2015. Doctoral Dissertation, Evry-Val d'Essonne; École nationale d'ingénieurs de Tunis (Tunisie). Accessed January 20, 2021. http://www.theses.fr/2015EVRY0001.

MLA Handbook (7^{th} Edition):

Gaïgi, M'hamed. “Problème de contrôle stochastique sous contraintes de risque de liquidité : Stochastic control problems with liquidity risk constraints.” 2015. Web. 20 Jan 2021.

Vancouver:

Gaïgi M. Problème de contrôle stochastique sous contraintes de risque de liquidité : Stochastic control problems with liquidity risk constraints. [Internet] [Doctoral dissertation]. Evry-Val d'Essonne; École nationale d'ingénieurs de Tunis (Tunisie); 2015. [cited 2021 Jan 20]. Available from: http://www.theses.fr/2015EVRY0001.

Council of Science Editors:

Gaïgi M. Problème de contrôle stochastique sous contraintes de risque de liquidité : Stochastic control problems with liquidity risk constraints. [Doctoral Dissertation]. Evry-Val d'Essonne; École nationale d'ingénieurs de Tunis (Tunisie); 2015. Available from: http://www.theses.fr/2015EVRY0001

Clemson University

5.
Saine, Mary Elizabeth.
Scheduling *Control* for Many-Server Queues When Customers Change Class.

Degree: MS, Mathematical Sciences, 2020, Clemson University

URL: https://tigerprints.clemson.edu/all_theses/3270

► We consider a two class, many-server queueing system which allows for customer abandonment and class changes. With the objective to minimize the long-run average…
(more)

Subjects/Keywords: Control; Queue; Scheduling; Stochastic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Saine, M. E. (2020). Scheduling Control for Many-Server Queues When Customers Change Class. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/3270

Chicago Manual of Style (16^{th} Edition):

Saine, Mary Elizabeth. “Scheduling Control for Many-Server Queues When Customers Change Class.” 2020. Masters Thesis, Clemson University. Accessed January 20, 2021. https://tigerprints.clemson.edu/all_theses/3270.

MLA Handbook (7^{th} Edition):

Saine, Mary Elizabeth. “Scheduling Control for Many-Server Queues When Customers Change Class.” 2020. Web. 20 Jan 2021.

Vancouver:

Saine ME. Scheduling Control for Many-Server Queues When Customers Change Class. [Internet] [Masters thesis]. Clemson University; 2020. [cited 2021 Jan 20]. Available from: https://tigerprints.clemson.edu/all_theses/3270.

Council of Science Editors:

Saine ME. Scheduling Control for Many-Server Queues When Customers Change Class. [Masters Thesis]. Clemson University; 2020. Available from: https://tigerprints.clemson.edu/all_theses/3270

University of Texas – Austin

6. Kontaxis, Andrew. Asymptotics for optimal investment with high-water mark fee.

Degree: PhD, Mathematics, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/31516

► This dissertation studies the problem of optimal investment in a fund charging high-water mark fees. We consider a market consisting of a riskless money-market account…
(more)

Subjects/Keywords: Stochastic control; Mathematical finance

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APA (6^{th} Edition):

Kontaxis, A. (2015). Asymptotics for optimal investment with high-water mark fee. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31516

Chicago Manual of Style (16^{th} Edition):

Kontaxis, Andrew. “Asymptotics for optimal investment with high-water mark fee.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed January 20, 2021. http://hdl.handle.net/2152/31516.

MLA Handbook (7^{th} Edition):

Kontaxis, Andrew. “Asymptotics for optimal investment with high-water mark fee.” 2015. Web. 20 Jan 2021.

Vancouver:

Kontaxis A. Asymptotics for optimal investment with high-water mark fee. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2152/31516.

Council of Science Editors:

Kontaxis A. Asymptotics for optimal investment with high-water mark fee. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31516

University of Texas – Austin

7.
Fayvisovich, Roman.
Martingale-generated *control* structures and a framework for the dynamic programming principle.

Degree: PhD, Mathematics, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/62105

► This thesis constructs an abstract framework in which the dynamic programming principle (DPP) can be proven for a broad range of *stochastic* *control* problems. Using…
(more)

Subjects/Keywords: Stochastic control; Dynamic programming

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APA (6^{th} Edition):

Fayvisovich, R. (2017). Martingale-generated control structures and a framework for the dynamic programming principle. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62105

Chicago Manual of Style (16^{th} Edition):

Fayvisovich, Roman. “Martingale-generated control structures and a framework for the dynamic programming principle.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 20, 2021. http://hdl.handle.net/2152/62105.

MLA Handbook (7^{th} Edition):

Fayvisovich, Roman. “Martingale-generated control structures and a framework for the dynamic programming principle.” 2017. Web. 20 Jan 2021.

Vancouver:

Fayvisovich R. Martingale-generated control structures and a framework for the dynamic programming principle. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2152/62105.

Council of Science Editors:

Fayvisovich R. Martingale-generated control structures and a framework for the dynamic programming principle. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62105

University of Texas – Austin

8. -4652-8789. Optimal investment with high-watermark fee in a multi-dimensional jump diffusion model.

Degree: PhD, Mathematics, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/63034

► This dissertation studies the problem of optimal investment and consumption in a market in which there are multiple risky assets. Among those risky assets, there…
(more)

Subjects/Keywords: Mathematical finance; Stochastic control

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APA (6^{th} Edition):

-4652-8789. (2017). Optimal investment with high-watermark fee in a multi-dimensional jump diffusion model. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63034

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-4652-8789. “Optimal investment with high-watermark fee in a multi-dimensional jump diffusion model.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 20, 2021. http://hdl.handle.net/2152/63034.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-4652-8789. “Optimal investment with high-watermark fee in a multi-dimensional jump diffusion model.” 2017. Web. 20 Jan 2021.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Vancouver:

-4652-8789. Optimal investment with high-watermark fee in a multi-dimensional jump diffusion model. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2152/63034.

Author name may be incomplete

Council of Science Editors:

-4652-8789. Optimal investment with high-watermark fee in a multi-dimensional jump diffusion model. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63034

Author name may be incomplete

Queens University

9.
Johnston, Andrew.
Networked *Control* Systems with Unbounded Noise under Information Constraints
.

Degree: Mathematics and Statistics, 2012, Queens University

URL: http://hdl.handle.net/1974/7684

► We investigate the stabilization of unstable multidimensional partially observed single-station, multi-sensor (single-controller) and multi-controller (single-sensor) linear systems controlled over discrete noiseless channels under fixed-rate information…
(more)

Subjects/Keywords: stochastic control ; quantizers ; communication constraints ; decentralized control

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APA (6^{th} Edition):

Johnston, A. (2012). Networked Control Systems with Unbounded Noise under Information Constraints . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/7684

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Johnston, Andrew. “Networked Control Systems with Unbounded Noise under Information Constraints .” 2012. Thesis, Queens University. Accessed January 20, 2021. http://hdl.handle.net/1974/7684.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Johnston, Andrew. “Networked Control Systems with Unbounded Noise under Information Constraints .” 2012. Web. 20 Jan 2021.

Vancouver:

Johnston A. Networked Control Systems with Unbounded Noise under Information Constraints . [Internet] [Thesis]. Queens University; 2012. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1974/7684.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Johnston A. Networked Control Systems with Unbounded Noise under Information Constraints . [Thesis]. Queens University; 2012. Available from: http://hdl.handle.net/1974/7684

Not specified: Masters Thesis or Doctoral Dissertation

Stellenbosch University

10. Ndounkeu, Ludovic Tangpi. Optimal cross hedging of Insurance derivatives using quadratic BSDEs.

Degree: MSc, Mathematical Sciences, 2011, Stellenbosch University

URL: http://hdl.handle.net/10019.1/17950

►

ENGLISH ABSTRACT: We consider the utility portfolio optimization problem of an investor whose activities are influenced by an exogenous financial risk (like bad weather or… (more)

Subjects/Keywords: Mathematics; Backward stochastic differential equations; Stochastic control; Insurance derivatives; Cross hedging

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ndounkeu, L. T. (2011). Optimal cross hedging of Insurance derivatives using quadratic BSDEs. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/17950

Chicago Manual of Style (16^{th} Edition):

Ndounkeu, Ludovic Tangpi. “Optimal cross hedging of Insurance derivatives using quadratic BSDEs.” 2011. Masters Thesis, Stellenbosch University. Accessed January 20, 2021. http://hdl.handle.net/10019.1/17950.

MLA Handbook (7^{th} Edition):

Ndounkeu, Ludovic Tangpi. “Optimal cross hedging of Insurance derivatives using quadratic BSDEs.” 2011. Web. 20 Jan 2021.

Vancouver:

Ndounkeu LT. Optimal cross hedging of Insurance derivatives using quadratic BSDEs. [Internet] [Masters thesis]. Stellenbosch University; 2011. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10019.1/17950.

Council of Science Editors:

Ndounkeu LT. Optimal cross hedging of Insurance derivatives using quadratic BSDEs. [Masters Thesis]. Stellenbosch University; 2011. Available from: http://hdl.handle.net/10019.1/17950

Columbia University

11. Bhat, Nikhil. Tractable approximation algorithms for high dimensional sequential optimization problems.

Degree: 2016, Columbia University

URL: https://doi.org/10.7916/D8JQ10W8

► Sequential decision making problems are ubiquitous in a number of research areas such as operations research, finance, engineering and computer science. The main challenge with…
(more)

Subjects/Keywords: Dynamic programming; Stochastic approximation; Stochastic control theory; Markov processes; Operations research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bhat, N. (2016). Tractable approximation algorithms for high dimensional sequential optimization problems. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8JQ10W8

Chicago Manual of Style (16^{th} Edition):

Bhat, Nikhil. “Tractable approximation algorithms for high dimensional sequential optimization problems.” 2016. Doctoral Dissertation, Columbia University. Accessed January 20, 2021. https://doi.org/10.7916/D8JQ10W8.

MLA Handbook (7^{th} Edition):

Bhat, Nikhil. “Tractable approximation algorithms for high dimensional sequential optimization problems.” 2016. Web. 20 Jan 2021.

Vancouver:

Bhat N. Tractable approximation algorithms for high dimensional sequential optimization problems. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2021 Jan 20]. Available from: https://doi.org/10.7916/D8JQ10W8.

Council of Science Editors:

Bhat N. Tractable approximation algorithms for high dimensional sequential optimization problems. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8JQ10W8

University of Notre Dame

12. Fernando Antonio Garcia. Valuation of Chemical Operations Under Uncertainty</h1>.

Degree: Chemical Engineering, 2015, University of Notre Dame

URL: https://curate.nd.edu/show/s7526972c0m

► This dissertation uses process synthesis formulations to develop models that explain how to value chemical processes and minimize financial risk. One of the main…
(more)

Subjects/Keywords: Simple Process; Valuation; Second Order Stochastic Dominance; Stochastic Model Predictive Control

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APA (6^{th} Edition):

Garcia, F. A. (2015). Valuation of Chemical Operations Under Uncertainty</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/s7526972c0m

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Garcia, Fernando Antonio. “Valuation of Chemical Operations Under Uncertainty</h1>.” 2015. Thesis, University of Notre Dame. Accessed January 20, 2021. https://curate.nd.edu/show/s7526972c0m.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Garcia, Fernando Antonio. “Valuation of Chemical Operations Under Uncertainty</h1>.” 2015. Web. 20 Jan 2021.

Vancouver:

Garcia FA. Valuation of Chemical Operations Under Uncertainty</h1>. [Internet] [Thesis]. University of Notre Dame; 2015. [cited 2021 Jan 20]. Available from: https://curate.nd.edu/show/s7526972c0m.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Garcia FA. Valuation of Chemical Operations Under Uncertainty</h1>. [Thesis]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/s7526972c0m

Not specified: Masters Thesis or Doctoral Dissertation

University College Cork

13.
Visentin, Andrea.
Computing policy parameters for *stochastic* inventory *control* using *stochastic* dynamic programming approaches.

Degree: 2020, University College Cork

URL: http://hdl.handle.net/10468/10601

► The objective of this work is to introduce techniques for the computation of optimal and near-optimal inventory *control* policy parameters for the *stochastic* inventory *control*…
(more)

Subjects/Keywords: Inventory control; Dynamic programming; Stochastic programming; Stochastic lot sizing

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Visentin, A. (2020). Computing policy parameters for stochastic inventory control using stochastic dynamic programming approaches. (Thesis). University College Cork. Retrieved from http://hdl.handle.net/10468/10601

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Visentin, Andrea. “Computing policy parameters for stochastic inventory control using stochastic dynamic programming approaches.” 2020. Thesis, University College Cork. Accessed January 20, 2021. http://hdl.handle.net/10468/10601.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Visentin, Andrea. “Computing policy parameters for stochastic inventory control using stochastic dynamic programming approaches.” 2020. Web. 20 Jan 2021.

Vancouver:

Visentin A. Computing policy parameters for stochastic inventory control using stochastic dynamic programming approaches. [Internet] [Thesis]. University College Cork; 2020. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10468/10601.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Visentin A. Computing policy parameters for stochastic inventory control using stochastic dynamic programming approaches. [Thesis]. University College Cork; 2020. Available from: http://hdl.handle.net/10468/10601

Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

14.
Exarchos, Ioannis.
* Stochastic* optimal

Degree: PhD, Aerospace Engineering, 2017, Georgia Tech

URL: http://hdl.handle.net/1853/59263

► *Stochastic* optimal *control* has seen significant recent development, motivated by its success in a plethora of engineering applications, such as autonomous systems, robotics, neuroscience, and…
(more)

Subjects/Keywords: Stochastic optimal control; Forward and backward stochastic differential equations

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Exarchos, I. (2017). Stochastic optimal control - a forward and backward sampling approach. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59263

Chicago Manual of Style (16^{th} Edition):

Exarchos, Ioannis. “Stochastic optimal control - a forward and backward sampling approach.” 2017. Doctoral Dissertation, Georgia Tech. Accessed January 20, 2021. http://hdl.handle.net/1853/59263.

MLA Handbook (7^{th} Edition):

Exarchos, Ioannis. “Stochastic optimal control - a forward and backward sampling approach.” 2017. Web. 20 Jan 2021.

Vancouver:

Exarchos I. Stochastic optimal control - a forward and backward sampling approach. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1853/59263.

Council of Science Editors:

Exarchos I. Stochastic optimal control - a forward and backward sampling approach. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59263

University of Manchester

15.
Zhou, Yuyang.
Performance Improvement for *Stochastic* Systems Using
State Estimation.

Degree: 2018, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314396

► Recent developments in the practice *control* field have heightened the need for performance enhancement. The designed controller should not only guarantee the variables to follow…
(more)

Subjects/Keywords: stochastic system control; performance enhancement; minimum entropy control; pdf control

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zhou, Y. (2018). Performance Improvement for Stochastic Systems Using State Estimation. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314396

Chicago Manual of Style (16^{th} Edition):

Zhou, Yuyang. “Performance Improvement for Stochastic Systems Using State Estimation.” 2018. Doctoral Dissertation, University of Manchester. Accessed January 20, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314396.

MLA Handbook (7^{th} Edition):

Zhou, Yuyang. “Performance Improvement for Stochastic Systems Using State Estimation.” 2018. Web. 20 Jan 2021.

Vancouver:

Zhou Y. Performance Improvement for Stochastic Systems Using State Estimation. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2021 Jan 20]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314396.

Council of Science Editors:

Zhou Y. Performance Improvement for Stochastic Systems Using State Estimation. [Doctoral Dissertation]. University of Manchester; 2018. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314396

Georgia Tech

16. Okamoto, Kazuhide. Optimal covariance steering: Theory and its application to autonomous driving.

Degree: PhD, Aerospace Engineering, 2019, Georgia Tech

URL: http://hdl.handle.net/1853/62260

► Optimal *control* under uncertainty has been one of the central research topics in the *control* community for decades. While a number of theories have been…
(more)

Subjects/Keywords: Stochastic control; Optimal control; Model predictive control; Vehicle path planning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Okamoto, K. (2019). Optimal covariance steering: Theory and its application to autonomous driving. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62260

Chicago Manual of Style (16^{th} Edition):

Okamoto, Kazuhide. “Optimal covariance steering: Theory and its application to autonomous driving.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 20, 2021. http://hdl.handle.net/1853/62260.

MLA Handbook (7^{th} Edition):

Okamoto, Kazuhide. “Optimal covariance steering: Theory and its application to autonomous driving.” 2019. Web. 20 Jan 2021.

Vancouver:

Okamoto K. Optimal covariance steering: Theory and its application to autonomous driving. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1853/62260.

Council of Science Editors:

Okamoto K. Optimal covariance steering: Theory and its application to autonomous driving. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62260

University of Manchester

17.
Zhou, Yuyang.
Performance improvement for *stochastic* systems using state estimation.

Degree: PhD, 2018, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/performance-improvement-for-stochastic-systems-using-state-estimation(ab663282-47dc-450a-9e00-135aacb33e25).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748057

► Recent developments in the practice *control* field have heightened the need for performance enhancement. The designed controller should not only guarantee the variables to follow…
(more)

Subjects/Keywords: 629.8; pdf control; minimum entropy control; stochastic system control; performance enhancement

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zhou, Y. (2018). Performance improvement for stochastic systems using state estimation. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/performance-improvement-for-stochastic-systems-using-state-estimation(ab663282-47dc-450a-9e00-135aacb33e25).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748057

Chicago Manual of Style (16^{th} Edition):

Zhou, Yuyang. “Performance improvement for stochastic systems using state estimation.” 2018. Doctoral Dissertation, University of Manchester. Accessed January 20, 2021. https://www.research.manchester.ac.uk/portal/en/theses/performance-improvement-for-stochastic-systems-using-state-estimation(ab663282-47dc-450a-9e00-135aacb33e25).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748057.

MLA Handbook (7^{th} Edition):

Zhou, Yuyang. “Performance improvement for stochastic systems using state estimation.” 2018. Web. 20 Jan 2021.

Vancouver:

Zhou Y. Performance improvement for stochastic systems using state estimation. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2021 Jan 20]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/performance-improvement-for-stochastic-systems-using-state-estimation(ab663282-47dc-450a-9e00-135aacb33e25).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748057.

Council of Science Editors:

Zhou Y. Performance improvement for stochastic systems using state estimation. [Doctoral Dissertation]. University of Manchester; 2018. Available from: https://www.research.manchester.ac.uk/portal/en/theses/performance-improvement-for-stochastic-systems-using-state-estimation(ab663282-47dc-450a-9e00-135aacb33e25).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748057

University of Illinois – Urbana-Champaign

18. Li, Dapeng. Closed-loop analysis and feedback design in the presence of limited information.

Degree: PhD, 0133, 2011, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/24370

► Recent progress in communication technologies and their use in feedback *control* systems motivate to look deeper into the interplay of *control* and communication in the…
(more)

Subjects/Keywords: Control Theory; Information Theory; Robust Control; Sensitivity Function; Stochastic Control

Record Details Similar Records

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APA (6^{th} Edition):

Li, D. (2011). Closed-loop analysis and feedback design in the presence of limited information. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24370

Chicago Manual of Style (16^{th} Edition):

Li, Dapeng. “Closed-loop analysis and feedback design in the presence of limited information.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 20, 2021. http://hdl.handle.net/2142/24370.

MLA Handbook (7^{th} Edition):

Li, Dapeng. “Closed-loop analysis and feedback design in the presence of limited information.” 2011. Web. 20 Jan 2021.

Vancouver:

Li D. Closed-loop analysis and feedback design in the presence of limited information. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2142/24370.

Council of Science Editors:

Li D. Closed-loop analysis and feedback design in the presence of limited information. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24370

Texas A&M University

19.
Fisher, James Robert.
Stability analysis and *control* of *stochastic* dynamic systems using polynomial chaos.

Degree: PhD, Aerospace Engineering, 2009, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2853

► Recently, there has been a growing interest in analyzing stability and developing controls for *stochastic* dynamic systems. This interest arises out of a need to…
(more)

Subjects/Keywords: Control; Stochastic Systems

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Fisher, J. R. (2009). Stability analysis and control of stochastic dynamic systems using polynomial chaos. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2853

Chicago Manual of Style (16^{th} Edition):

Fisher, James Robert. “Stability analysis and control of stochastic dynamic systems using polynomial chaos.” 2009. Doctoral Dissertation, Texas A&M University. Accessed January 20, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2853.

MLA Handbook (7^{th} Edition):

Fisher, James Robert. “Stability analysis and control of stochastic dynamic systems using polynomial chaos.” 2009. Web. 20 Jan 2021.

Vancouver:

Fisher JR. Stability analysis and control of stochastic dynamic systems using polynomial chaos. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2853.

Council of Science Editors:

Fisher JR. Stability analysis and control of stochastic dynamic systems using polynomial chaos. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2853

University of Edinburgh

20.
Alrasheedi, Adel Fahad.
* Stochastic* joint replenishment problems : periodic review policies.

Degree: PhD, 2015, University of Edinburgh

URL: http://hdl.handle.net/1842/10480

► Operations Managers of manufacturing systems, distribution systems, and supply chains address lot sizing and scheduling problems as part of their duties. These problems are concerned…
(more)

Subjects/Keywords: 519.7; inventory control; stochastic demand; periodic review

Record Details Similar Records

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APA (6^{th} Edition):

Alrasheedi, A. F. (2015). Stochastic joint replenishment problems : periodic review policies. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/10480

Chicago Manual of Style (16^{th} Edition):

Alrasheedi, Adel Fahad. “Stochastic joint replenishment problems : periodic review policies.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed January 20, 2021. http://hdl.handle.net/1842/10480.

MLA Handbook (7^{th} Edition):

Alrasheedi, Adel Fahad. “Stochastic joint replenishment problems : periodic review policies.” 2015. Web. 20 Jan 2021.

Vancouver:

Alrasheedi AF. Stochastic joint replenishment problems : periodic review policies. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1842/10480.

Council of Science Editors:

Alrasheedi AF. Stochastic joint replenishment problems : periodic review policies. [Doctoral Dissertation]. University of Edinburgh; 2015. Available from: http://hdl.handle.net/1842/10480

Hong Kong University of Science and Technology

21.
Yu, Peiwen.
Three essays on *stochastic* dynamic inventory management.

Degree: 2014, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-86167 ; https://doi.org/10.14711/thesis-b1288887 ; http://repository.ust.hk/ir/bitstream/1783.1-86167/1/th_redirect.html

► My dissertation focuses on *stochastic* dynamic inventory theory and its applications in inventory management, especially in perishable inventory systems. Essay 1: We apply the concept…
(more)

Subjects/Keywords: Inventory control ; Mathematical models ; Stochastic processes

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APA (6^{th} Edition):

Yu, P. (2014). Three essays on stochastic dynamic inventory management. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-86167 ; https://doi.org/10.14711/thesis-b1288887 ; http://repository.ust.hk/ir/bitstream/1783.1-86167/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Yu, Peiwen. “Three essays on stochastic dynamic inventory management.” 2014. Thesis, Hong Kong University of Science and Technology. Accessed January 20, 2021. http://repository.ust.hk/ir/Record/1783.1-86167 ; https://doi.org/10.14711/thesis-b1288887 ; http://repository.ust.hk/ir/bitstream/1783.1-86167/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yu, Peiwen. “Three essays on stochastic dynamic inventory management.” 2014. Web. 20 Jan 2021.

Vancouver:

Yu P. Three essays on stochastic dynamic inventory management. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2014. [cited 2021 Jan 20]. Available from: http://repository.ust.hk/ir/Record/1783.1-86167 ; https://doi.org/10.14711/thesis-b1288887 ; http://repository.ust.hk/ir/bitstream/1783.1-86167/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu P. Three essays on stochastic dynamic inventory management. [Thesis]. Hong Kong University of Science and Technology; 2014. Available from: http://repository.ust.hk/ir/Record/1783.1-86167 ; https://doi.org/10.14711/thesis-b1288887 ; http://repository.ust.hk/ir/bitstream/1783.1-86167/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

University of New Mexico

22.
Lesser, Kendra Anne.
Computational Techniques for *Stochastic* Reachability.

Degree: Electrical and Computer Engineering, 2015, University of New Mexico

URL: http://hdl.handle.net/1928/25795

► As automated *control* systems grow in prevalence and complexity, there is an increasing demand for verification and controller synthesis methods to ensure these systems perform…
(more)

Subjects/Keywords: Control Theory; Reachability; Stochastic Hybrid Systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Lesser, K. A. (2015). Computational Techniques for Stochastic Reachability. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/25795

Chicago Manual of Style (16^{th} Edition):

Lesser, Kendra Anne. “Computational Techniques for Stochastic Reachability.” 2015. Doctoral Dissertation, University of New Mexico. Accessed January 20, 2021. http://hdl.handle.net/1928/25795.

MLA Handbook (7^{th} Edition):

Lesser, Kendra Anne. “Computational Techniques for Stochastic Reachability.” 2015. Web. 20 Jan 2021.

Vancouver:

Lesser KA. Computational Techniques for Stochastic Reachability. [Internet] [Doctoral dissertation]. University of New Mexico; 2015. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1928/25795.

Council of Science Editors:

Lesser KA. Computational Techniques for Stochastic Reachability. [Doctoral Dissertation]. University of New Mexico; 2015. Available from: http://hdl.handle.net/1928/25795

University of Southern California

23.
Theodorou, Evangelos A.
Iterative path integral *stochastic* optimal *control*: theory
and applications to motor * control*.

Degree: PhD, Computer Science, 2011, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/468575/rec/3680

► Motivated by the limitations of current optimal *control* and reinforcement learning methods in terms of their efficiency and scalability, this thesis proposes an iterative *stochastic*…
(more)

Subjects/Keywords: stochastic optimal control; reinforcement learning,; robotics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Theodorou, E. A. (2011). Iterative path integral stochastic optimal control: theory and applications to motor control. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/468575/rec/3680

Chicago Manual of Style (16^{th} Edition):

Theodorou, Evangelos A. “Iterative path integral stochastic optimal control: theory and applications to motor control.” 2011. Doctoral Dissertation, University of Southern California. Accessed January 20, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/468575/rec/3680.

MLA Handbook (7^{th} Edition):

Theodorou, Evangelos A. “Iterative path integral stochastic optimal control: theory and applications to motor control.” 2011. Web. 20 Jan 2021.

Vancouver:

Theodorou EA. Iterative path integral stochastic optimal control: theory and applications to motor control. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Jan 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/468575/rec/3680.

Council of Science Editors:

Theodorou EA. Iterative path integral stochastic optimal control: theory and applications to motor control. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/468575/rec/3680

Georgia Tech

24.
Ye, Fan.
Information relaxation in *stochastic* optimal * control*.

Degree: PhD, Industrial and Systems Engineering, 2015, Georgia Tech

URL: http://hdl.handle.net/1853/55511

► Dynamic programming is a principal method for analyzing *stochastic* optimal *control* problems. However, the exact computation of dynamic programming can be intractable in large-scale problems…
(more)

Subjects/Keywords: Dynamic programming; Stochastic control; Information relaxation; Duality

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ye, F. (2015). Information relaxation in stochastic optimal control. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55511

Chicago Manual of Style (16^{th} Edition):

Ye, Fan. “Information relaxation in stochastic optimal control.” 2015. Doctoral Dissertation, Georgia Tech. Accessed January 20, 2021. http://hdl.handle.net/1853/55511.

MLA Handbook (7^{th} Edition):

Ye, Fan. “Information relaxation in stochastic optimal control.” 2015. Web. 20 Jan 2021.

Vancouver:

Ye F. Information relaxation in stochastic optimal control. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1853/55511.

Council of Science Editors:

Ye F. Information relaxation in stochastic optimal control. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55511

University of Arizona

25. Lei, Henry. Strategies for Two Alternative Forced Choice Navigation Tasks .

Degree: 2020, University of Arizona

URL: http://hdl.handle.net/10150/648650

► In the engineering community, there has been a growing interest in emulating robust continuous decision mechanisms, often found implicitly in biological systems, in engineered autonomous…
(more)

Subjects/Keywords: Model Predictive Control; Signal Processing; Stochastic Systems

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APA (6^{th} Edition):

Lei, H. (2020). Strategies for Two Alternative Forced Choice Navigation Tasks . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/648650

Chicago Manual of Style (16^{th} Edition):

Lei, Henry. “Strategies for Two Alternative Forced Choice Navigation Tasks .” 2020. Masters Thesis, University of Arizona. Accessed January 20, 2021. http://hdl.handle.net/10150/648650.

MLA Handbook (7^{th} Edition):

Lei, Henry. “Strategies for Two Alternative Forced Choice Navigation Tasks .” 2020. Web. 20 Jan 2021.

Vancouver:

Lei H. Strategies for Two Alternative Forced Choice Navigation Tasks . [Internet] [Masters thesis]. University of Arizona; 2020. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10150/648650.

Council of Science Editors:

Lei H. Strategies for Two Alternative Forced Choice Navigation Tasks . [Masters Thesis]. University of Arizona; 2020. Available from: http://hdl.handle.net/10150/648650

University of Michigan

26.
Berning Jr, Andrew.
* Control* and Optimization for Aerospace Systems with

Degree: PhD, Aerospace Engineering, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/162992

► The topic of this dissertation is the *control* and optimization of aerospace systems under the influence of *stochastic* disturbances, uncertainties, and *subject* to chance constraints.…
(more)

Subjects/Keywords: Model Predictive Control; Stochastic Control; Stochastic Optimization; Quadratic Programming; Spacecraft Applications; Aerospace Engineering; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Berning Jr, A. (2020). Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/162992

Chicago Manual of Style (16^{th} Edition):

Berning Jr, Andrew. “Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints.” 2020. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/162992.

MLA Handbook (7^{th} Edition):

Berning Jr, Andrew. “Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints.” 2020. Web. 20 Jan 2021.

Vancouver:

Berning Jr A. Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/162992.

Council of Science Editors:

Berning Jr A. Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/162992

Western Kentucky University

27.
Cheng, Gang.
Analyzing and Solving Non-Linear *Stochastic* Dynamic Models on Non-Periodic Discrete Time Domains.

Degree: MS, Department of Mathematics, 2013, Western Kentucky University

URL: https://digitalcommons.wku.edu/theses/1236

► *Stochastic* dynamic programming is a recursive method for solving sequential or multistage decision problems. It helps economists and mathematicians construct and solve a huge…
(more)

Subjects/Keywords: Dynamic Programming; Stochastic Programming; Stochastic Control Theory; Stochastic Differential Equations; Stochastic Analysis; Martingales (Mathematics); Analysis; Applied Mathematics; Mathematics; Statistics and Probability

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Cheng, G. (2013). Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains. (Masters Thesis). Western Kentucky University. Retrieved from https://digitalcommons.wku.edu/theses/1236

Chicago Manual of Style (16^{th} Edition):

Cheng, Gang. “Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains.” 2013. Masters Thesis, Western Kentucky University. Accessed January 20, 2021. https://digitalcommons.wku.edu/theses/1236.

MLA Handbook (7^{th} Edition):

Cheng, Gang. “Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains.” 2013. Web. 20 Jan 2021.

Vancouver:

Cheng G. Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains. [Internet] [Masters thesis]. Western Kentucky University; 2013. [cited 2021 Jan 20]. Available from: https://digitalcommons.wku.edu/theses/1236.

Council of Science Editors:

Cheng G. Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains. [Masters Thesis]. Western Kentucky University; 2013. Available from: https://digitalcommons.wku.edu/theses/1236

University of California – Santa Cruz

28.
Anderson, Ross.
Uncertainty-Anticipating *Stochastic* Optimal Feedback *Control* of Autonomous Vehicle Models.

Degree: Applied Mathematics and Statistics, 2014, University of California – Santa Cruz

URL: http://www.escholarship.org/uc/item/3400q1w1

► *Control* of autonomous vehicle teams has emerged as a key topic in the *control* and robotics communities, owing to a growing range of applications that…
(more)

Subjects/Keywords: Applied mathematics; Robotics; dubins vehicle; nonlinear control; path-integral control; self-triggered control; stochastic optimal control; stochastic processes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Anderson, R. (2014). Uncertainty-Anticipating Stochastic Optimal Feedback Control of Autonomous Vehicle Models. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/3400q1w1

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Anderson, Ross. “Uncertainty-Anticipating Stochastic Optimal Feedback Control of Autonomous Vehicle Models.” 2014. Thesis, University of California – Santa Cruz. Accessed January 20, 2021. http://www.escholarship.org/uc/item/3400q1w1.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Anderson, Ross. “Uncertainty-Anticipating Stochastic Optimal Feedback Control of Autonomous Vehicle Models.” 2014. Web. 20 Jan 2021.

Vancouver:

Anderson R. Uncertainty-Anticipating Stochastic Optimal Feedback Control of Autonomous Vehicle Models. [Internet] [Thesis]. University of California – Santa Cruz; 2014. [cited 2021 Jan 20]. Available from: http://www.escholarship.org/uc/item/3400q1w1.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anderson R. Uncertainty-Anticipating Stochastic Optimal Feedback Control of Autonomous Vehicle Models. [Thesis]. University of California – Santa Cruz; 2014. Available from: http://www.escholarship.org/uc/item/3400q1w1

Not specified: Masters Thesis or Doctoral Dissertation

University of Oxford

29.
Evans, Martin A.
Multiplicative robust and *stochastic* MPC with application to wind turbine * control*.

Degree: PhD, 2014, University of Oxford

URL: http://ora.ox.ac.uk/objects/uuid:0ad9b878-00f3-4cfa-a683-148765e3ae39 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635233

► A robust model predictive *control* algorithm is presented that explicitly handles multiplicative, or parametric, uncertainty in linear discrete models over a finite horizon. The uncertainty…
(more)

Subjects/Keywords: 629.8; Control engineering; predictive control; model predictive control; robust control; stochastic MPC; probabilistic control; control theory; wind power; wind turbine control

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Evans, M. A. (2014). Multiplicative robust and stochastic MPC with application to wind turbine control. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:0ad9b878-00f3-4cfa-a683-148765e3ae39 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635233

Chicago Manual of Style (16^{th} Edition):

Evans, Martin A. “Multiplicative robust and stochastic MPC with application to wind turbine control.” 2014. Doctoral Dissertation, University of Oxford. Accessed January 20, 2021. http://ora.ox.ac.uk/objects/uuid:0ad9b878-00f3-4cfa-a683-148765e3ae39 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635233.

MLA Handbook (7^{th} Edition):

Evans, Martin A. “Multiplicative robust and stochastic MPC with application to wind turbine control.” 2014. Web. 20 Jan 2021.

Vancouver:

Evans MA. Multiplicative robust and stochastic MPC with application to wind turbine control. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2021 Jan 20]. Available from: http://ora.ox.ac.uk/objects/uuid:0ad9b878-00f3-4cfa-a683-148765e3ae39 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635233.

Council of Science Editors:

Evans MA. Multiplicative robust and stochastic MPC with application to wind turbine control. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:0ad9b878-00f3-4cfa-a683-148765e3ae39 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635233

University of Oxford

30.
Ng, Desmond Han Tien.
* Stochastic* model predictive

Degree: PhD, 2011, University of Oxford

URL: http://ora.ox.ac.uk/objects/uuid:b56df5ea-10ee-428f-aeb9-1479ce9a7b5f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543533

► The work in this thesis focuses on the development of a *Stochastic* Model Predictive *Control* (SMPC) algorithm for linear systems with additive and multiplicative *stochastic*…
(more)

Subjects/Keywords: 003.5; Control engineering; Tube MPC; Stochastic MPC; Model Predictive Control

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ng, D. H. T. (2011). Stochastic model predictive control. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:b56df5ea-10ee-428f-aeb9-1479ce9a7b5f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543533

Chicago Manual of Style (16^{th} Edition):

Ng, Desmond Han Tien. “Stochastic model predictive control.” 2011. Doctoral Dissertation, University of Oxford. Accessed January 20, 2021. http://ora.ox.ac.uk/objects/uuid:b56df5ea-10ee-428f-aeb9-1479ce9a7b5f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543533.

MLA Handbook (7^{th} Edition):

Ng, Desmond Han Tien. “Stochastic model predictive control.” 2011. Web. 20 Jan 2021.

Vancouver:

Ng DHT. Stochastic model predictive control. [Internet] [Doctoral dissertation]. University of Oxford; 2011. [cited 2021 Jan 20]. Available from: http://ora.ox.ac.uk/objects/uuid:b56df5ea-10ee-428f-aeb9-1479ce9a7b5f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543533.

Council of Science Editors:

Ng DHT. Stochastic model predictive control. [Doctoral Dissertation]. University of Oxford; 2011. Available from: http://ora.ox.ac.uk/objects/uuid:b56df5ea-10ee-428f-aeb9-1479ce9a7b5f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543533