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You searched for subject:(Stochastic Control). Showing records 1 – 30 of 563 total matches.

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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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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 (6th 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 (16th 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 (7th 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)

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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

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

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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

  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 (6th 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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th 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.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th 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.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th 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.

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

14. Exarchos, Ioannis. Stochastic optimal control - a forward and backward sampling approach.

Degree: PhD, Aerospace Engineering, 2017, Georgia Tech

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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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

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

APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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

APA (6th 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 (16th 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 (7th 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

 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 (6th 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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th 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.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

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

APA (6th 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 (16th 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 (7th 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 Stochastic Disturbances, Uncertainties, and Constraints.

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

 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 (6th 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 (16th 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 (7th 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

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

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

APA (6th 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 (16th 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 (7th 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

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 (6th 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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th 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.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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 (16th 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 (7th 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 control.

Degree: PhD, 2011, University of Oxford

 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

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APA (6th 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 (16th 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 (7th 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

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