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You searched for `subject:(dynamical structure functions)`

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Brigham Young University

1.
Jin, Meilan.
Signal *Structure* for a Class of Nonlinear Dynamic Systems.

Degree: MS, 2018, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7829&context=etd

► The signal *structure* is a partial *structure* representation for dynamic systems. It characterizes the causal relationship between manifest variables and is depicted in a weighted…
(more)

Subjects/Keywords: signal structure; complete computational structure; dynamical structure functions; nonlinear dynamic systems; linear time-invariant systems; partial structure representations; structure representations; Computer Sciences

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

APA (6^{th} Edition):

Jin, M. (2018). Signal Structure for a Class of Nonlinear Dynamic Systems. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7829&context=etd

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

Jin, Meilan. “Signal Structure for a Class of Nonlinear Dynamic Systems.” 2018. Masters Thesis, Brigham Young University. Accessed November 13, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7829&context=etd.

MLA Handbook (7^{th} Edition):

Jin, Meilan. “Signal Structure for a Class of Nonlinear Dynamic Systems.” 2018. Web. 13 Nov 2019.

Vancouver:

Jin M. Signal Structure for a Class of Nonlinear Dynamic Systems. [Internet] [Masters thesis]. Brigham Young University; 2018. [cited 2019 Nov 13]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7829&context=etd.

Council of Science Editors:

Jin M. Signal Structure for a Class of Nonlinear Dynamic Systems. [Masters Thesis]. Brigham Young University; 2018. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7829&context=etd

Brigham Young University

2. Woodbury, Nathan Scott. Representation and Reconstruction of Linear, Time-Invariant Networks.

Degree: PhD, 2019, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8402&context=etd

► Network reconstruction is the process of recovering a unique structured representation of some dynamic system using input-output data and some additional knowledge about the *structure*…
(more)

Subjects/Keywords: Dynamic systems; networks; network reconstruction; target specificity; system identification; learning; linear systems; system representations; state space models; generalized state space models; dynamical structure functions; dynamical network functions; DSF; DNF; multi-DSF; feedback; well-posedness; algebraic loops; representability; abstraction; immersion; identifiability; informativity; data; proper systems; strictly proper systems; causality; strict causality; frequency domain; time domain

Record Details Similar Records

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

APA (6^{th} Edition):

Woodbury, N. S. (2019). Representation and Reconstruction of Linear, Time-Invariant Networks. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8402&context=etd

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

Woodbury, Nathan Scott. “Representation and Reconstruction of Linear, Time-Invariant Networks.” 2019. Doctoral Dissertation, Brigham Young University. Accessed November 13, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8402&context=etd.

MLA Handbook (7^{th} Edition):

Woodbury, Nathan Scott. “Representation and Reconstruction of Linear, Time-Invariant Networks.” 2019. Web. 13 Nov 2019.

Vancouver:

Woodbury NS. Representation and Reconstruction of Linear, Time-Invariant Networks. [Internet] [Doctoral dissertation]. Brigham Young University; 2019. [cited 2019 Nov 13]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8402&context=etd.

Council of Science Editors:

Woodbury NS. Representation and Reconstruction of Linear, Time-Invariant Networks. [Doctoral Dissertation]. Brigham Young University; 2019. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8402&context=etd

Brigham Young University

3.
Leung, Chi Ho.
Necessary and Sufficient Conditions on State Transformations That Preserve the Causal *Structure* of LTI *Dynamical* Networks.

Degree: MS, 2019, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8413&context=etd

► Linear time-invariant (LTI) dynamic networks are described by their *dynamical* *structure* function, and generally, they have many possible state space realizations. This work characterizes the…
(more)

Subjects/Keywords: linear systems; state-space methods; necessary conditions; sufficient conditions; state transformation; causal structure; LTI dynamical networks; linear time-invariant dynamic networks; dynamical structure function; specific dynamic network; state space realizations; Computational modeling; Mathematical model; Aerospace electronics; Transfer functions; Linear systems; Structural engineering; Heuristic algorithms; Physical Sciences and Mathematics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Leung, C. H. (2019). Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8413&context=etd

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

Leung, Chi Ho. “Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks.” 2019. Masters Thesis, Brigham Young University. Accessed November 13, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8413&context=etd.

MLA Handbook (7^{th} Edition):

Leung, Chi Ho. “Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks.” 2019. Web. 13 Nov 2019.

Vancouver:

Leung CH. Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks. [Internet] [Masters thesis]. Brigham Young University; 2019. [cited 2019 Nov 13]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8413&context=etd.

Council of Science Editors:

Leung CH. Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks. [Masters Thesis]. Brigham Young University; 2019. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8413&context=etd

Brigham Young University

4.
Leung, Chi Ho.
Necessary and Sufficient Conditions on State Transformations That Preserve the Causal *Structure* of LTI *Dynamical* Networks.

Degree: MS, 2019, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8416&context=etd

► Linear time-invariant (LTI) dynamic networks are described by their *dynamical* *structure* function, and generally, they have many possible state space realizations. This work characterizes the…
(more)

Subjects/Keywords: linear systems; state-space methods; necessary conditions; sufficient conditions; state transformation; causal structure; LTI dynamical networks; linear time-invariant dynamic networks; dynamical structure function; specific dynamic network; state space realizations; Computational modeling; Mathematical model; Aerospace electronics; Transfer functions; Linear systems; Structural engineering; Heuristic algorithms; Physical Sciences and Mathematics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Leung, C. H. (2019). Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8416&context=etd

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

Leung, Chi Ho. “Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks.” 2019. Masters Thesis, Brigham Young University. Accessed November 13, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8416&context=etd.

MLA Handbook (7^{th} Edition):

Leung, Chi Ho. “Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks.” 2019. Web. 13 Nov 2019.

Vancouver:

Leung CH. Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks. [Internet] [Masters thesis]. Brigham Young University; 2019. [cited 2019 Nov 13]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8416&context=etd.

Council of Science Editors:

Leung CH. Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks. [Masters Thesis]. Brigham Young University; 2019. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8416&context=etd

Brigham Young University

5.
Leung, Chi Ho.
Necessary and Sufficient Conditions on State Transformations That Preserve the Causal *Structure* of LTI *Dynamical* Networks.

Degree: MS, 2019, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8470&context=etd

► Linear time-invariant (LTI) dynamic networks are described by their *dynamical* *structure* function, and generally, they have many possible state space realizations. This work characterizes the…
(more)

Subjects/Keywords: linear systems; state-space methods; necessary conditions; sufficient conditions; state transformation; causal structure; LTI dynamical networks; linear time-invariant dynamic networks; dynamical structure function; specific dynamic network; state space realizations; Computational modeling; Mathematical model; Aerospace electronics; Transfer functions; Linear systems; Structural engineering; Heuristic algorithms; Physical Sciences and Mathematics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Leung, C. H. (2019). Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8470&context=etd

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

Leung, Chi Ho. “Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks.” 2019. Masters Thesis, Brigham Young University. Accessed November 13, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8470&context=etd.

MLA Handbook (7^{th} Edition):

Leung, Chi Ho. “Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks.” 2019. Web. 13 Nov 2019.

Vancouver:

Leung CH. Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks. [Internet] [Masters thesis]. Brigham Young University; 2019. [cited 2019 Nov 13]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8470&context=etd.

Council of Science Editors:

Leung CH. Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks. [Masters Thesis]. Brigham Young University; 2019. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8470&context=etd

Brigham Young University

6.
Chetty, Vasu Nephi.
Necessary and Sufficient Informativity Conditions for Robust Network Reconstruction Using *Dynamical* *Structure* * Functions*.

Degree: MS, 2012, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4809&context=etd

► *Dynamical* *structure* *functions* were developed as a partial *structure* representation of linear time-invariant systems to be used in the reconstruction of biological networks. *Dynamical* *structure*…
(more)

Subjects/Keywords: Realization theory; dynamical structure functions; informativity conditions; network reconstruction; network inference; system identification; dynamic interference maps; wireless networks; PAS Kinase pathway; chemical reaction networks; partial structure representation; linear time-invariant systems; Computer Sciences

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Chetty, V. N. (2012). Necessary and Sufficient Informativity Conditions for Robust Network Reconstruction Using Dynamical Structure Functions. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4809&context=etd

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

Chetty, Vasu Nephi. “Necessary and Sufficient Informativity Conditions for Robust Network Reconstruction Using Dynamical Structure Functions.” 2012. Masters Thesis, Brigham Young University. Accessed November 13, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4809&context=etd.

MLA Handbook (7^{th} Edition):

Chetty, Vasu Nephi. “Necessary and Sufficient Informativity Conditions for Robust Network Reconstruction Using Dynamical Structure Functions.” 2012. Web. 13 Nov 2019.

Vancouver:

Chetty VN. Necessary and Sufficient Informativity Conditions for Robust Network Reconstruction Using Dynamical Structure Functions. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2019 Nov 13]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4809&context=etd.

Council of Science Editors:

Chetty VN. Necessary and Sufficient Informativity Conditions for Robust Network Reconstruction Using Dynamical Structure Functions. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4809&context=etd