Date of Award
1-1-2010
Document Type
Dissertation
Degree Name
Ph.D.
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science
First Advisor
Rahmat Shoureshi, Ph.D.
Second Advisor
Anneliese Andrews
Third Advisor
Corinne Lengsfeld
Fourth Advisor
Kimon P. Valavanis
Fifth Advisor
Yun Bo Yi
Keywords
Controllability, Distributed system, Large-scale system, Nonlinear system, Observability, Thermal dynamic system
Abstract
This study presents a new approach to determine the controllability and observability of a large scale nonlinear dynamic thermal system using graph-theory. The novelty of this method is in adapting graph theory for nonlinear class and establishing a graphic condition that describes the necessary and sufficient terms for a nonlinear class system to be controllable and observable, which equivalents to the analytical method of Lie algebra rank condition. The graph theory of a directed graph (digraph) is utilized to model the system, and the rule of its adaptation in nonlinear class is defined. Subsequently, necessary and sufficient terms to achieve controllability and observability condition are investigated through the structural property of a digraph called connectability. It will be shown that the connectability condition between input and states, as well as output and states of a nonlinear system are equivalent to Lie-algebra rank condition. This approach has been proven to be easier from a computational point of view and is thus found to be useful when dealing with a large system.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Virdiansyah Permana
Provenance
Received from ProQuest
File Format
application/pdf
Language
en
File Size
196 p.
Recommended Citation
Permana, Virdiansyah, "Controllability and Observability of a Large Scale Thermodynamical System via Connectability Approach" (2010). Electronic Theses and Dissertations. 506.
https://digitalcommons.du.edu/etd/506
Copyright date
2010
Discipline
Mechanical engineering, Engineering, System science