DocumentCode :
1539404
Title :
Cell mapping for controller design and evaluation
Author :
Papa, Mauricio ; Tai, Heng-Ming ; Shenoi, Sujeet
Author_Institution :
Centre for Intelligent Syst., Tulsa Univ., OK, USA
Volume :
17
Issue :
2
fYear :
1997
fDate :
4/1/1997 12:00:00 AM
Firstpage :
52
Lastpage :
65
Abstract :
Cell mapping is a powerful computational technique for analyzing the global behaviour of nonlinear dynamical systems. It simplifies the task of analyzing a continuous phase space by partitioning it into a finite number of disjoint cells and approximating system trajectories as cell transitions. The resulting cell map provides global measures of stability and other performance characteristics that are valuable in system analysis and controller design. This article shows how cell mapping can be used to design high-performance, conventional and fuzzy, controllers. It also shows how cell maps can provide global performance measures of the designed controllers, including time optimality, controllability, and empirical assessments of robustness. Evaluating controller performance based on these global measures is superior to simply examining time domain responses for various initial conditions
Keywords :
control system analysis; control system synthesis; controllability; nonlinear dynamical systems; phase space methods; stability; state-space methods; time optimal control; cell mapping; cell transitions; continuous phase space; controllability; feedback; nonlinear dynamical systems; robustness; stability; state space function; time optimality; Control system analysis; Control systems; Controllability; Fuzzy control; Nonlinear dynamical systems; Optimal control; Performance analysis; Robust control; Stability analysis; Time measurement;
fLanguage :
English
Journal_Title :
Control Systems, IEEE
Publisher :
ieee
ISSN :
1066-033X
Type :
jour
DOI :
10.1109/37.581295
Filename :
581295
Link To Document :
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