Paper Info
Title
Fuzzy control with input energy and state variance constraints for perturbed ship steering systems
Abstract
In this paper, a fuzzy controller design problem is considered for nonlinear perturbed ship steering systems. The nonlinear perturbed ship steering system is transformed into a Takagi-Sugeno (T-S) fuzzy model, which has similar dynamics to the original nonlinear system. By using linear feedback controller design technology, a nonlinear fuzzy controller is developed for the perturbed T-S type ship steering model. Building on the nonlinear fuzzy controller, a number of most important performance constraints in fuzzy control systems are addressed. These include stability conditions, minimum control input energy, and individual state variance constraints. Finally, a numerical simulation is given to show the effects of the proposed fuzzy control methodology.
Year
DOI
Venue
2006
10.1504/IJCAT.2006.011139
IJCAT
Keywords
Field
DocType
t-s type ship steering,fuzzy model,linear feedback controller design,fuzzy control system,original nonlinear system,nonlinear fuzzy controller,fuzzy controller design problem,state variance constraint,minimum control input energy,proposed fuzzy control methodology,ship steering system,fuzzy control,simulation,linear matrix inequality,stability
Control theory,Nonlinear system,Computer simulation,Control theory,Nonlinear control,Fuzzy logic,Stability conditions,Control engineering,Engineering,Fuzzy control system,Linear matrix inequality
Journal
Volume
Issue
ISSN
27
2/3
0952-8091
Citations 
PageRank 
References 
2
0.37
9
Authors
2
Name
Order
Citations
PageRank
Wen-Jer Chang117522.68
Sheng-Ming Wu2143.14