Fuzzy Adaptive Decentralized Optimal Control for Strict Feedback Nonlinear Large-Scale Systems

This paper considers the optimal decentralized fuzzy adaptive control design problem for a class of interconnected large-scale nonlinear systems in strict feedback form and with unknown nonlinear functions. The fuzzy logic systems are introduced to learn the unknown dynamics and cost functions, resp...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on cybernetics Vol. 48; no. 4; pp. 1326 - 1339
Main Authors Sun, Kangkang, Sui, Shuai, Tong, Shaocheng
Format Journal Article
LanguageEnglish
Published United States IEEE 01.04.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive control
Adaptive dynamic programming
Backstepping
Computer simulation
Control theory
Controllers
Cost function
Decentralized control
Feedback
Feedforward control
Feedforward neural networks
fuzzy adaptive backstepping control
Fuzzy control
Fuzzy logic
Fuzzy systems
Nonlinear control
nonlinear large-scale systems
Nonlinear systems
Optimal control
optimal decentralized controller
Online AccessGet full text

Cover

More Information
Summary:This paper considers the optimal decentralized fuzzy adaptive control design problem for a class of interconnected large-scale nonlinear systems in strict feedback form and with unknown nonlinear functions. The fuzzy logic systems are introduced to learn the unknown dynamics and cost functions, respectively, and a state estimator is developed. By applying the state estimator and the backstepping recursive design algorithm, a decentralized feedforward controller is established. By using the backstepping decentralized feedforward control scheme, the considered interconnected large-scale nonlinear system in strict feedback form is changed into an equivalent affine large-scale nonlinear system. Subsequently, an optimal decentralized fuzzy adaptive control scheme is constructed. The whole optimal decentralized fuzzy adaptive controller is composed of a decentralized feedforward control and an optimal decentralized control. It is proved that the developed optimal decentralized controller can ensure that all the variables of the control system are uniformly ultimately bounded, and the cost functions are the smallest. Two simulation examples are provided to illustrate the validity of the developed optimal decentralized fuzzy adaptive control scheme.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2168-2267
2168-2275
DOI:10.1109/TCYB.2017.2692384