Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10323680 | Fuzzy Sets and Systems | 2011 | 21 Pages |
Abstract
This paper proposes a novel Hâ tracking-based decentralized hybrid adaptive fuzzy controller via output feedback for a class of large-scale uncertain nonlinear systems. To achieve better adaptation properties, the proposed controller is a weighted combination of indirect and direct adaptive fuzzy controls (IAFC and DAFC) such that both fuzzy descriptions and control rules can be incorporated at the same time. After proper filtering of the observation error dynamics, the developed observer-based feedback and adaptation mechanisms become implementable indeed. By using fuzzy inference systems, a state observer and Hâ tracking technique, the decentralized combined indirect and direct adaptive fuzzy control algorithm is developed based upon a united Hâ tracking controller design for the modification of the previous work of Huang et al. The resultant closed-loop systems are guaranteed to be stable and a good Hâ tracking performance is obtained. Simulation results of interrelated inverted pendulums substantiate that the proposed CAFC system stands out as being better properties than typical IAFC and DAFC systems in that the tracking performance is much better while the control effort is even smaller.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yi-Shao Huang, Dong-Sheng Xiao, Xiao-Xin Chen, Qi-Xin Zhu, Zheng-Wu Wang,