期刊
FUZZY SETS AND SYSTEMS
卷 164, 期 1, 页码 25-44出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.fss.2010.09.002
关键词
Adaptive fuzzy control; Nonlinear MIMO systems; State observer; Nussbaum-gain technique
资金
- National Natural Science Foundation of China [61074014, 60874056]
- China Postdoctoral Science Foundation [200902241]
- Foundation of Educational Department of Liaoning Province [L2010181, 2009S054]
- Natural Science Foundation of Liaoning Province [20102095]
This paper addresses the adaptive fuzzy tracking control problem for a class of uncertain nonlinear MIMO systems with the external disturbances. The adaptive fuzzy controllers are designed under the constraint that only system output is available for measurement. Then, it is needed to design a state observer to estimate the unmeasured states. In the observer design procedure, two prominent advantages are that it does not require the sign of the control gain coefficient to be known and only two parameters need to be adjusted on-line for each subsystem. By using Lyapunov analysis method, it is proven that all the signals in the closed-loop system are guaranteed to be bounded and the system outputs track the reference signals to a bounded compact set. The feasibility of the proposed approach is validated by using two simulation examples. (C) 2010 Elsevier B.V. All rights reserved.
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