期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 26, 期 2, 页码 1046-1051出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2017.2686819
关键词
Fault-tolerant control (FTC); mismatched premise membership functions; nonlinear systems; polynomial fuzzy systems; sum of squares (SOS) optimization approach
资金
- Funds of National Natural Science of China [61273155, 61322312, 61621004]
- Fok Ying Tung Education Foundation [141060]
- Fundamental Research Funds for the Central Universities [N160402004]
- Foundation of State Key Laboratory of Robotics [2016-O01]
- Liaoning BaiQianWan Talents Program [201517]
- Youth Innovation Promotion Association CAS
This paper studies the fault-tolerant control problem for a class of nonlinear systems based on polynomial fuzzy model. A typical actuator fault model is presented to describe the loss of effectiveness fault in a multimode framework. The considered polynomial-fuzzy-model-based systems are more general, since the assumption that the input matrix B-i(x), i = 1,..., p has at least one zero row, is not required any more. A polynomial Lyapunov function candidate depending on any system state is applied to design the fault-tolerant controller, in which the number of rules and membership functions can be matched or mismatched with polynomial fuzzy model. To deal with nonconvex problem, some nonlinear terms are successfully described as an index to be optimized to zero by a semidefinite programming. Compared with some published works, the resultant sum of squares based design conditions are with less computation complexity and potentially more relaxed. Using the third-party MATLAB toolbox SOS-TOOLS, simulation examples are given to illustrate the effectiveness of the new method.
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