期刊
IEEE TRANSACTIONS ON CYBERNETICS
卷 49, 期 7, 页码 2536-2545出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2018.2828308
关键词
Fault tolerant control (FTC); finite-time stability; neural networks (NNs); switched nonlinear systems
类别
资金
- National Natural Science Foundation of China [61622303, 61603164, 61773188]
- Program for Liaoning Innovative Research Team in University [LT2016006]
- Fundamental Research Funds for the Universities of Liaoning Province [JZL201715402]
- Program for Distinguished Professor of Liaoning Province
This paper concentrates upon the problem of finite-time fault-tolerant control for a class of switched nonlinear systems in lower-triangular form under arbitrary switching signals. Both loss of effectiveness and bias fault in actuator are taken into account. The method developed extends the traditional finite-time convergence from nonswitched lower-triangular nonlinear systems to switched version by designing appropriate controller and adaptive laws. In contrast to the previous results, it is the first time to handle the fault tolerant problem for switched system while the finite-time stability is also necessary. Meanwhile, there exist unknown internal dynamics in the switched system, which are identified by the radial basis function neural networks. It is proved that under the presented control strategy, the system output tracks the reference signal in the sense of finite-time stability. Finally, an illustrative simulation on a resistor-capacitor-inductor circuit is proposed to further demonstrate the effectiveness of the theoretical result.
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