Decentralized fault-tolerant control for a class of nonlinear large-scale systems with actuator faults

详细信息    查看全文

• 作者：Chao Deng^a ; ^{dengchao_neu@126.com} ; Guang-Hong Yang ; ^a ; ^b ; ^{yangguanghong@ise.neu.edu.cn} ; ^{yangguanghong@mail.neu.edu.cn}
• 关键词：Fault-tolerant control (FTC) ; Matched uncertainty ; Linear matrix inequalities (LMIs) ; Takagi-Sugeno (T-S) fuzzy model ; Large-scale systems
• 刊名：Information Sciences
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：382-383
• 期：Complete
• 页码：334-349
• 全文大小：1215 K
• 卷排序：382

文摘

This paper considers the decentralized fault-tolerant control for a class of nonlinear large-scale systems with actuator faults containing stuck, outage and loss of effectiveness. By Takagi–Sugeno fuzzification, each subsystem of the nonlinear large-scale systems is described in the form of a Takagi–Sugeno fuzzy model with nonlinear interconnections. Under the assumption that each nominal local subsystem model shares the same input matrix, the matrix full rank factorization technique is used to present a decentralized sliding mode fault-tolerant controller to compensate the actuator faults and interconnections. In addition, it is proved that the proposed decentralized controller guarantees the asymptotically stability of the closed-loop systems. Finally, three simulation examples are given to illustrate the effectiveness of the proposed controller.