title: Data-based fault-tolerant control for affine nonlinear systems with actuator faults.
abstract: This paper investigates the fault-tolerant control (FTC) problem for unknown nonlinear systems with actuator faults including stuck, outage, bias and loss of effectiveness. The upper bounds of stuck faults, bias faults and loss of effectiveness faults are unknown. A new data-based FTC scheme is proposed. It consists of the online estimations of the bounds and a state-dependent function. The estimations are adjusted online to compensate automatically the actuator faults. The state-dependent function solved by using real system data helps to stabilize the system. Furthermore, all signals in the resulting closed-loop system are uniformly bounded and the states converge asymptotically to zero. Compared with the existing results, the proposed approach is data-based. Finally, two simulation examples are provided to show the effectiveness of the proposed approach.
authors.affiliation: College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China. Electronic address: xie.chun_hua@163.com.
authors.forename: Chun-Hua
authors.initials: CH
authors.lastname: Xie
authors.affiliation: College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, PR China. Electronic address: yangguanghong@ise.neu.edu.cn.
authors.forename: Guang-Hong
authors.initials: GH
authors.lastname: Yang
keywords: Actuator faults; Data-based policy iteration algorithm; Fault-tolerant control; Unknown nonlinear systems