title: Data-driven output-feedback fault-tolerant L2 control of unknown dynamic systems.
abstract: This paper studies the data-driven output-feedback fault-tolerant L2-control problem for unknown dynamic systems. In a framework of active fault-tolerant control (FTC), three issues are addressed, including fault detection, controller reconfiguration for optimal guaranteed cost control, and tracking control. According to the data-driven form of observer-based residual generators, the system state is expressed in the form of the measured input-output data. On this basis, a model-free approach to L2 control of unknown linear time-invariant (LTI) discrete-time plants is given. To achieve tracking control, a design method for a pre-filter is also presented. With the aid of the aforementioned results and the input-output data-based time-varying value function approximation structure, a data-driven FTC scheme ensuring L2-gain properties is developed. To illustrate the effectiveness of the proposed methodology, two simulation examples are employed.
authors.affiliation: College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, PR China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110819, PR China. Electronic address: wangjs82@126.com.
authors.forename: Jun-Sheng
authors.initials: JS
authors.lastname: Wang
authors.affiliation: College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, PR China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110819, PR China. Electronic address: yangguanghong@ise.neu.edu.cn.
authors.forename: Guang-Hong
authors.initials: GH
authors.lastname: Yang
keywords: Data-driven methods; Fault-tolerant control; L(2)-gain performance; Output-feedback control