Data-driven output-feedback fault-tolerant L2 control of unknown dynamic systems. (July 2016)

• Record Type: Journal Article
• Authors: Wang, Jun-Sheng; Yang, Guang-Hong
• Is Part Of: ISA transactions. Volume 63(2016:Jul.)
• Page Start: 182
• Page End: 195
• Publication Date: 2016-07
• Subjects: Data-driven methods -- Fault-tolerant control -- L2-gain performance -- Output-feedback control; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2016.04.014
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: This paper studies the data-driven output-feedback fault-tolerant L 2 -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 L 2 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 L 2 -gain properties is developed. To illustrate the effectiveness of the proposed methodology, two simulation examples are employed. Abstract : Highlights: The system state is expressed via the data-driven form of residual generators. For unknown LTI plants, an output-feedback approach to the L 2 -gain problem is given. A data-driven output-feedback fault-tolerant L 2 -control scheme is designed.