A Comprehensive Diagnosis of Hybrid Systems for Discrete and Parametric Faults Using Hybrid I/O Automata. Issue 21 (2015)

• Record Type: Journal Article
• Authors: Zhou, Gan; Biswas, Gautam; Feng, Wenquan
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 21(2015)
• Page Start: 143
• Page End: 149
• Publication Date: 2015
• Subjects: Hybrid systems -- Hybrid I/O automata -- Hybrid observer -- Fault detection and isolation -- minimal overconstrained subsystem; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.09.518
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper proposes an efficient online monitoring and diagnosis scheme for hybrid systems. The modeling framework is based on extended probabilistic hybrid I/O automata that represent the system behavior, coupling the continuous and discrete dynamics. The diagnosis architecture consists of two primary components: (1) a hybrid observer and (2) a diagnostics module. The hybrid observer employs a focused probabilistic estimation technique to track continuous behavior interspersed with discrete mode changes. The diagnostics module combines fault detection and isolation using a structural residual analysis method. Both discrete and parametric faults are considered in our framework. The working is illustrated on a hybrid two-tank system to demonstrate the effectiveness of this approach.