Simultaneous Reconstruction Of The State, The Sensor Fault And The Uncertainty In Linear Systems
Authors: | Chen Maoyin, Tsinghua University, China Zhou Donghua, Tsinghua University, China Shang Yun, Shaanxi Normal University, China |
---|
Topic: | 6.4 Safeprocess |
---|
Session: | Fault Detection and Identification |
---|
Keywords: | sensor fault, fault detection and isolation, state observer, iterative learning, chaos synchronization, chaotic masking |
---|
Abstract
In this paper the problem of simultaneous reconstruction of the state, the sensor fault and the uncertainty in linear systems is considered. Inspired by the idea in chaotic masking, one scheme for chaotic secure communication, this paper proposes a new scheme to resolve the above problem. Together with the iterative learning strategy, the generalized state observer proposed in chaotic masking can simultaneously reconstruct the state, the sensor fault and the uncertainty. Theoretical analysis and numerical simulation verify the effectiveness of this scheme.