TY - JOUR
T1 - Fault reconstruction and resilient control for discrete-time stochastic systems
AU - Liu, Xiaoxu
AU - Gao, Zhiwei
AU - Chan, Chi Chiu
N1 - Funding information: This research was funded by the National Nature Science Foundation of China, grant number 61673074; Guangdong Basic and Applied Basic Research Foundation, grant number 2019A1515110234; and Nature Science Foundation of Top Talent of SZTU, grant number 2020106. The authors also would like to thank the research support from Northumbria University.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - In this paper, a novel resilient control technique is proposed for discrete-time stochastic Brownian systems with simultaneous unknown inputs and unexpected faults. Prior to previous work, the stochastic Brownian system under consideration is quite general, where stochastic perturbations exist in states, control inputs, uncertainties, and faults. Moreover, the unknown input uncertainties concerned cannot be fully decoupled. Innovative observer by employing augmented system approach, decomposition observer, and optimization algorithms is proposed to achieve simultaneous estimates of both states and faults. Furthermore, fault reconstruction-based signal compensation is formulated to alleviate the effects from actuator faults and sensor faults. An observer-based controller is eventually constructed to enhance the stability and robustness of the closed-loop dynamic system. The integrated resilient control technique can ensure the system has reliable output even under faults. Both linear systems and Lipschitz nonlinear systems are investigated and the design procedures are addressed, respectively. Finally, the proposed resilient control techniques are validated via an electromechanical servo-system, and an aircraft system.
AB - In this paper, a novel resilient control technique is proposed for discrete-time stochastic Brownian systems with simultaneous unknown inputs and unexpected faults. Prior to previous work, the stochastic Brownian system under consideration is quite general, where stochastic perturbations exist in states, control inputs, uncertainties, and faults. Moreover, the unknown input uncertainties concerned cannot be fully decoupled. Innovative observer by employing augmented system approach, decomposition observer, and optimization algorithms is proposed to achieve simultaneous estimates of both states and faults. Furthermore, fault reconstruction-based signal compensation is formulated to alleviate the effects from actuator faults and sensor faults. An observer-based controller is eventually constructed to enhance the stability and robustness of the closed-loop dynamic system. The integrated resilient control technique can ensure the system has reliable output even under faults. Both linear systems and Lipschitz nonlinear systems are investigated and the design procedures are addressed, respectively. Finally, the proposed resilient control techniques are validated via an electromechanical servo-system, and an aircraft system.
KW - Discrete-time systems
KW - General Brownian systems
KW - Integrated fault tolerant control
KW - State and fault estimation
UR - http://www.scopus.com/inward/record.url?scp=85102051316&partnerID=8YFLogxK
U2 - 10.1016/j.isatra.2021.02.007
DO - 10.1016/j.isatra.2021.02.007
M3 - Article
C2 - 33678423
SN - 1879-2022
VL - 118
SP - 1
EP - 14
JO - ISA transactions
JF - ISA transactions
ER -