TY - JOUR
T1 - Passivity-based adaptive fault-tolerant control for continuous-time Markov jump PWA systems with actuator faults
AU - Xu, Nuo
AU - Zhu, Yanzheng
AU - Chen, Xinkai
AU - Su, Chun Yi
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant U1813201, Grant 61973131, Grant 61733009, and Grant 61733006, in part by the Fujian Outstanding Youth Science Fund under Grant 2020J06022, in part by the Japan Society for the Promotion of Science under Grant 21K04129, and in part by the Scientific Research Funds of Huaqiao University under Grant 605‐50Y19010.
Funding Information:
National Natural Science Foundation of China, U1813201; 61973131; 61733006; 61733006; Fujian Outstanding Youth Science Fund, 2020J06022; Japan Society for the Promotion of Science, 21K04129; Scientific Research Funds of Huaqiao University, 605‐50Y19010 Funding information
Publisher Copyright:
© 2021 John Wiley & Sons Ltd.
PY - 2022/3/10
Y1 - 2022/3/10
N2 - In this article, the issue of passivity-based adaptive fault-tolerant piecewise linear (FT-PWL) control is investigated for a class of continuous-time Markov jump nonlinear systems with actuator faults. The nonlinear space is divided into a series of subspaces and approximated by piecewise-affine (PWA) regions, such that the corresponding systems are transformed into a class of continuous-time Markov jump PWA systems. First, the switching paths between different PWA subsystems or different PWA regions within certain subsystem are optimized via a new optimal region switching paths (ORSPs) algorithm. This algorithm optimizes the loop way of searching the switching path and also reduces the number of redundant loops. Second, based on the proposed ORSPs algorithm, a novel adaptive FT-PWL controller is designed to ensure the stochastic stability and passivity of the corresponding closed-loop system. The unknown variations of actuator fault parameters are compensated via an adaptive FT mechanism. Finally, one numerical example is illustrated to show the validity and effectiveness of both developed ORSPs algorithm and proposed adaptive FT-PWL control mechanism.
AB - In this article, the issue of passivity-based adaptive fault-tolerant piecewise linear (FT-PWL) control is investigated for a class of continuous-time Markov jump nonlinear systems with actuator faults. The nonlinear space is divided into a series of subspaces and approximated by piecewise-affine (PWA) regions, such that the corresponding systems are transformed into a class of continuous-time Markov jump PWA systems. First, the switching paths between different PWA subsystems or different PWA regions within certain subsystem are optimized via a new optimal region switching paths (ORSPs) algorithm. This algorithm optimizes the loop way of searching the switching path and also reduces the number of redundant loops. Second, based on the proposed ORSPs algorithm, a novel adaptive FT-PWL controller is designed to ensure the stochastic stability and passivity of the corresponding closed-loop system. The unknown variations of actuator fault parameters are compensated via an adaptive FT mechanism. Finally, one numerical example is illustrated to show the validity and effectiveness of both developed ORSPs algorithm and proposed adaptive FT-PWL control mechanism.
KW - Markov jump nonlinear systems
KW - adaptive fault-tolerant control
KW - optimal region switching paths
KW - passivity analysis
KW - piecewise-affine technology
UR - http://www.scopus.com/inward/record.url?scp=85121507251&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85121507251&partnerID=8YFLogxK
U2 - 10.1002/rnc.5947
DO - 10.1002/rnc.5947
M3 - Article
AN - SCOPUS:85121507251
SN - 1049-8923
VL - 32
SP - 2300
EP - 2312
JO - International Journal of Robust and Nonlinear Control
JF - International Journal of Robust and Nonlinear Control
IS - 4
ER -