TY - JOUR
T1 - Adaptive Fuzzy Decentralized Dynamic Surface Control for Switched Large-Scale Nonlinear Systems With Full-State Constraints
AU - Zhang, Jing
AU - Li, Shi
AU - Ahn, Choon Ki
AU - Xiang, Zhengrong
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61873128; in part by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (Ministry of Science and ICT) under Grant NRF-2020R1A2C1005449;
Publisher Copyright:
© 2013 IEEE.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - In this study, an adaptive fuzzy decentralized dynamic surface control (DSC) problem is investigated for switched large-scale nonlinear systems with deferred asymmetric and time-varying full-state constraints. Due to the existence of additional general nonlinearities, complicated output interconnections, and full-state constraints, it is difficult to address the above control problem using existing methods. Fuzzy-logic systems are, therefore, utilized to approximate the unknown nonlinear functions, and the DSC technique is adopted to overcome the 'curse of dimensionality' problem. A novel fuzzy adaptive decentralized controller design is presented using the proposed convex combination technique. Furthermore, it is proven that under the proposed controller and state-dependent switching law, all states of the closed-loop system are bounded and deferred asymmetric, and the time-varying full-state constraints are strictly obeyed. The simulation results are presented to demonstrate the effectiveness of the proposed method.
AB - In this study, an adaptive fuzzy decentralized dynamic surface control (DSC) problem is investigated for switched large-scale nonlinear systems with deferred asymmetric and time-varying full-state constraints. Due to the existence of additional general nonlinearities, complicated output interconnections, and full-state constraints, it is difficult to address the above control problem using existing methods. Fuzzy-logic systems are, therefore, utilized to approximate the unknown nonlinear functions, and the DSC technique is adopted to overcome the 'curse of dimensionality' problem. A novel fuzzy adaptive decentralized controller design is presented using the proposed convex combination technique. Furthermore, it is proven that under the proposed controller and state-dependent switching law, all states of the closed-loop system are bounded and deferred asymmetric, and the time-varying full-state constraints are strictly obeyed. The simulation results are presented to demonstrate the effectiveness of the proposed method.
KW - Adaptive fuzzy control
KW - full-state constraints
KW - large-scale nonlinear systems
KW - state-dependent switching law
KW - switched systems
UR - http://www.scopus.com/inward/record.url?scp=85104573148&partnerID=8YFLogxK
U2 - 10.1109/TCYB.2021.3069461
DO - 10.1109/TCYB.2021.3069461
M3 - Article
C2 - 33877999
AN - SCOPUS:85104573148
SN - 2168-2267
VL - 52
SP - 10761
EP - 10772
JO - IEEE Transactions on Cybernetics
JF - IEEE Transactions on Cybernetics
IS - 10
ER -