TY - JOUR
T1 - A Cyclic-Small-Gain-Based Adaptive Fuzzy Control of Interconnected Systems
AU - Li, Yuan Xin
AU - Xu, Bo
AU - Ahn, Choon Ki
N1 - Funding Information:
This work was supported in part by the Funds of National Science of China under Grant 61973146, in part by the Distinguished Young Scientific Research Talents Plan in Liaoning Province under Grant XLYC1907077 and under Grant tsqn201909097, in part by the Natural Science Foundation of Shandong Province under Grant ZR2020KF034, and 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:
© 2007-2012 IEEE.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - This article investigates a novel adaptive fuzzy decentralized output-feedback control method for a class of uncertain large-scale interconnected nonlinear systems with unknown dynamics and immeasurable states. By employing fuzzy logic systems, the unknown nonlinear dynamics are estimated. Moreover, the immeasurable states are approximated by constructing a fuzzy decentralized state observer. Based on the Lyapunov stability theory and decentralized backstepping technique, the Lyapunov functions are constructed in a recursive way for each subsystem. In the last step of our process, an overall Lyapunov function is proposed to realize the control objective. Differing from other works, the interconnection influence of the large-scale system is compensated with a more relaxed assumption by introducing the cyclic-small-gain condition. Under the proposed control method, the closed-loop system is capable of being semiglobally uniformly ultimately bounded. Furthermore, the observer and stabilizing errors are able to be bounded by an arbitrarily small residual set around the origin. Finally, a simulation with comparison is provided to illustrate the viability of the presented control scheme.
AB - This article investigates a novel adaptive fuzzy decentralized output-feedback control method for a class of uncertain large-scale interconnected nonlinear systems with unknown dynamics and immeasurable states. By employing fuzzy logic systems, the unknown nonlinear dynamics are estimated. Moreover, the immeasurable states are approximated by constructing a fuzzy decentralized state observer. Based on the Lyapunov stability theory and decentralized backstepping technique, the Lyapunov functions are constructed in a recursive way for each subsystem. In the last step of our process, an overall Lyapunov function is proposed to realize the control objective. Differing from other works, the interconnection influence of the large-scale system is compensated with a more relaxed assumption by introducing the cyclic-small-gain condition. Under the proposed control method, the closed-loop system is capable of being semiglobally uniformly ultimately bounded. Furthermore, the observer and stabilizing errors are able to be bounded by an arbitrarily small residual set around the origin. Finally, a simulation with comparison is provided to illustrate the viability of the presented control scheme.
KW - Decentralized control
KW - fuzzy logic systems (FLSs)
KW - nonlinear large-scale systems
KW - output-feedback control
KW - state observer
UR - http://www.scopus.com/inward/record.url?scp=85125311406&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2022.3148416
DO - 10.1109/JSYST.2022.3148416
M3 - Article
AN - SCOPUS:85125311406
SN - 1932-8184
VL - 16
SP - 6468
EP - 6479
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 4
ER -