Adaptive Fuzzy Decentralized Control for Fractional-Order Nonlinear Large-Scale Systems With Unmodeled Dynamics

• Published in: IEEE access Vol. 9; pp. 142594 - 142604
• Main Authors: Sui, Shuai, Zhan, Yongliang, Jin, Junwei, Chen, C. L. Philip, Tong, Shaocheng
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive algorithms; Adaptive control; adaptive fuzzy decentralized control; Backstepping; Complexity theory; Control algorithms; Control stability; Control theory; Decentralized control; DSC; Explosions; Fractional-order system; Fuzzy control; Fuzzy logic; Fuzzy systems; Large-scale systems; Lyapunov methods; Nonlinear control; Nonlinear dynamics; Nonlinear systems; Stability criteria; Tracking errors; unmodeled dynamics
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2021.3119611

This paper addresses the decentralized control issue for the fractional-order (FO) nonlinear large-scale strict-feedback systems with unmodeled dynamics. The unknown nonlinear functions are identified by fuzzy logic systems (FLSs) and the FO dynamic signals are introduced to dominate the unmodeled dynamics. Additionally, the fractional-order dynamic surface control (FODSC) design technique is introduced into the adaptive backstepping control algorithm to avoid the issue of "explosion of complexity". Then, an adaptive fuzzy decentralized control scheme is developed via the FO Lyapunov stability criterion. It is proved that the controlled FO systems are stable and the tracking errors can converge to a small neighborhood of zero. The simulation example is provided to confirm the validity of the put forward control scheme.