Fuzzy Adaptive Decentralized Control for Nonstrict-Feedback Large-Scale Switched Fractional-Order Nonlinear Systems
Wenshan Bi, Tong Wang, Xinghu Yu
Abstract
This article investigates the adaptive fuzzy control algorithm for a class of large-scale switched fractional-order nonlinear nonstrict feedback systems. In this algorithm, we utilize fuzzy-logic systems (FLSs) to approximate the complicated unknown nonlinear functions. Based on the fractional Lyapunov stability rules, a virtual control law is presented. A fuzzy adaptive decentralized control method is developed under the technique of the Lyapunov function. Under the operation of the proposed algorithm, the stability of the proposed systems and the control performance can be guaranteed. Finally, simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.
Topics & Concepts
Control theory (sociology)Fuzzy logicNonlinear systemFuzzy control systemLyapunov functionStability (learning theory)Lyapunov stabilityComputer scienceMathematicsAdaptive controlMathematical optimizationControl (management)Artificial intelligenceMachine learningQuantum mechanicsPhysicsAdvanced Control Systems DesignAdaptive Control of Nonlinear SystemsFuzzy Logic and Control Systems