Open AccessRobust Adaptive Fuzzy Control of Nonlinear Systems
Author(s) -
N. Zerroug,
Khalissa Behih,
Z. Bouchama,
Khaled Zehar
Publication year - 2022
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.4781
Subject(s) - control theory (sociology) , adaptive control , fuzzy control system , robustness (evolution) , fuzzy logic , nonlinear system , adaptive neuro fuzzy inference system , mathematics , lyapunov function , lyapunov stability , attractor , computer science , control (management) , artificial intelligence , mathematical analysis , biochemistry , chemistry , physics , quantum mechanics , gene
In this paper, an adaptive Fuzzy Fast Terminal Synergetic Controller (FFSC) for a certain class of SISO unknown nonlinear dynamic systems is proposed, that uses the concept of terminal attractor design, adaptive fuzzy synergetic control scheme, and Lyapunov synthesis approach. In contrast to the existing adaptive fuzzy synergetic control design, where the fuzzy systems are used to approximate the unknown system functions while the synergetic control guarantees robustness and achieves the asymptotic stability of the closed-loop system, in our technique both the continuous synergetic control law and the fuzzy approximator are derived to ensure finite-time convergence. Lyapunov conditions for finite-time stability and accuracy proofs in mathematics are presented to prove that the proposed adaptive scheme can achieve finite-time stable tracking of reference input and guarantee of the bonded system signals. Simulation results illustrate the design procedures and demonstrate the performance of the proposed controller.