Then, we describe the sufficient and necessary reaching conditions of sliding mode control for discrete nonlinear systems in the first part of the third section ten, a fuzzy

Based on sliding mode control technique, an adaptive fuzzy sliding mode controller is designed for switched uncertain nonlinear systems by using fuzzy logic systems to approximate

A robust and simple optimal type II fuzzy sliding mode control strategy for a class of nonlinear chaotic systems.. Journal of Intelligent &

This paper presents a robust sliding mode controller for a class of unknown nonlinear discrete- time systems in the presence of fixed time delay.. A neural-network approximation

Da, Decentralized sliding mode adaptive controller design based on fuzzy neural networks for interconnected uncertain nonlinear systems, IEEE Trans. Morris, Fuzzy neural networks

Motivated by the above discussion, it is meaningful to design fuzzy variable structure con- troller in this paper such that the closed-loop system is asymptotically stable without

Liu, “Robust adaptive tracking control for nonlinear systems based on bounds of fuzzy approximation parameters,” IEEE Transactions on Systems, Man, and Cybernetics A, vol.. Wang,

Aghababa, “Robust stabilization and synchronization of a class of fractional-order chaotic systems via a novel fractional sliding mode controller,” Communications in Nonlinear

In order to improve the performance of single-input single-output (SISO) nonlinear systems with uncertainties, an adaptive fuzzy sliding mode controller (AFSMC) that

From the simulation results have shown that hierarchical robust fuzzy sliding mode controller in both systems pendubot and cart double inverted pendulum has completely

[17] designed a nonchattering sliding mode control is combined with a single-input-single-output fuzzy logic controller and applied to active suspension systems for a

A fuzzy sliding-mode controller for half car model is introduced to remove chattering effect in active suspension where sliding mode controller combined with fuzzy

Design of Adaptive Sliding Mode Control with Fuzzy Controller and PID Tuning for Uncertain Systems.. G.Sivaramakrishna 1

Further, an emotional fuzzy sliding-mode control (EFSMC) system, which does not need the plant model, is proposed for unknown nonlinear systems.. The EFSMC system is applied to

To solve the problem of DSMC an indirect fuzzy system is employed to identify the unknown nonlinear function of the plant model and then a robust adaptive law is

Mode-independent robust stabilization for uncertain Markovian jump nonlinear systems via fuzzy control. De

An optimal and intelligent control strategy for a class of nonlinear systems: adaptive fuzzy sliding mode. Sliding mode control design and MATLAB simulation the basic theory and

Abstract—In this paper a novel adaptive sliding mode controller design is presented for robust control of nonlinear uncertain systemsI. A continuous control law