By using fuzzy T-S model and fuzzy logic systems, we propose a novel robust tracking con- trol scheme for a class of uncertain nonlinear time-delay system.. Fuzzy T-S model is used

Based on (T–S) fuzzy model, fuzzy robust state feedback output tracking controller andfuzzy robust observer-basedoutput tracking controller are proposed.. Sufficient conditions

Su, “Robust Static Output- Feedback Stabilization for Nonlinear Discrete-Time Sys- tems with Time Delay via Fuzzy Control Approach,” Fuzzy Sets and Systems , Vol. Lam, “A New

In this paper, we proposed a new adaptive fuzzy control approach for uncertain nonlinear active suspension systems subject to input time delay and unknown nonlinear dynamics..

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

Both the robust stability anal- ysis and non-fragile robust control for a class of uncertain stochastic nonlinear time-delay systems that satisfy a one-sided Lipschitz condition

[7] Jiang X and Han QL, ”Robust H ∞ control for uncertain Takagi-Sugeno fuzzy systems with interval time-varying delay,” IEEE Transactions on Fuzzy Systems, vol..

The problem of robust output feedback control for uncertain discrete T–S fuzzy systems with time-varying norm-bounded parameter uncertainties and time delays has been studied.

This paper proposes an adaptive fuzzy distributed consensus tracking control scheme for a class of uncertain nonlinear dynamic multiagent systems (MASs) with state time-varying

In this paper, adaptive interval type-2 fuzzy proportional integral (PI) control scheme to attenuate fast and large disturbance for a class of uncertain nonlinear time

A contribution of this paper is in extending sliding mode output tracking control in causal nonlinear uncertain systems with output time delay modeled by the first order

The stabilization and H ∞ control problems for stochastic T–S fuzzy systems have been investigated in [ 24 , 25 ] on the basis of the LMI approach developed in state feedback

Changchun Hua, Xinping Guan, and Peng Shi, (2007) “Robust output feedback tracking control for time-delay nonlinear systems using neural network,” IEEE Trans.

Using outputs of the disturbance observer and the fuzzy logical system, the disturbance-observer- based adaptive fuzzy tracking control has been proposed for the uncertain

In [12], a robust guaranteed cost control scheme for uncertain linear time-delay systems was proposed using dynamic output feedback.. In practical, except modeling error and

An observer-based robust adaptive fuzzy control approach has been proposed in this paper for a class of uncertain underactuated systems in the presence of time delay and

Wang, Robust stabilization of a class of uncertain nonlinear systems via fuzzy control: quadratic stabilizability, H 1 control theory, and linear matrix inequalities, IEEE Trans.

When compared with the existing studies in the literature, the key contribution of the proposed work is the development of the first–ever controller that addressed robust control