This paper proposes an adaptive critic tracking control design for a class of nonlinear systems using fuzzy basis function networks (FBFNs).
This paper proposes an adaptive critic tracking control design for a class of nonlinear systems using fuzzy basis function networks (FBFNs).
This paper proposes an adaptive critic tracking control design for a class of nonlinear systems using fuzzy basis function networks (FBFNs).
This paper presents a new adaptive critic controller to achieve precise position-tracking performance of induction motors using a radial basis function neural ...
Abstract. Recently, various adaptive fuzzy control schemes have been proposed to deal with nonlinear systems whose dynamics are poorly understood by using ...
Missing: critic LMI
This paper presents a novel method to address the robust control problem for uncertain systems. The original robust control problem of the uncertain system is ...
A direct fuzzy adaptive control scheme is designed for each SISO subsystem provided the fuzzy model is upper bounded by a known continuous function. All off ...
Robust adaptive critic control of nonlinear systems using fuzzy basis function networks: An LMI approach ... robustness to model uncertainty. Expand. 3 ...
In this section, we present a brief review of the continuous- time nonlinear optimal regulation method with neural network implementation. The basic idea of the ...
fuzzy system is first constructed with as many fuzzy basis functions as input-output pairs, ... Optimal Control Using Single Network Adaptive Critics, IEEE ...