This paper synthesizes a recursive filtering adaptive neural fault-tolerant controller for
uncertain multivariable nonlinear systems. The proposed control scheme adopts an …

This article presents a novel decentralized filtering adaptive neural network control
framework for uncertain switched interconnected nonlinear systems. Each subsystem has its …

This paper provides a new method to nonlinear control theory, which is developed from the
eigenvalue assignment method. The main purpose of this method is to locate the pointwise …

This article synthesizes a filtering adaptive output feedback controller for multivariable
nonlinear systems with mismatched uncertainties and unmodeled dynamics. The …

This paper presents a novel decentralized filtering adaptive constrained tracking control
framework for uncertain interconnected nonlinear systems. Each subsystem has its own …

By incorporating a disturbance rejection control law with receding horizon optimization
technique, this paper synthesizes a stochastic tracking nonlinear model predictive control …

In this paper, an extended filtered high-gain output feedback controller is developed for a
class of uncertain nonlinear systems subject to external disturbances. The design …

A filtered adaptive constrained sampled‐data controller for uncertain multivariable nonlinear
systems in the presence of various constraints is synthesized in this paper. A piecewise …

This paper synthesises a constrained sampled-data output feedback controller for uncertain
multivariable nonlinear systems in the presence of various constraints, using the filtered …