In this paper, we design adaptive observers for nonlinear systems in adaptive observer forms. These observers achieve not only asymptotical but also ...

Abstract—In this paper, we design adaptive observers for nonlinear systems in adaptive observer forms. These observers achieve not only asymptotical but ...

In this paper, we design adaptive observers for nonlinear systems in adaptive observer forms. These observers achieve not only asymptotical but also ...

This paper investigates the means to design the observer for a class of nonlinear systems with Lipschitz conditions and unknown parameters.

In this paper, we consider the synthesis of Finite Time Observers for a class of nonlinear systems by solving some LMIs problem. We develop a method to ...

Mar 5, 2020 · In this paper, we investigate the problem of adaptive observer design for a class of non- linear systems subject to unknown parameters and ...

This article focuses on an adaptive neural network (NN) finite-time prescribed performance control problem for nonstrict-feedback nonlinear systems subject ...

A finite-time controller that satisfies the prescribed performance and full-state constraints based on the nonlinear model of the power systems.

Jun 21, 2023 · This paper considers the problem of observer-based adaptive finite-time control for a class of uncertain nonlinear stochastic systems with input saturation, ...

Abstract. This paper proposes an adaptive optimal control strategy of finite-time control for high-order uncertain strict-feedback nonlinear systems.