The finite-time control issue is discussed for nonlinear systems with full-state-function
constraints, unknown control gain (UCG) and external disturbances in this paper. In order to …

In this paper, the semiglobal practical finite-time stable (SGPFTS) problem for a class of
nonlinear nonstrict feedback systems is investigated by adaptive neural networks (NNs) …

This paper discusses an adaptive dynamic surface control method for uncertain strict
feedback nonlinear systems with input saturation and external disturbance. The radial basis …

In this paper, we look at a type of strict-feedback nonlinear systems that have neural
adaptive finite-time command filtered control and full-state constraints. To begin with …

The paper describes a novel, simple servo drive position controller, using only knowledge
about the structure of the nonlinear model and the constraints met by individual components …

This study investigates the neuroadaptive tracking control problem for a class of strict-
feedback nonlinear systems with spatiotemporal constraints. An adaptive neural network …

This paper is concerned with establishing an adaptive fixed-time control strategy for nonstrict-
feedback nonlinear systems with event-triggered mechanism, which makes sure that the …

This paper proposes a gradient descent (GD) algorithm-based B-Spline wavelet neural
network (GDBSWNN) learning adaptive controller for linear motor (LM) systems under …