Piezo-actuated stages have become more and more promising in nanopositioning
applications due to the excellent advantages of the fast response time, large mechanical …

The issue of neural adaptive self-triggered tracking control for uncertain nonlinear systems
with input hysteresis is considered. Combining radial basis function neural networks …

In this paper, we address an adaptive control problem for a class of nonlinear strict-feedback
systems with uncertain parameter. The full states of the systems are constrained in the …

In this technical note, the problem of adaptive tracking control is investigated for a class of
stochastic uncertain nonlinear systems in the presence of input saturation. To analyze the …

This article investigates the event-triggered containment control problem for stochastic
nonlinear multiagent systems with unknown Bouc–Wen hysteresis input. Based on the …

Focusing on the piezoelectric positioning stage, this paper proposes an adaptive estimated
inverse output-feedback quantized control scheme. First, the quantized issue due to the of …

This technical note is concerned with the problem of adaptive tracking control for a class of
nonlinear systems with parametric uncertainty, unknown actuator nonlinearity and bounded …

This article is concerned with an issue of fixed time adaptive neural control for a class of
uncertain nonlinear systems subject to hysteresis input and immeasurable states. The state …

Existing Nussbaum function based results on consensus of multi-agent systems require that
the unknown control directions of all the agents should be the same. This note proposes an …

For robot manipulators subject to unmeasurable/uncertain plant parameters, this article
designs a new adaptive motion controller, which ensures positioning errors to converge to …