In this article, the problem of event-triggered (ET) adaptive finite-time tracking control is investigated for full-state constrained stochastic nonlinear systems with unknown …
In this paper, we present a new scheme to design an adaptive neural backstepping tracking controller for a class of stochastic nonlinear systems with unknown input constraints …
For switched nonlinear systems with output hysteresis, by working on multi-dimensional Taylor network (MTN), an adaptive control strategy is put forward, which can effectively …
For large-scale switched nonlinear systems subject to asymmetric input saturation and output hysteresis, an adaptive control strategy is put forward by using a novel neural …
This paper investigates the adaptive decentralized control problem for a class of large-scale nonlinear systems with finite-time output constraints. In order to ensure that the …