In this article, adaptive tracking control for a class of switched stochastic nonlinear systems subject to unknown dead-zone input using multi-dimensional Taylor network (MTN) is …
In this article, the issues of asymmetric input saturation and asymmetric time-varying state constraints are integrated into nonlinear systems for the first time, and a new …
For the large-scale nonlinear systems subject to dynamic uncertainties, an adaptive multi-dimensional Taylor network (MTN)-based decentralized control strategy is proposed, which …
Aiming at switched nonlinear systems subject to input delay and saturation,a novel adaptive control strategy is proposed.Firstly,a compensation system is designed,which solves the …
In this paper,the stochastic nonlinear systems with full state constraints and dead-zone input are considered in the same framework for the first time,and a new adaptive controller …
In this paper, the full state constraints and input delay of stochastic nonlinear systems are studied. A new adaptive control algorithm is proposed using backstepping approach and …
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 …
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 …
This paper investigates an adaptive decentralized predefined performance control problem for a class of large-scale nonlinear systems with nonsymmetric input saturation by using …
In this paper, the adaptive multi-dimensional Taylor network (MTN) control problem is investigated for nonlinear stochastic systems with full state time-ying constraints and the …