Neural-Control

Event‐Triggered Adaptive Asymptotic Tracking Control for Stochastic Non‐Linear Systems With Unknown Hysteresis: A New Switching Threshold Approach

This paper proposes a novel event-triggered adaptive asymptotic tracking control (ATC) method for stochastic non-linear systems with unknown hysteresis. Firstly, in order to reduce …

yang-du

A Novel Network-Based Controller Design for a Class of Stochastic Nonlinear Systems with Multiple Faults and Full State Constraints

In this paper, the control issue of adaptive fault-tolerant is studied for a class of stochastic nonlinear systems with multiple faults and full state constraints, with multiple …

weifeng-zhou

Event-Triggered Adaptive Multi-Dimensional Taylor Network Tracking Control for Stochastic Nonlinear Systems

For a class of stochastic nonlinear systems, this paper proposes a novel event-triggered adaptive control scheme by means of multi-dimensional Taylor network (MTN) approach for the …

yang-du

Adaptive Decentralized Prescribed Performance Control for a Class of Large‐scale Stochastic Nonlinear Systems Subject to Input Saturation and Full State Constraints

This paper focuses on an adaptive decentralized prescribed performance control problem for a class of large-scale stochastic nonlinear systems with asymmetric input saturation and …

na-li

Tracking Control for Switched Nonlinear Systems Subject to Output Hysteresis via Adaptive Multi-Dimensional Taylor Network Approach

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 …

wenjing-he

Controller Design for Nonlinear Systems Subject to Both Input Saturation and Asymmetry Time‐varying State Constraints: A Novel Network‐based Approach

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 …

na-li

Tracking Control for Large‐scale Switched Nonlinear Systems Subject to Asymmetric Input Saturation and Output Hysteresis: A New Adaptive Network‐based Approach

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 …

yuqun-han

Control Design for Stochastic Nonlinear Systems with Full-state Constraints and Input Delay: A New Adaptive Approximation Method

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 …

na-li

Novel Adaptive Controller Design for a Class of Switched Nonlinear Systems Subject to Input Delay Using Multi‐dimensional Taylor Network

For the tracking control problem of a class of switched nonlinear systems with input delay, this article proposes an adaptive tracking control scheme based on multi-dimensional …

wenjing-he

Adaptive Multi-Dimensional Taylor Network Control for Nonlinear Stochastic Systems with Time-Delay

In this article, the problem of adaptive multi-dimensional Taylor network control for strict-feedback nonlinear stochastic systems with time-delay is investigated. To overcome the …

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朱善良