Neural Network

New Design to Adaptive Neural Asymptotic Tracking Control for a Class of Uncertain Stochastic Nonlinear Systems With Unknown Input Constraints featured image

New Design to Adaptive Neural Asymptotic Tracking Control for a Class of Uncertain Stochastic Nonlinear Systems With Unknown Input Constraints

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 …

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朱善良
Adaptive Decentralized Tracking Control of a Class of Large-Scale Nonlinear Systems with Unknown Dead-Zone Inputs Using Neural Network featured image

Adaptive Decentralized Tracking Control of a Class of Large-Scale Nonlinear Systems with Unknown Dead-Zone Inputs Using Neural Network

In this paper, an adaptive decentralized control approach is proposed for a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network. Firstly, the …

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韩玉群
Adaptive Neural Output Feedback Tracking Control for a Class of Nonlinear Systems featured image

Adaptive Neural Output Feedback Tracking Control for a Class of Nonlinear Systems

In this paper, an adaptive neural output feedback control scheme based on backstepping technique and dynamic surface control (DSC) approach is developed to solve the tracking …

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韩玉群
Adaptive Neural Output Feedback Tracking Control for a Class of Nonlinear Systems featured image

Adaptive Neural Output Feedback Tracking Control for a Class of Nonlinear Systems

In this paper, an adaptive neural output feedback control scheme based on backstepping technique and dynamic surface control (DSC) approach is developed to solve the tracking …

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韩玉群