Adaptive Neural Partial State Tracking Control for Full-State-Constrained Uncertain Singularly Perturbed Nonlinear Systems and Its Applications to Electric Circuit

Adaptive Neural Partial State Tracking Control for Full-State-Constrained Uncertain Singularly Perturbed Nonlinear Systems and Its Applications to Electric Circuit

This paper is concerned with the adaptive neural network (NN) partial tracking control problem for a class of completely unknown multi-input multi-output (MIMO) singularly perturbed nonlinear systems possessing time-varying asymmetric state constraints. To satisfy the constraints, we utilize the sta...

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Bibliographic Details
Main Authors: Hao Wang, Xiaomin Liu, Chunyu Yang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Electronics
Subjects:
adaptive control
neural network
state constraints
singularly perturbed nonlinear uncertain systems
Online Access:https://www.mdpi.com/2079-9292/11/8/1209

Internet

https://www.mdpi.com/2079-9292/11/8/1209

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