Adaptive Multi-Dimensional Taylor Network Tracking Control for a Class of Stochastic Nonlinear Systems With Unknown Input Dead-Zone

Adaptive Multi-Dimensional Taylor Network Tracking Control for a Class of Stochastic Nonlinear Systems With Unknown Input Dead-Zone

In this paper, a multi-dimensional Taylor network (MTN) tracking control scheme is proposed for a class of stochastic nonlinear systems with unknown input dead-zone. The MTNs are used to approximate the nonlinearities, and then, an adaptive MTN controller is constructed via a backstepping technique....

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Bibliographic Details
Main Authors: Yuqun Han, Shanliang Zhu, Shuguo Yang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Tracking control
stochastic nonlinear systems
dead-zone
backstepping technique
multi-dimensional Taylor network
Online Access:https://ieeexplore.ieee.org/document/8391389/

Internet

https://ieeexplore.ieee.org/document/8391389/

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