NDLI: Observer-based neural control for MIMO pure-feedback non-linear systems with input saturation and disturbances

Content Provider	IET Digital Library
Author	Liu, Wenhui Lu, Junwei Zhang, Zhengqiang Xu, Shengyuan
Abstract	This study considers the adaptive neural backstepping control for multiple-input and multiple-output pure-feedback systems subject to input saturation and disturbances. Neural networks are used to approximate the uncertain non-linear functions without any prior limited conditions. A non-linear disturbance observer and a state observer are constructed to design the output-feedback neural controller. A new coordinate transform is defined to handle the pure-feedback systems in the backstepping procedure. The proposed controller can make sure that all the state trajectories are ultimately bounded in the pure-feedback non-linear systems. An illustrative example is given to show the usefulness of the authors' designed new control method.
Starting Page	2314
Ending Page	2324
Page Count	11
ISSN	17518644
Volume Number	10
e-ISSN	17518652
Issue Number	Issue 17, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/10/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2016.0789
Journal	IET Control Theory & Applications
Publisher Date	2016-08-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Adaptive Neural Backstepping Control Control System Analysis Control System Synthesis Coordinate Transform Feedback Function Approximation Input Disturbances Input Saturation Interpolation And Function Approximation MIMO Pure-feedback Nonlinear System MIMO System Modelling And Identification Multiple-input Multiple-output Pure-feedback System Multivariable Control System Neural Network Neurocontrol Neurocontrollers Nonlinear And Functional Equation Nonlinear Control System Nonlinear Disturbance Observer Nonlinear Function Numerical Analysis Observer-based Neural Control Observers Output-feedback Neural Controller Design Self Adjusting Control System Simulation State Observer State Trajectories Synthesis Method Uncertain Nonlinear Function Approximation
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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