NDLI: Neuro observer-based control of pure feedback MIMO systems with unknown control direction

Content Provider	IET Digital Library
Author	Ramezani, Zahra Arefi, Mohammad Mehdi Zargarzadeh, Hassan Motlagh, Mohammad Reza Jahed
Abstract	This study focuses on the problem of neural network (NN)-based tracking control for a class of uncertain multiple-input multiple-output non-linear systems in pure feedback form. An observer based on K-filters, is introduced to estimate immeasurable states. In this method, a priori knowledge of the control gain sign is relaxed by using Nussbaum-type technique. NNs are employed to approximate the unknown non-linear functions and an adaptive neural output feedback controller is constructed via backstepping technique. The Lyapunov theorem is applied to prove that the overall closed-loop adaptive control scheme is semi-globally uniformly ultimately bounded. Finally, simulation results are provided to illustrate the design procedure.
Starting Page	213
Ending Page	224
Page Count	12
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 2, Jan (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2016.0991
Journal	IET Control Theory & Applications
Publisher Date	2016-10-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Adaptive Neural Output Feedback Controller Backstepping Technique Closed Loop Adaptive Control Closed Loop System Control Gain Sign Control Nonlinearities Feedback Immeasurable State K-Filter Lyapunov Method Lyapunov Theorem MIMO System Multivariable Control System Neural Network Neuro Observer-based Control Neurocontrol Neurocontrollers NN-based Tracking Control Nonlinear Control System Nonlinear System Nussbaum-type Technique Observers Pure Feedback MIMO System Self Adjusting Control System Stability in Control Theory Uncertain Multiple-input Multiple-output Nonlinear System Uncertain System Unknown Control Direction Unknown Nonlinear Function
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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