Title
Adaptive dynamic output feedback neural network control of uncertain MIMO nonlinear systems with prescribed performance.
Abstract
An adaptive dynamic output feedback neural network controller for a class of multi-input/multi-output affine in the control uncertain nonlinear systems is designed, capable of guaranteeing prescribed performance bounds on the system's output as well as boundedness of all other closed loop signals. It is proved that simply guaranteeing a boundedness property for the states of a specifically defined augmented closed loop system is necessary and sufficient to solve the problem under consideration. The proposed dynamic controller is of switching type. However, its continuity is guaranteed, thus alleviating any issues related to the existence and uniqueness of solutions. Simulations on a planar two-link articulated manipulator illustrate the approach.
Year
DOI
Venue
2012
10.1109/TNNLS.2011.2178448
IEEE transactions on neural networks and learning systems
Keywords
Field
DocType
output feedback,boundedness property,uncertain systems,adaptive dynamic output feedback neural network control,switching type dynamic controller,neurocontrollers,mimo systems,uncertain mimo nonlinear systems,closed loop system,feedback,adaptive control,nonlinear control systems,closed loop signals,planar two-link articulated manipulator,manipulators,multiinput multioutput affine,neural network adaptive control,closed loop systems,prescribed performance,neural networks,nonlinear systems,switches,mimo
Affine transformation,Uniqueness,Control theory,Mimo nonlinear systems,Nonlinear system,Computer science,Control theory,MIMO,Adaptive control,Artificial neural network
Journal
Volume
Issue
ISSN
23
1
2162-2388
Citations 
PageRank 
References 
40
1.14
13
Authors
2
Name
Order
Citations
PageRank
Artemis K. Kostarigka1452.25
George A. Rovithakis258152.21