Neural inverse optimal control for discrete-time uncertain nonlinear systems stabilization

Author

Ornelas-Tellez, Fernando ; Sanchez, Edgar N. ; Garcia-Hernandez, Ramon ; Ruz-Hernandez, Jose A. ; Rullan-Lara, Jose L.

Author_Institution

Univ. Autonoma del Carmen, Campeche, Mexico

fYear

2012

fDate

10-15 June 2012

Firstpage

1

Lastpage

6

Abstract

This paper discusses neural inverse optimal control to achieve stabilization for discrete-time uncertain nonlinear systems, and minimizing a meaningful cost functional. A neural identifier scheme is used to model the uncertain nonlinear system, and based on this neural model and the knowledge of a control Lyapunov function, then the inverse optimal controller is synthesized in order to achieve exponential stability. An example illustrates the applicability of the proposed control technique.

Keywords

Lyapunov methods; asymptotic stability; control system synthesis; discrete time systems; neurocontrollers; nonlinear control systems; optimal control; uncertain systems; Lyapunov function; cost functional; discrete time uncertain nonlinear system stabilization; exponential stability; inverse optimal controller synthesis; neural identifier scheme; neural inverse optimal control; neural model; Equations; Lyapunov methods; Mathematical model; Nonlinear systems; Optimal control; Stability analysis; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks (IJCNN), The 2012 International Joint Conference on

Conference_Location

Brisbane, QLD

ISSN

2161-4393

Print_ISBN

978-1-4673-1488-6

Electronic_ISBN

2161-4393

Type

conf

DOI

10.1109/IJCNN.2012.6252631

Filename

6252631