Robust Adaptive Control via Neural Linearization and Compensation. (8th April 2012)

• Record Type: Journal Article
• Authors: Rodríguez, Roberto Carmona; Yu, Wen
• Other Names: Chairez Isaac Academic Editor.
• Is Part Of: Journal of control science and engineering. Volume 2012(2012)
• Publication Date: 2012-04-08
• Subjects: Control theory -- Periodicals; 629.831205
• DOI: 10.1155/2012/867178
• Languages: English
• ISSNs: 1687-5249

Abstract

Abstract : We propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifier-based feedback linearization controller is first used. Dead-zone and projection techniques are applied to assure the stability of neural identification. Then four types of compensator are addressed. The stability of closed-loop system is also proven.