Coordinated decentralized adaptive output feedback control of interconnected systems

Naira Hovakimyan; Eugene Lavretsky; Bong-Jun Yang; Anthony J Calise

doi:10.1109/TNN.2004.836198

Coordinated decentralized adaptive output feedback control of interconnected systems

IEEE Trans Neural Netw. 2005 Jan;16(1):185-94. doi: 10.1109/TNN.2004.836198.

Authors

Naira Hovakimyan¹, Eugene Lavretsky, Bong-Jun Yang, Anthony J Calise

Affiliation

¹ Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. nhovakim@vt.edu

PMID: 15732398
DOI: 10.1109/TNN.2004.836198

Abstract

A decentralized adaptive output feedback control design is proposed for large-scale interconnected systems. It is assumed that all the controllers share prior information about the system reference models. Based on that information, a linearly parameterized neural network is introduced for each subsystem to partially cancel the effect of the interconnections on tracking performance. Boundedness of error signals is shown through Lyapunov's direct method.

Publication types

Comparative Study
Evaluation Study
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms*
Artificial Intelligence*
Computer Simulation
Computing Methodologies*
Feedback*
Information Storage and Retrieval / methods
Models, Statistical*
Models, Theoretical*
Numerical Analysis, Computer-Assisted*
Signal Processing, Computer-Assisted