Decentralized adaptive internal model control for multi-input multi-output systems Conference Paper

abstract

• A continuous-time decentralized adaptive internal model controller is proposed for the control of an NN multi-input multi-output (MIMO) system with unknown parameters. By treating the MIMO system as an interconnection of N single-input single-output linear subsystems with `weak' interactions, robust adaptive internal model controllers are designed for each isolated subsystem. Each local adaptive control law utilizes a normalizing signal which is generated using the local output and the inputs of all the subsystems. This necessitates the exchange of input signals between the different subsystems so that the scheme is no longer totally decentralized. This, however, does not pose any problem in industrial process control applications, where all the signals are anyway brought to or originate from a central control room. An additional feature which makes the scheme very attractive is the fact that its computational complexity is about the same as that of a totally decentralized one.

name of conference

• Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251)

authors

• Datta, Aniruddha

published proceedings

• Proceedings of the 2010 American Control Conference

author list (cited authors)

• Xing, L., & Datta, A.

citation count

• 3

complete list of authors

• Xing, Lei||Datta, A

publication date

• January 1999

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... American Control Conference. American Control Conference  Journal

Digital Object Identifier (DOI)

• 10.1109/acc.1999.782736

start page

• 39-46 vol.1

end page

• 46

volume

• 1

URL

• http://dx.doi.org/10.1109/acc.1999.782736