Incremental linear controllers network

Author

Ronco, Eric ; Gawthrop, Peter J.

Author_Institution

Centre for Syst. & Control, Glasgow Univ., UK

Volume

1

fYear

1997

fDate

4-6 Jun 1997

Firstpage

336

Abstract

The paper introduces the incremental linear controllers network (ILCN). This algorithm consists of a linear controllers network (LCN) and a progressive control design (PCD) algorithm. The LCN is a network of linear controllers each one being valid for a different operating region of the system. Such a control system can be used for the control of a possibly discontinuous nonlinear system; it is not affected by the “stability-plasticity dilemma” and yet can have a very clear architecture since it is composed of linear controllers. The PCD aims to resolve the clustering problem that faces any such multi-controller method. The PCD enables a very efficient construction of the network as well as an accurate determination of the region of validity of each controller. These features make clear the powerful control potential of the ILCN in the domain of nonlinear autonomous control

Keywords

closed loop systems; control system synthesis; linear systems; model reference adaptive control systems; closed loop systems; incremental linear controllers network; model reference adaptive control; nonlinear autonomous control; progressive control design; spatial clustering; Clustering methods; Control design; Control system synthesis; Control systems; Error correction; Linear systems; Linearity; Positron emission tomography; Sampling methods; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1997. Proceedings of the 1997

Conference_Location

Albuquerque, NM

ISSN

0743-1619

Print_ISBN

0-7803-3832-4

Type

conf

DOI

10.1109/ACC.1997.611813

Filename

611813