Robust control using predictor in polynomial fraction techniques

Author

Ichikawa, K.

Author_Institution

Sophia Univ., Tokyo, Japan

fYear

1993

fDate

15-19 Nov 1993

Firstpage

2201

Abstract

Exact model matching (EMM) in polynomial fraction techniques, which was originated by Wolovich and developed further by the author, is a very powerful design method for tracking systems. EMM system, which includes a newly developed predictor, suppresses the effect of unknown disturbance. Moreover, the predictor is very effective to suppress the more general perturbation such as unknown changing parameters, unknown parasitics, ignored higher order dynamics and/or unknown nonlinearity

Keywords

closed loop systems; control system synthesis; discrete time systems; linear systems; polynomials; predictive control; tracking; tracking systems; discrete time system; exact model matching; higher order dynamics; linear SISO systems; nonlinearity; perturbation; polynomial fraction; predictor; robust control; tracking systems; Closed loop systems; Control systems; Design methodology; Equations; Nonlinear dynamical systems; Polynomials; Power system modeling; Robust control; Steady-state; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on

Conference_Location

Maui, HI

Print_ISBN

0-7803-0891-3

Type

conf

DOI

10.1109/IECON.1993.339418

Filename

339418

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2227495