Title :
Robust control using predictor in polynomial fraction techniques
Author_Institution :
Sophia Univ., Tokyo, Japan
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;
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
DOI :
10.1109/IECON.1993.339418
