Title :
A pole dominance approach for adaptive control and dynamic model reduction of large scale systems
Author :
Gálvez, José Maria
Author_Institution :
Dept. of Electron. Eng, Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil
Abstract :
This paper presents a dynamic model reduction (DMR) technique based on the concept of pole dominance applied to direct model reference adaptive control (DMRAC). The stability analysis is performed through Lyapunov´s theory and does not require the plant to be strictly positive real (SPR). It is shown how asymptotic stability can be obtained through the implementation of the DMR scheme together with residual mode filters (RMF). Simulation results are carry out to illustrate the regulation and tracking outstanding performances of the proposed scheme
Keywords :
Lyapunov methods; asymptotic stability; large-scale systems; model reference adaptive control systems; pole assignment; reduced order systems; Lyapunov theory; asymptotic stability; direct model reference adaptive control; dynamic model reduction; large scale system; pole dominance; regulation; residual mode filters; simulation; tracking; Adaptive control; Asymptotic stability; Control design; Filters; Large-scale systems; Read only memory; Reduced order systems; Stability analysis; State estimation; State feedback;
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
DOI :
10.1109/MWSCAS.1995.510170
