Model reference adaptive control of linear time-varying plants

Duarte-Mermoud M.A.; Estrada J.L.; Travieso-Torres J.C.

Keywords: model, systems, stability, models, state, algebra, matrix, convergence, time, vectors, numerical, stabilization, control, vector, methods, asymptotic, mathematical, adaptive, reference, of, Linear, varying, time-varying

Abstract

This paper addresses the problem of model reference adaptive control of continuous-time and time-varying linear of the form ẋ(t) = Θ(t)x(t) + Bu(t), when the state is accessible and with an input vector of the same dimension as the vector state. The proposed control scheme guarantees that the state of the plant, with bounded time-varying parameters, asymptotically converges to the state of the model reference. For the general case when there are 2n2 unknown parameters (n2 time-varying and n2 constant), a controller adjusting n2+1 parameters (when the control matrix B is unknown) guarantees local stability results, whereas in the case when the control matrix B is known, only one parameter has to be adjusted in the controller and the proposed scheme provides global stability results.

Más información

Título según SCOPUS: Model reference adaptive control of linear time-varying plants
Título de la Revista: WSEAS Transactions on Circuits and Systems
Volumen: 5
Número: 4
Editorial: World Scientific and Engineering Academy and Society
Fecha de publicación: 2006
Página de inicio: 457
Página final: 464
Idioma: eng
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-33744524386&partnerID=q2rCbXpz
Notas: SCOPUS