Title :
Bilinear approximation and identification for nonlinear system modeling
Author :
Karray, F. ; Dwyer, T. ; Makrakis, D.
Author_Institution :
Dept. of Electr. Eng., Lakehead Univ., Thunder Bay, Ont., Canada
Abstract :
A bilinear approximation technique for identification of a class of nonlinear dynamical models is presented, It is shown that for bilinear systems with a stable drift term the natural space of input-output models is that of causal Fock functionals. The functional spline interpolators hence obtained are found to have time-varying but asymptotically stable and decoupled bilinear realizations. Motivation is given by the need for systems order reduction and input-output analysis of Carleman bilinearization, with application to the attitude dynamics of a rigid spacecraft
Keywords :
approximation theory; bilinear systems; identification; interpolation; modelling; reduced order systems; Carleman bilinearization; I/O models; attitude dynamics; bilinear approximation; causal Fock functionals; functional spline interpolators; identification; input-output models; nonlinear dynamical models; nonlinear system modeling; rigid spacecraft; stable drift term; systems order reduction; time-varying asymptotically stable decoupled bilinear realizations; Kernel; Lakes; Linear approximation; Nonlinear systems; Reduced order systems; Signal processing; Spline; State-space methods; Statistics; System identification;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.574648