Title :
An algorithm for continuous-time state space identification
Author :
Johansson, Rolf ; Lindstedt, Gunnar
Author_Institution :
Dept. of Autom. Control, Lund Inst. of Technol., Sweden
Abstract :
We have developed a system identification algorithm to fit continuous-time state-space models to data. The methodology includes a continuous-time operator translation, permitting an algebraic reformulation and the use of subspace and realization algorithms. The new approach has proved effective in identification and modeling of ultrasonic echo applications
Keywords :
Hankel matrices; Markov processes; continuous time systems; echo; eigenvalues and eigenfunctions; identification; state-space methods; ultrasonic reflection; Hankel matrix; Markov processes; continuous-time systems; eigensystems; modeling; state-space models; subspace algorithm; system identification; transfer functions; ultrasonic echo; Differential equations; Kalman filters; Linear regression; Matrix decomposition; Nonlinear filters; Polynomials; Singular value decomposition; State-space methods; System identification; Transfer functions;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.479063
