Title :
Discrete-time nonlinear systems modeling
Author :
DeGroat, R. ; Hunt, L. ; Linebarger, D.
Author_Institution :
Center for Eng. Math., Texas Univ., Dallas, Richardson, TX, USA
Abstract :
Systems theory and some canonical representations are introduced for a class of nonlinear systems. Techniques are devised to identify, synthesize, and model such systems and their signals. Nonlinear systems theory is introduced at a fundamental level. To identify a system from input and output (or just output) data, parameters are estimated for a canonical state-space or difference-equation representation, depending on which representation is most convenient for further analysis
Keywords :
difference equations; discrete time systems; modelling; nonlinear systems; parameter estimation; signal processing; state-space methods; canonical representations; canonical state-space; difference-equation representation; discrete-time systems; modeling; nonlinear systems; parameter estimation; signal processing; systems theory; Feedback loop; Feedforward systems; Kernel; Linear systems; Mathematical model; Mathematics; Nonlinear systems; Parameter estimation; Signal analysis; Signal processing; Signal synthesis; State estimation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116140
