Title :
Separation conditions and approximation of continuous-time approximately-finite-memory systems
Author :
Sandberg, Irwin W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
We consider causal time-invariant nonlinear input-output maps that take a set of locally pth-power integrable functions into a set of real-valued functions, and we give criteria under which these maps can be uniformly approximated using a certain structure consisting of a not-necessarily linear dynamic part followed by a nonlinear memoryless section that may contain sigmoids or radial basis functions, etc. In our results certain separation conditions, of the kind associated with the Stone-Weierstrass theorem, play a prominent role. Here they emerge as criteria for approximation, and not just sufficient conditions under which an approximation exists. As an application of the results, and for p=2, we show that system maps of the type addressed can be uniformly approximated arbitrarily well by certain doubly-finite Volterra-series approximants if and only if these maps have approximately-finite memory and satisfy certain continuity conditions
Keywords :
Volterra series; continuous time systems; function approximation; memoryless systems; Stone-Weierstrass theorem; Volterra-series; approximately-finite-memory systems; approximation; continuous-time systems; nonlinear input-output maps; separation conditions; sufficient conditions; Control systems; Ear; Feedforward neural networks; Neural networks; Nonlinear control systems; Smoothing methods; Sufficient conditions;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.652467