Unifying the most important methodology in this field, Multi-Resolution Methods for Modeling and Control of Dynamical Systems explores existing approximation methods as well as develops new ones for the approximate solution of large-scale dynamical system problems. It brings together a wide set of material from classical orthogonal function

Least Square Methods. Polynomial Approximation. Artificial Neural Networks for Input-Output Approximation. Multi-Resolution Approximation Methods. Global-Local Orthogonal Polynomial MAPping (GLO-MAP) in N Dimensions. Nonlinear System Identification. Distributed Parameter Systems. Control Distribution for over Actuated Systems. Appendix. References. Index.