Multi-Resolution Methods for Modeling and Control of Dynamical Systems discusses the underlying principles of input/output data approximation and issues associated with modeling large-scale dynamical systems. A number of techniques are applied that cover classical finite element methods, adaptive control, and neural networks to solve various problems in engineering disciplines. The book presents these diverse topics in an integrated manner derived from dynamical systems, estimation, optimization, and approximation theory. It also provides MATLABR code throughout.