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Signal Processing, Optimization, and Control

The Signal Processing, Optimization, and Control series covered theoretical and applications-oriented research in the areas of: estimation, detection, and the analysis of stochastic systems; finite wordlength effects in digital filters and controllers; stochastic and deterministic optimal control; multivariable compensator design; homomorphic signal processing; distributed parameter systems and more. The series emphasized the interplay between theory and application as essential for the healthy evolution of the field.

Control and communications engineers, physicists, and probability theorists, among others, will find this book unique. It contains a detailed development of approximation and limit theorems and methods for random processes and applies them to numerous problems of practical importance. In particular, it develops usable and broad conditions and techniques for showing that a sequence of processes converges to a Markov diffusion or jump process.

This book on stability theory and robustness will interest researchers and advanced graduate students in the area of feedback control engineering, circuits, and systems. It will also appeal to mathematicians who are involved in applications of functional analysis to engineering problems.