Identification and Control Using Volterra Models

This text covers recent results in the analysis, identification and control of systems described by Volterra models. Topics covered include: - qualitative behavior of finite Volterra models compared and contrasted with other nonlinear model classes - structural restrictions and extensions to Volterra model class - least squares and stochastic identification approaches - model inversion issues - direct synthesis and model predictive control design - guidelines for practical applications Examples are drawn from Chemical, Biological and Electrical Engineering. The book is suitable as a text for a graduate control course, or as a reference for both research and practice.