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.