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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.

Identification and Control Using Volterra Models

1. Introduction.- 2. Qualitative Behavior.- 3. Restrietions & Extensions.- 4. Determination of Volterra Model Parameters.- 5. Practical Considerations in Volterra Model Identification.- 6. Model-Based Controller Synthesis.- 7. Advanced Direct Synthesis Controller Design.- 8. Model Predictive Control Using Volterra Series.- 9. Application Case Studies.- 10. Summary.