This book 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,
and 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.
General
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