During the past decade model predictive control (MPC), also
referred to as receding horizon control or moving horizon control,
has become the preferred control strategy for quite a number of
industrial processes. There have been many significant advances in
this area over the past years, one of the most important ones being
its extension to nonlinear systems. This book gives an up-to-date
assessment of the current state of the art in the new field of
nonlinear model predictive control (NMPC). The main topic areas
that appear to be of central importance for NMPC are covered,
namely receding horizon control theory, modeling for NMPC,
computational aspects of on-line optimization and application
issues. The book consists of selected papers presented at the
International Symposium on Nonlinear Model Predictive Control -
Assessment and Future Directions, which took place from June 3 to
5, 1998, in Ascona, Switzerland.
The book is geared towards researchers and practitioners in the
area of control engineering and control theory. It is also suited
for postgraduate students as the book contains several overview
articles that give a tutorial introduction into the various aspects
of nonlinear model predictive control, including systems theory,
computations, modeling and applications.
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