Editors:
- Assesses the current status of the NMPC field
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 384)
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Table of contents (46 chapters)
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Front Matter
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Stability and Robusteness
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Control of Complex Systems
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Stochastic Systems
About this book
Over the past few years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. More than 250 papers have been published in 2006 in ISI Journals. With this book we want to bring together the contributions of a diverse group of internationally well recognized researchers and industrial practitioners, to critically assess the current status of the NMPC field and to discuss future directions and needs. The book consists of selected papers presented at the International Workshop on Assessment an Future Directions of Nonlinear Model Predictive Control that took place from September 5 to 9, 2008, in Pavia, Italy.
Editors and Affiliations
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Dipartimento di Informatica e Sistemistica, Universita’ di Pavia, Italy
Lalo Magni
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Automatic Control Laboratory, ETH Zurich , Zürich, Switzerland
Davide Martino Raimondo
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Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany
Frank Allgöwer
Bibliographic Information
Book Title: Nonlinear Model Predictive Control
Book Subtitle: Towards New Challenging Applications
Editors: Lalo Magni, Davide Martino Raimondo, Frank Allgöwer
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-3-642-01094-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Softcover ISBN: 978-3-642-01093-4Published: 25 May 2009
eBook ISBN: 978-3-642-01094-1Published: 18 May 2009
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XII, 576
Number of Illustrations: 116 b/w illustrations
Topics: Control and Systems Theory, Control, Robotics, Mechatronics, Systems Theory, Control