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Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
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Developments in Model-Based Optimization and Control - Distributed Control and Industrial Applications (Paperback, 1st ed. 2015)
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Developments in Model-Based Optimization and Control - Distributed Control and Industrial Applications (Paperback, 1st ed. 2015)
Series: Lecture Notes in Control and Information Sciences, 464
Expected to ship within 10 - 15 working days
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This book deals with optimization methods as tools for decision
making and control in the presence of model uncertainty. It is
oriented to the use of these tools in engineering, specifically in
automatic control design with all its components: analysis of
dynamical systems, identification problems, and feedback control
design. Developments in Model-Based Optimization and Control takes
advantage of optimization-based formulations for such classical
feedback design objectives as stability, performance and
feasibility, afforded by the established body of results and
methodologies constituting optimal control theory. It makes
particular use of the popular formulation known as predictive
control or receding-horizon optimization. The individual
contributions in this volume are wide-ranging in subject matter but
coordinated within a five-part structure covering material on: *
complexity and structure in model predictive control (MPC); *
collaborative MPC; * distributed MPC; * optimization-based analysis
and design; and * applications to bioprocesses, multivehicle
systems or energy management. The various contributions cover a
subject spectrum including inverse optimality and more modern
decentralized and cooperative formulations of receding-horizon
optimal control. Readers will find fourteen chapters dedicated to
optimization-based tools for robustness analysis, and
decision-making in relation to feedback mechanisms-fault detection,
for example-and three chapters putting forward applications where
the model-based optimization brings a novel perspective.
Developments in Model-Based Optimization and Control is a selection
of contributions expanded and updated from the Optimisation-based
Control and Estimation workshops held in November 2013 and November
2014. It forms a useful resource for academic researchers and
graduate students interested in the state of the art in predictive
control. Control engineers working in model-based optimization and
control, particularly in its bioprocess applications will also find
this collection instructive.
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