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.
