Developments in Model-Based Optimization and Control

Distributed Control and Industrial Applications

Nonfiction, Science & Nature, Technology, Automation, Mathematics, Calculus
Cover of the book Developments in Model-Based Optimization and Control by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319266879
Publisher: Springer International Publishing Publication: December 23, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319266879
Publisher: Springer International Publishing
Publication: December 23, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book School Turnaround Policies and Practices in the US by
Cover of the book History of Cryptography and Cryptanalysis by
Cover of the book Recent Results on Nonlinear Delay Control Systems by
Cover of the book Mapping South American Latina/o Literature in the United States by
Cover of the book Industrial X-Ray Computed Tomography by
Cover of the book Venture Work by
Cover of the book Regional Ecological Challenges for Peace in Africa, the Middle East, Latin America and Asia Pacific by
Cover of the book Detonation Control for Propulsion by
Cover of the book The Semantic Web – ISWC 2018 by
Cover of the book Innovative Simulation Systems by
Cover of the book International Technology Robotics Applications by
Cover of the book Resilient Controls for Ordering Uncertain Prospects by
Cover of the book Numerical Approximation of the Magnetoquasistatic Model with Uncertainties by
Cover of the book Evolutionary and Biologically Inspired Music, Sound, Art and Design by
Cover of the book Family Life, Trauma and Loss in the Twentieth Century by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy