Nonlinear Model Predictive Control

Theory and Algorithms

Nonfiction, Science & Nature, Science, Other Sciences, System Theory, Technology, Automation
Cover of the book Nonlinear Model Predictive Control by Lars Grüne, Jürgen Pannek, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Lars Grüne, Jürgen Pannek ISBN: 9780857295019
Publisher: Springer London Publication: April 11, 2011
Imprint: Springer Language: English
Author: Lars Grüne, Jürgen Pannek
ISBN: 9780857295019
Publisher: Springer London
Publication: April 11, 2011
Imprint: Springer
Language: English

Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.

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

Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.

More books from Springer London

Cover of the book Scar-Less Surgery by Lars Grüne, Jürgen Pannek
Cover of the book Technology and Manufacturing Process Selection by Lars Grüne, Jürgen Pannek
Cover of the book Structural Properties of Porous Materials and Powders Used in Different Fields of Science and Technology by Lars Grüne, Jürgen Pannek
Cover of the book Scientific Data Analysis using Jython Scripting and Java by Lars Grüne, Jürgen Pannek
Cover of the book Trichloroethylene: Toxicity and Health Risks by Lars Grüne, Jürgen Pannek
Cover of the book Bone-Implant Interface in Orthopedic Surgery by Lars Grüne, Jürgen Pannek
Cover of the book Manual of Bone Densitometry Measurements by Lars Grüne, Jürgen Pannek
Cover of the book Principles of Health Interoperability HL7 and SNOMED by Lars Grüne, Jürgen Pannek
Cover of the book Nearly Zero Energy Building Refurbishment by Lars Grüne, Jürgen Pannek
Cover of the book Online Worlds: Convergence of the Real and the Virtual by Lars Grüne, Jürgen Pannek
Cover of the book PID Control in the Third Millennium by Lars Grüne, Jürgen Pannek
Cover of the book Advanced Mechanics in Robotic Systems by Lars Grüne, Jürgen Pannek
Cover of the book General Practitioner Education by Lars Grüne, Jürgen Pannek
Cover of the book Idiopathic Hydronephrosis by Lars Grüne, Jürgen Pannek
Cover of the book Power Electronic Converters Modeling and Control by Lars Grüne, Jürgen Pannek
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