03442nam a22004335i 4500 978-0-85729-501-9 DE-He213 20260521092040.0 cr nn 008mamaa 110408s2011 xxk| s |||| 0|eng d 9780857295019 99780857295019 10.1007/978-0-85729-501-9 doi 629.8 23 Grüne, Lars. Nonlinear Model Predictive Control [electronic resource] : Theory and Algorithms / by Lars Grüne, Jürgen Pannek. London : Springer London, 2011. XII, 370p. 64 illus., 9 illus. in color. digital. Communications and Control Engineering, 0178-5354 <P>Introduction -- Discrete-time and Sampled-data Systems -- Nonlinear Model Predictive Control -- Infinite-horizon Optimal Control -- Stability and Suboptimality Using Stabilizing Constraints -- Stability and Suboptimality without Stabilizing Constraints -- Feasibility and Robustness -- Numerical Discretization -- Numerical Optimal Control of Nonlinear Systems -- Examples -- Appendix: Brief Introduction to NMPC Software.</P>. <p>Nonlinear model predictive control (NMPC) is widely used in the process and chemical industries and increasingly for applications, such as those in the automotive industry, which use higher data sampling rates.</p><p><i>Nonlinear Model Predictive Control</i> is a thorough and rigorous introduction to 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 http://www.nmpc-book.com/ ) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.</p><p><i>Nonlinear Model Predictive Control</i> is primarily aimed at academic researchers and practitioners working in control and optimisation but the text is self-contained featuring background material on infinite-horizon optimal control and Lyapunov stability theory which makes the book accessible to graduate students of control engineering and applied mathematics..</p> ENGINEERING. CHEMICAL ENGINEERING. SYSTEMS THEORY. ENGINEERING. CONTROL. SYSTEMS THEORY, CONTROL. INDUSTRIAL CHEMISTRY/CHEMICAL ENGINEERING. AUTOMOTIVE ENGINEERING. Pannek, Jürgen. SpringerLink (Online service) Springer eBooks Printed edition: 9780857295002 Communications and Control Engineering, 0178-5354 http://dx.doi.org/10.1007/978-0-85729-501-9 Ver el texto completo en las instalaciones del CICY ZDB-2-ENG ddc ER 35980 35980 0 0 ddc 0 0 LE CICY CICY EL 2025-10-06 0 629.8 2025-10-06 08:44:44 2025-10-06 ER