Nonlinear Model Predictive Control

Author: Lars Grüne
Edition: 2011
Binding: Hardcover
ISBN: 0857295004

Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)

Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. Download Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering) from rapidshare, mediafire, 4shared. 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 Search and find a lot of engineering books in many category availabe for free download.

Nonlinear Model Predictive Control Free

Download Nonlinear Model Predictive Control engineering books for free. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine - the core of any NMPC controller

Other engineering books

Model Predictive Control (Advanced Textbooks in Control and Signal Processing)

The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control research

Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications (Advances in Industrial Control)

Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems - the first book to do so. The design of model predictive control systems using Lyapunov-b

Optimal Control Theory: An Introduction (Dover Books on Electrical Engineering)

Geared toward upper-level undergraduates, this text introduces three aspects of optimal control theory: dynamic programming, Pontryagin's minimum principle, and numerical techniques for trajectory optimization. Numerous problems, which introduce addi