Advanced Model Predictive Control
by Tao Zheng
Publisher: InTech 2011
Number of pages: 418
Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields.
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by Ginalber Luiz de Oliveira Serra (ed.) - InTech
This book brings the state-of-art research results on advanced control from both the theoretical and practical perspectives. The fundamental and advanced research results and technical evolution of control theory are of particular interest.
by Andrew Whitworth - Wikibooks
An inter-disciplinary engineering text that analyzes the effects and interactions of mathematical systems. This book is for third and fourth year undergraduates in an engineering program. It considers both classical and modern control methods.
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This monograph develops further and refines methods based on input -output descriptions for analyzing feedback systems. Contrary to previous work in this area, the treatment heavily emphasizes and exploits the causality of the operators involved.
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This book covers the wide area of Discrete-Time Systems. Their contents are grouped conveniently in sections according to significant areas, namely Filtering, Fixed and Adaptive Control Systems, Stability Problems and Miscellaneous Applications.