๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Advanced Model Predictive Control

โœ Scribed by T. Zheng


Publisher
Intech
Year
2011
Tongue
English
Leaves
430
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Table of Contents


Preface_Advanced Model Predictive Control......Page 1
Part
1......Page 13
01_Fast Model Predictive Control and its Application to Energy Management of Hybrid Electric Vehicles......Page 15
02_Fast Nonlinear Model Predictive Control using Second Order Volterra Models Based Multi-agent Approach......Page 41
03_Improved Nonlinear Model Predictive Control
Based on Genetic Algorithm......Page 61
04_Distributed Model Predictive Control
Based on Dynamic Games......Page 77
05_Efficient Nonlinear Model Predictive
Control for Affine System......Page 103
06_Implementation of Multi-dimensional Model Predictive Control for Critical Process with Stochastic Behavior......Page 121
07_Fuzzyโ€“neural Model Predictive Control of Multivariable Processes......Page 137
08_Using Subsets Sequence to Approach the
Maximal Terminal Region for MPC......Page 163
09_Model Predictive Control for Block-oriented
Nonlinear Systems with Input Constraints......Page 175
10_A General Lattice Representation for Explicit
Model Predictive Control......Page 209
Part 2
......Page 235
11_Model Predictive Control Strategies for
Batch Sugar Crystallization Process......Page 237
12_Predictive Control for Active Model and its
Applications on Unmanned Helicopters......Page 257
13_Nonlinear Autoregressive with Exogenous Inputs Based Model Predictive Control for Batch
Citronellyl Laurate Esterification Reactor......Page 279
14_Using Model Predictive Control for Local
Navigation of Mobile Robots......Page 303
15_Model Predictive Control and Optimization
for Papermaking Processes......Page 321
16_Gust Alleviation Control Using Robust MPC
......Page 355
17_MBPC โ€“ Theoretical Development for Measurable Disturbances and Practical Example
of Air-path in a Diesel Engine......Page 381
18_BrainWaveยฎ: Model Predictive Control
for the Process Industries......Page 405


๐Ÿ“œ SIMILAR VOLUMES


Model Predictive Control
โœ Dr Eduardo F. Camacho PhD, Dr Carlos Bordons PhD (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1999 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p>In recent years Model Predictive Control (MPC) schemes have established themselves as the preferred control strategy for a large number of processes. Their ability to handle constraints and multivariable processes and their intuitive way of posing the pro cess control problem in the time domain a

Model Predictive control
โœ Professor E. F. Camacho, Associate Professor C. Bordons (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><P>From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes.</P><P>The second edition of <EM>Model Predictive Control</EM> provides a thorough introduction to theoretical and practic

Model Predictive Control
โœ E. F. Camacho, C. Bordons ๐Ÿ“‚ Library ๐Ÿ“… 1999 ๐Ÿ› Springer ๐ŸŒ English

In recent years Model Predictive Control (MPC) schemes have established themselves as the preferred control strategy for a large number of processes. Their ability to handle constraints and multivariable processes and their intuitive way of posing the process control problem in the time domain are t

Model Predictive Control (Advanced Textb
โœ E. F. Camacho, C. Bordons ๐Ÿ“‚ Library ๐Ÿ“… 1999 ๐Ÿ› Springer ๐ŸŒ English

In recent years Model Predictive Control (MPC) schemes have established themselves as the preferred control strategy for a large number of processes. Their ability to handle constraints and multivariable processes and their intuitive way of posing the pro cess control problem in the time domain are

Advanced Model Predictive Control for Au
โœ Yang Shi, Chao Shen, Henglai Wei, Kunwu Zhang ๐Ÿ“‚ Library ๐Ÿ“… 2023 ๐Ÿ› Springer ๐ŸŒ English

<p><span>This book provides a comprehensive overview of marine control system design related to underwater robotics applications. In particular, it presents novel optimization-based model predictive control strategies to solve control problems appearing in autonomous underwater vehicle applications.