7 Overview of model predictive control theory and applications in food science using ANN

2021 ◽  
pp. 145-178
Keyword(s):  
Control Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Food Science

scholarly journals Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

2018 ◽  
Vol 34 (6) ◽  
pp. 1603-1622 ◽  
Author(s):  
Grady Williams ◽  
Paul Drews ◽  
Brian Goldfain ◽  
James M. Rehg ◽  
Evangelos A. Theodorou
Keyword(s):  
Control Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Autonomous Driving ◽  
Theoretic Model ◽  
Information Theoretic

scholarly journals Vehicle Path Tracking Maneuver Based on Model Predictive Control Theory

2020 ◽  
Vol 1650 ◽  
pp. 032028
Author(s):  
Qijiang Xu ◽  
Jian Wang ◽  
Wenzheng Zhao ◽  
Jinchuan Ding ◽  
Xinjie Liu
Keyword(s):  
Control Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Path Tracking ◽  
Vehicle Path

Time-Domain Aeroservoelastic Modeling and Active Flutter Suppression by Model Predictive Control

2014 ◽  
Vol 898 ◽  
pp. 688-695
Author(s):  
Zhi Wei Sun ◽  
Jun Qiang Bai
Keyword(s):  
Control Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Time Domain ◽  
Loop Analysis ◽  
Flutter Suppression ◽  
Flutter Speed ◽  
Active Flutter Suppression ◽  
Induced Flow ◽  
Suppression System

A time-domain aeroservoelastic model is developed to calculate the flutter speed and an active flutter suppression system is designed by model predictive control. The finite-state, induced-flow theory and equilibrium beam finite element method are chosen to formulate the aeroservoelastic governing equations in state-space form, which is necessary for active flutter suppression design with modern control theory. A sensitivity analysis is performed to find the most appropriate number of induced-flow terms and beam elements. Model predictive control theory is adopted to design an active flutter suppression system due to its ability to deal with the constraints on rate change and amplitude of input. The numerical result shows a satisfactory precision of the flutter speed prediction, the close loop analysis shows that the flutter boundary is considerable expanded.

Model predictive control: Theory and practice

1988 ◽  
Vol 21 (4) ◽  
pp. 1-12 ◽  
Author(s):  
Manfred Morari ◽  
Carlos E. Garcia ◽  
David M. Prett
Keyword(s):  
Control Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Theory And Practice

Lane change steering manoeuvre using model predictive control theory

2008 ◽  
Vol 46 (sup1) ◽  
pp. 669-681 ◽  
Author(s):  
Hidehisa Yoshida ◽  
Shuntaro Shinohara ◽  
Masao Nagai
Keyword(s):  
Control Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Lane Change

Model predictive control: Theory and practice—A survey

Automatica ◽  
1989 ◽  
Vol 25 (3) ◽  
pp. 335-348 ◽  
Author(s):  
Carlos E. García ◽  
David M. Prett ◽  
Manfred Morari
Keyword(s):  
Control Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Theory And Practice

scholarly journals A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms

2019 ◽  
Vol 64 (7) ◽  
pp. 2905-2912 ◽  
Author(s):  
Sumeet Singh ◽  
Yinlam Chow ◽  
Anirudha Majumdar ◽  
Marco Pavone
Keyword(s):  
Control Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Risk Sensitive
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