Recurrent neural network optimization for model predictive control

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) ◽

10.1109/ijcnn.2008.4633880 ◽

2008 ◽

Author(s):

Liyan Zhang ◽

Shuhai Quan ◽

Kui Xiang

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Predictive Control ◽

Recurrent Neural Network ◽

Network Optimization ◽

Neural Network Optimization

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Multiple Model Predictive Control for Water Management in PEMFC Based on Recurrent Neural Network Optimization

2008 IEEE International Conference on Networking, Sensing and Control ◽

10.1109/icnsc.2008.4525335 ◽

2008 ◽

Author(s):

Liyan Zhang ◽

Mu Pan ◽

Shuhai Quan

Keyword(s):

Neural Network ◽

Water Management ◽

Model Predictive Control ◽

Predictive Control ◽

Recurrent Neural Network ◽

Network Optimization ◽

Multiple Model ◽

Neural Network Optimization

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Missile Guidance Law Based on Robust Model Predictive Control Using Neural-Network Optimization

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2014.2345734 ◽

2015 ◽

Vol 26 (8) ◽

pp. 1803-1809 ◽

Author(s):

Zhijun Li ◽

Yuanqing Xia ◽

Chun-Yi Su ◽

Jun Deng ◽

Jun Fu ◽

...

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Predictive Control ◽

Network Optimization ◽

Missile Guidance ◽

Neural Network Optimization ◽

Robust Model Predictive Control ◽

Guidance Law ◽

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Nonlinear Model Predictive Control With Neural Network Optimization for Autonomous Autorotation of Small Unmanned Helicopters

IEEE Transactions on Control Systems Technology ◽

10.1109/tcst.2010.2054092 ◽

2011 ◽

Vol 19 (4) ◽

pp. 818-831 ◽

Author(s):

Konstantinos Dalamagkidis ◽

Kimon P. Valavanis ◽

Les A. Piegl

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Network Optimization ◽

Nonlinear Model Predictive Control ◽

Neural Network Optimization

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Model Predictive Control for Electrochemical Impedance Spectroscopy Measurement of Fuel Cells Based on Neural Network Optimization

IEEE Transactions on Transportation Electrification ◽

10.1109/tte.2019.2909687 ◽

2019 ◽

Vol 5 (2) ◽

pp. 524-534 ◽

Author(s):

Liyan Zhang ◽

Ze Zhou ◽

Qihong Chen ◽

Rong Long ◽

Shuhai Quan

Keyword(s):

Neural Network ◽

Electrochemical Impedance Spectroscopy ◽

Impedance Spectroscopy ◽

Model Predictive Control ◽

Predictive Control ◽

Network Optimization ◽

Electrochemical Impedance ◽

Electrochemical Impedance Spectroscopy Measurement ◽

Neural Network Optimization

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A Dynamic Model Estimation Scheme for Model Predictive Control of Anesthesia Using Recurrent Neural Network

2018 12th International Symposium on Medical Information and Communication Technology (ISMICT) ◽

10.1109/ismict.2018.8573720 ◽

2018 ◽

Author(s):

Yoshitomo Sakuma ◽

Ryuji Kohno

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Dynamic Model ◽

Predictive Control ◽

Recurrent Neural Network ◽

Model Estimation ◽

Estimation Scheme

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Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network

The 2011 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2011.6033195 ◽

2011 ◽

Author(s):

Zheng Yan ◽

Jun Wang

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Predictive Control ◽

Recurrent Neural Network ◽

Affine Systems ◽

Robust Model Predictive Control ◽

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Recurrent neural network for solving model predictive control problem in application of four-tank benchmark

Neurocomputing ◽

10.1016/j.neucom.2016.01.020 ◽

2016 ◽

Vol 190 ◽

pp. 172-178 ◽

Author(s):

Jing Xu ◽

Chuandong Li ◽

Xing He ◽

Tingwen Huang

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Control Problem ◽

Predictive Control ◽

Recurrent Neural Network

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Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network

Lecture Notes in Computer Science - Advances in Neural Networks - ISNN 2008 ◽

10.1007/978-3-540-87732-5_97 ◽

2008 ◽

pp. 883-892 ◽

Author(s):

Yunpeng Pan ◽

Jun Wang

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Predictive Control ◽

Discrete Time ◽

Recurrent Neural Network ◽

Robust Model Predictive Control ◽

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Predictive Control of DC/DC Converter Based on State Observer

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.476-478.542 ◽

2012 ◽

Vol 476-478 ◽

pp. 542-546 ◽

Author(s):

Chen Zeng ◽

Deng Min Pan ◽

Li Yan Zhang

Keyword(s):

Neural Network ◽

Predictive Control ◽

Control Strategy ◽

Network Optimization ◽

State Observer ◽

Single Sample ◽

Neural Network Optimization ◽

Current State ◽

Simulation Results ◽

In this paper, we present an advanced way to control the DC/DC converter by using predictive control. As the current state of the circuit must be known while using the predictive control, state observer is applied to solve the problem that some variables of DC/DC converter can not be observed. Neural network optimization is used to solve the QP problems in single sample step of predictive control. Simulation results show that this approach can utilize fast converge property of neural network and the new control strategy turns out to be very efficiency.

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Stochastic model predictive control of Markov jump linear systems based on a two-layer recurrent neural network

2013 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2013.6720361 ◽

2013 ◽

Author(s):

Zheng Yan ◽

Jun Wang

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Stochastic Model ◽

Linear Systems ◽

Predictive Control ◽

Recurrent Neural Network ◽

Markov Jump ◽

Jump Linear Systems ◽

Markov Jump Linear Systems ◽

Stochastic Model Predictive Control

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