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An Experimental Study of Model Predictive Control Based ...
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由 JZ Chu 著作2003被引用 9 次 — Practical implementations of two typical types of artificial neural networks (ANNs), feedforward networks and external recurrent networks, as the model for ...
An Experimental Study of Model Predictive Control Based ...
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2024年10月22日 — Predictive control strategies employ a model of the process to predict the future response over a specified horizon [9, 16]. The model designed ...
An Experimental Study of Model Predictive Control Based ...
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An Experimental Study of Model Predictive Control Based on Artificial Neural Networks · Ji-Zheng Chu, Po-Feng Tsai, +5 authors. Shi-Jer Jiang · Published in ...
An Experimental Study of Model Predictive Control Based ...
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由 JZ Chu 著作2003被引用 9 次 — Artificial neural networks (ANNs) used as a model for MPC were trained and tested as suggested by Psichogios and Ungar[8]. Datasets for training and testing ...
An Artificial Neural Network-Based Model Predictive ...
arXiv
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由 A Bakeer 著作2021被引用 49 次 — This paper offers a model-free control strategy on the basis of artificial neural networks (ANNs), for mitigating the effects of parameter mismatching.
Neural network based model predictive control of a ...
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由 JN Sompura 著作2016被引用 4 次 — Abstract: An experimental set up has been designed for the purpose of spatial property control of a distributed parameter system. The setup consists of a ...
ANN-based model predictive control (ANN-MPC)
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This paper presents an experimental study of a Model Predictive Control scheme (MPC) ... Model predictive control using a neural network has been focused by ...
Multistep Model Predictive Control Based on Artificial Neural ...
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由 JZ Chu 著作2003被引用 30 次 — This work studies the effect of different models on the performance of multistep model predictive control (MMPC) via simulation examples and ...
Neural-network-based model predictive control for ...
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由 BRO Floriano 著作2022被引用 16 次 — This paper addresses the consensus problem for discrete-time nonlinear multi-agent systems subjected to switching communication topologies with a model ...
Experimental Application of a Neural Constrained Model ...
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This paper describes an experimental application of constrained predictive control and feedback linearisation based on dynamic neural networks. It also verifies ...