Computational Techniques for Model Predictive Control of Large-Scale Systems with Continuous-Valued and Discrete-Valued Inputs
We propose computational techniques for model predictive control of large-scale systems with both continuous-valued control inputs and discrete-valued control inputs, which are a class of hybrid systems. In the proposed method, we introduce the notion of virtual control inputs, which are obtained by...
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2013/615060 |
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doaj-3f426729e08b48b7be84678817f7ab102020-11-25T01:08:30ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/615060615060Computational Techniques for Model Predictive Control of Large-Scale Systems with Continuous-Valued and Discrete-Valued InputsKoichi Kobayashi0Kunihiko Hiraishi1School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa 923-1292, JapanSchool of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa 923-1292, JapanWe propose computational techniques for model predictive control of large-scale systems with both continuous-valued control inputs and discrete-valued control inputs, which are a class of hybrid systems. In the proposed method, we introduce the notion of virtual control inputs, which are obtained by relaxing discrete-valued control inputs to continuous variables. In online computation, first, we find continuous-valued control inputs and virtual control inputs minimizing a cost function. Next, using the obtained virtual control inputs, only discrete-valued control inputs at the current time are computed in each subsystem. In addition, we also discuss the effect of quantization errors. Finally, the effectiveness of the proposed method is shown by a numerical example. The proposed method enables us to reduce and decentralize the computation load.http://dx.doi.org/10.1155/2013/615060 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Koichi Kobayashi Kunihiko Hiraishi |
spellingShingle |
Koichi Kobayashi Kunihiko Hiraishi Computational Techniques for Model Predictive Control of Large-Scale Systems with Continuous-Valued and Discrete-Valued Inputs Journal of Applied Mathematics |
author_facet |
Koichi Kobayashi Kunihiko Hiraishi |
author_sort |
Koichi Kobayashi |
title |
Computational Techniques for Model Predictive Control of Large-Scale Systems with Continuous-Valued and Discrete-Valued Inputs |
title_short |
Computational Techniques for Model Predictive Control of Large-Scale Systems with Continuous-Valued and Discrete-Valued Inputs |
title_full |
Computational Techniques for Model Predictive Control of Large-Scale Systems with Continuous-Valued and Discrete-Valued Inputs |
title_fullStr |
Computational Techniques for Model Predictive Control of Large-Scale Systems with Continuous-Valued and Discrete-Valued Inputs |
title_full_unstemmed |
Computational Techniques for Model Predictive Control of Large-Scale Systems with Continuous-Valued and Discrete-Valued Inputs |
title_sort |
computational techniques for model predictive control of large-scale systems with continuous-valued and discrete-valued inputs |
publisher |
Hindawi Limited |
series |
Journal of Applied Mathematics |
issn |
1110-757X 1687-0042 |
publishDate |
2013-01-01 |
description |
We propose computational techniques for model predictive control of large-scale systems with both continuous-valued control inputs and discrete-valued control inputs, which are a class of hybrid systems. In the proposed method, we introduce the notion of virtual control inputs, which are obtained by relaxing discrete-valued control inputs to continuous variables. In online computation, first, we find continuous-valued control inputs and virtual control inputs minimizing a cost function. Next, using the obtained virtual control inputs, only discrete-valued control inputs at the current time are computed in each subsystem. In addition, we also discuss the effect of quantization errors. Finally, the effectiveness of the proposed method is shown by a numerical example. The proposed method enables us to reduce and decentralize the computation load. |
url |
http://dx.doi.org/10.1155/2013/615060 |
work_keys_str_mv |
AT koichikobayashi computationaltechniquesformodelpredictivecontroloflargescalesystemswithcontinuousvaluedanddiscretevaluedinputs AT kunihikohiraishi computationaltechniquesformodelpredictivecontroloflargescalesystemswithcontinuousvaluedanddiscretevaluedinputs |
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