浮浅 发表于 2025-3-21 17:57:33

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aggravate 发表于 2025-3-21 23:49:55

1439-2232 onstraints for the cases of multiplicative and stochastic model uncertainty. The book provides:...extensive use of illustrative examples;..sample problems; and..discussion of novel control applications such asr978-3-319-79689-5978-3-319-24853-0Series ISSN 1439-2232 Series E-ISSN 2510-3814

Consensus 发表于 2025-3-22 04:06:15

Basil Kouvaritakis,Mark CannonEquips the student to deal with broad classes of system uncertainties with the first textbook treatment of stochastic predictive control.Gives the student an up-to-date source on robust predictive con

helper-T-cells 发表于 2025-3-22 08:34:05

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星球的光亮度 发表于 2025-3-22 10:52:27

https://doi.org/10.1007/978-3-319-24853-0Constained Systems; Controller Parameterization; Convex Optimization; Model Predictive Control Textbook

脱离 发表于 2025-3-22 14:10:46

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Aromatic 发表于 2025-3-22 18:25:16

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印第安人 发表于 2025-3-23 00:32:27

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公司 发表于 2025-3-23 01:23:59

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deactivate 发表于 2025-3-23 09:30:36

https://doi.org/10.1007/978-94-024-0858-4e issues. This guide empowers the development team with the experience of Social Sciences in these issues. This paper introduces the guide and shows its application in a case study about a web application.
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查看完整版本: Titlebook: Model Predictive Control; Classical, Robust an Basil Kouvaritakis,Mark Cannon Textbook 2016 Springer International Publishing AG, part of S