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Titlebook: Model Predictive Vibration Control; Efficient Constraine Gergely Takács,Boris Roha?-Ilkiv Book 2012 Springer-Verlag London Limited 2012 Act

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發(fā)表于 2025-3-21 16:55:07 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Model Predictive Vibration Control
副標(biāo)題Efficient Constraine
編輯Gergely Takács,Boris Roha?-Ilkiv
視頻videohttp://file.papertrans.cn/636/635789/635789.mp4
概述Includes more than 170 illustrations, photographs, diagrams and several tables to clearly illustrate and explain content.Takes the reader through the necessary steps in understanding the founding idea
圖書封面Titlebook: Model Predictive Vibration Control; Efficient Constraine Gergely Takács,Boris Roha?-Ilkiv Book 2012 Springer-Verlag London Limited 2012 Act
描述.Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the control of lightly damped mechanical structures is assumed, the region of attraction containing the set of allowable initial conditions requires a large prediction horizon, making the already computationally demanding on-line process even more complex. .Model Predictive Vibration Control. provides insight into the predictive control of lightly damped vibrating structures by exploring computationally efficient algorithms which are capable of low frequency vibration control with guaranteed stability and constraint feasibility. .In addition to a theoretical primer on active vibration damping and model predictive control, .Model Predictive Vibration Control. provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as:.·???????? the implementation of computationally efficient algorithms.·???????? control strategies in simulation and experiment and.·???????? typical hardware requirements for piezoceramics actuated smart structu
出版日期Book 2012
關(guān)鍵詞Active Vibration Damping; Computational Efficiency; Linear Systems; Model Predictive Control; Vibration
版次1
doihttps://doi.org/10.1007/978-1-4471-2333-0
isbn_softcover978-1-4471-6072-4
isbn_ebook978-1-4471-2333-0
copyrightSpringer-Verlag London Limited 2012
The information of publication is updating

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發(fā)表于 2025-3-21 20:36:47 | 只看該作者
https://doi.org/10.1007/978-1-4471-2333-0Active Vibration Damping; Computational Efficiency; Linear Systems; Model Predictive Control; Vibration
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發(fā)表于 2025-3-22 00:56:24 | 只看該作者
Gergely Takács,Boris Roha?-IlkivIncludes more than 170 illustrations, photographs, diagrams and several tables to clearly illustrate and explain content.Takes the reader through the necessary steps in understanding the founding idea
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978-1-4471-6072-4Springer-Verlag London Limited 2012
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MTIRL: Multi-trainer Interactive Reinforcement Learning Systemxperiments show that our aggregation method has the best accuracy when compared with the majority voting, the weighted voting, and the Bayesian method. Finally, we conduct a grid-world experiment to show that the policy trained by the MTIRL with the review model is closer to the optimal policy than that without a review model.
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