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Titlebook: Model Predictive Control; Approaches Based on Ridong Zhang,Anke Xue,Furong Gao Book 2019 Springer Nature Singapore Pte Ltd. 2019 Model Pre

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書目名稱Model Predictive Control
副標題Approaches Based on
編輯Ridong Zhang,Anke Xue,Furong Gao
視頻videohttp://file.papertrans.cn/636/635782/635782.mp4
概述The first monograph on extended state space and extended non-minimal state space approaches to model predictive control design.Introduces the multi-degree of freedom into the controller design of chem
圖書封面Titlebook: Model Predictive Control; Approaches Based on  Ridong Zhang,Anke Xue,Furong Gao Book 2019 Springer Nature Singapore Pte Ltd. 2019 Model Pre
描述.This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.?.
出版日期Book 2019
關(guān)鍵詞Model Predictive Control; Process Control; Control Engineering; State Space Models; PID Control; Extended
版次1
doihttps://doi.org/10.1007/978-981-13-0083-7
isbn_softcover978-981-13-4326-1
isbn_ebook978-981-13-0083-7
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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ing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.?.978-981-13-4326-1978-981-13-0083-7
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https://doi.org/10.1007/978-981-13-0083-7Model Predictive Control; Process Control; Control Engineering; State Space Models; PID Control; Extended
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Cooperative Driving at?Intersections Through Agent-Based Argumentation, leading to vehicle collisions) by applying a configurable conflicts resolution policy and suggesting alternative routes to vehicles. Extensive simulation results show that – in most situations – the argumentation-based approach enables increasing the overall throughput at intersections while decreasing vehicles’ delay.
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Modeling Mental States in the Analysis of Multiagent Systems Requirementsoals and knowledge are represented as their mental states, which allows for the formal analysis and verification of, among other things, complex agent interactions where agents may have different goals and different (incomplete) knowledge. Our models can also serve as high-level specifications for multiagent systems.
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