Jejunum
发表于 2025-3-21 18:32:26
书目名称Computationally Efficient Model Predictive Control Algorithms影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0233260<br><br> <br><br>书目名称Computationally Efficient Model Predictive Control Algorithms影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0233260<br><br> <br><br>书目名称Computationally Efficient Model Predictive Control Algorithms网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0233260<br><br> <br><br>书目名称Computationally Efficient Model Predictive Control Algorithms网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0233260<br><br> <br><br>书目名称Computationally Efficient Model Predictive Control Algorithms被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0233260<br><br> <br><br>书目名称Computationally Efficient Model Predictive Control Algorithms被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0233260<br><br> <br><br>书目名称Computationally Efficient Model Predictive Control Algorithms年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0233260<br><br> <br><br>书目名称Computationally Efficient Model Predictive Control Algorithms年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0233260<br><br> <br><br>书目名称Computationally Efficient Model Predictive Control Algorithms读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0233260<br><br> <br><br>书目名称Computationally Efficient Model Predictive Control Algorithms读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0233260<br><br> <br><br>
起来了
发表于 2025-3-21 22:48:37
MPC Algorithms Based on Double-Layer Perceptron Neural Models: the Prototypes,The “ideal” MPC algorithm with nonlinear optimisation and a few suboptimal MPC algorithms with different on-line linearisation methods are discussed. In order to illustrate properties of the considered MPC algorithms they are compared in two control systems: a yeast fermentation reactor and a high p
不遵守
发表于 2025-3-22 04:20:37
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单独
发表于 2025-3-22 05:03:43
MPC Algorithms Based on Neural State-Space Models,s well as of two suboptimal MPC-NPL and MPL-NPLPT algorithms are presented. All the algorithms are considered in two versions: with the state set-point trajectory and with the output set-point trajectory. Simulation results are concerned with the polymerisation reactor introduced in the previous cha
Accomplish
发表于 2025-3-22 08:44:04
MPC Algorithms Based on Neural Multi-Models,hapter is concerned with MPC algorithms based on neural multi-models. The classical dynamic models, both input-output and state-space structures, are used recurrently in MPC algorithms as they calculate the predictions for the whole prediction horizon. In such a case the prediction error is propagat
陈列
发表于 2025-3-22 13:43:08
MPC Algorithms with Neural Approximation,arisation. A specially designed neural network (the neural approximator) approximates on-line the step-response coefficients of the model linearised for the current operating point of the process (such an approach is used in the MPC-NPL-NA and DMC-NA algorithms which are extensions of the MPC-NPL an
陈列
发表于 2025-3-22 19:38:34
Stability and Robustness of MPC Algorithms,ity and robustness are reviewed with a view to using them in the suboptimal MPC algorithms with on-line linearisation. A modification of the dual-mode MPC strategy is thoroughly discussed which leads to the suboptimal MPC algorithm with theoretically guaranteed stability. Finally, a modification of
微生物
发表于 2025-3-22 21:55:36
Cooperation between MPC Algorithms and Set-Point Optimisation Algorithms,first, the classical multi-layer control system structure is discussed, the main disadvantage of which is the necessity of on-line nonlinear optimisation. Three control structures with on-line linearisation for set-point optimisation are presented next: the multi-layer structure with steady-state ta
engrave
发表于 2025-3-23 02:16:21
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Flat-Feet
发表于 2025-3-23 09:14:27
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