揭发
发表于 2025-3-21 18:28:51
书目名称Discrete-Time High Order Neural Control影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0281194<br><br> <br><br>书目名称Discrete-Time High Order Neural Control影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0281194<br><br> <br><br>书目名称Discrete-Time High Order Neural Control网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0281194<br><br> <br><br>书目名称Discrete-Time High Order Neural Control网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0281194<br><br> <br><br>书目名称Discrete-Time High Order Neural Control被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0281194<br><br> <br><br>书目名称Discrete-Time High Order Neural Control被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0281194<br><br> <br><br>书目名称Discrete-Time High Order Neural Control年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0281194<br><br> <br><br>书目名称Discrete-Time High Order Neural Control年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0281194<br><br> <br><br>书目名称Discrete-Time High Order Neural Control读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0281194<br><br> <br><br>书目名称Discrete-Time High Order Neural Control读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0281194<br><br> <br><br>
特征
发表于 2025-3-22 00:17:20
The Challenges of Sustainability Ethicsberger structure. The learning algorithm for the RHONN is implemented using an extended Kaiman filter (EKF). The respective stability analysis, on the basis of the Lyapunov approach, is included for the observer trained with an EKF and simulation results are included to illustrate the applicability of the proposed scheme.
大骂
发表于 2025-3-22 03:50:24
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减去
发表于 2025-3-22 06:18:13
Book 2008omplex systems; the use of high order neural networks for modeling and learning has recently increased. Usingneuralnetworks,controlalgorithmscanbedevelopedtoberobustto uncertainties and modeling errors. The most used NN structures are Feedf- ward networks and Recurrent networks. The latter type o?er
Capitulate
发表于 2025-3-22 09:05:44
The Challenges of Sustainability Ethicsneural observer trained with the EKF and the controllers are included. Finally, the applicability of the proposed design is illustrated by an example: output trajectory tracking for an induction motor.
天赋
发表于 2025-3-22 14:47:45
Discrete-Time Output Trajectory Tracking,neural observer trained with the EKF and the controllers are included. Finally, the applicability of the proposed design is illustrated by an example: output trajectory tracking for an induction motor.
天赋
发表于 2025-3-22 17:48:43
Discrete-Time Neural Observers,berger structure. The learning algorithm for the RHONN is implemented using an extended Kaiman filter (EKF). The respective stability analysis, on the basis of the Lyapunov approach, is included for the observer trained with an EKF and simulation results are included to illustrate the applicability of the proposed scheme.
不可磨灭
发表于 2025-3-22 22:30:13
Real Time Implementation,oach analyzed in Chap. 3, the Neural Bock Control Technique discussed in Chap. 4 and the modifications of the last two controllers treated in Chap. 6 to include the RHONO. All these applications was performed using a three phase induction motor.
和音
发表于 2025-3-23 03:18:45
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考古学
发表于 2025-3-23 05:44:53
Edgar N. Sanchez,Alma Y. Alanís,Alexander G. LoukiPresents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs.Includes supplementary material: