Titlebook: Discrete-Time High Order Neural Control; Trained with Kalman Edgar N. Sanchez,Alma Y. Alanís,Alexander G. Louki Book 2008 Springer-Verlag

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書目名稱Discrete-Time High Order Neural Control影響因子(影響力)




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書目名稱Discrete-Time High Order Neural Control網(wǎng)絡(luò)公開度




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特征

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.

大罵

減去

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

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.

天賦

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.

天賦

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.

不可磨滅

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

考古學(xué)

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: