Durham Medical Books > Data Mining > Download PDF by Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao: Advances in Neural Networks – ISNN 2015: 12th International

Download PDF by Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao: Advances in Neural Networks – ISNN 2015: 12th International

By Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao

ISBN-10: 3319253921

ISBN-13: 9783319253923

ISBN-10: 331925393X

ISBN-13: 9783319253930

The quantity LNCS 9377 constitutes the refereed court cases of the twelfth overseas Symposium on Neural Networks, ISNN 2015, held in jeju, South Korea on October 2015. The fifty five revised complete papers offered have been conscientiously reviewed and chosen from ninety seven submissions. those papers disguise many issues of neural network-related study together with clever keep an eye on, neurodynamic research, memristive neurodynamics, machine imaginative and prescient, sign processing, computing device studying, and optimization.

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Read or Download Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15–18, 2015, Proceedings PDF

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Additional resources for Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15–18, 2015, Proceedings

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In the future, the challenge will be to reduce the overshoot of the output voltage during the initial phase. Neural Dynamic Surface Control for PWM Rectifier 35 References 1. : Dynamic performance improvement of AC/DC converter using model preictive direct power control with finite control set. IEEE Transactions on Industrial Electronics 62(2), 757–767 (2015) 2. : Analysis of an ac to dc voltage source converter using PWM with phase and amplitude control. IEEE Transactions on Industry Applications 27(2), 355–364 (1991) 3.

Compared with the SMC only, the superiority of the improved NNs-based sliding mode controllers has been illustrated. Acknowledgements. 2015MS29. References 1. : New Automated Power Quality Recognition System for Online/offline Monitoring. Neurocomputing 128, 389–406 (2014) 2. : Sliding Modes in Control and Optimization, 2nd edn. Springer, Berlin (1992) 3. : Decentralized Sliding Mode Load Frequency Control for Multi-Area Power Systems. IEEE T. Power Syst. 28, 4301–4309 (2013) 4. : Neural Sliding-Mode Load Frequency Controller Design of Power Systems.

Let x0 be the initial state and F (xk , uk ) be the system function. Let uk = {uk , uk+1 , . . } be an arbitrary sequence of controls from k to ∞. The performance index function for state x0 under the control sequence u0 = {u0 , u1 , . . } is defined as ∞ J(x0 , u0 ) = U (xk , uk ), (2) k=0 where U (xk , uk ) > 0, for xk , uk = 0, is the utility function. The goal of this paper is to find an optimal control scheme which stabilizes the system (1) and simultaneously minimizes the performance index function (2).

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Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15–18, 2015, Proceedings by Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao


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