article · Advanced materials research · 2013

Heuristic Dynamic Programming Iterative Algorithm Design Based on BP Neural Network

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Abstract

The time-delay delay phenomenon is a kind of widespread physical and biological phenomenon. The existence of time-delay not only give the stability of system analysis and controller design brings great difficulties but also usually make the systems unstable and even cause the system performance deteriorated. We use the adaptive dynamic iterative algorithm to solve this equation. By using the neural network to achieve the iterative algorithm, get the optimal control law of the systems with time delay. The simulation results show that the adaptive dynamic programming method to solve the optimal control of the nonlinear system is effective.

Cite this paper

APA 7

Zhao, Y., & Yang, J. Y. (2013). Heuristic Dynamic Programming Iterative Algorithm Design Based on BP Neural Network. Advanced materials research, 850-851, 893–896. https://doi.org/10.4028/www.scientific.net/amr.850-851.893

MLA 9

Zhao, Yu, and Ji Ye Yang. “Heuristic Dynamic Programming Iterative Algorithm Design Based on BP Neural Network.” Advanced materials research, vol. 850-851, 2013, pp. 893–96, https://doi.org/10.4028/www.scientific.net/amr.850-851.893.

Chicago

Zhao, Yu, and Ji Ye Yang. 2013. “Heuristic Dynamic Programming Iterative Algorithm Design Based on BP Neural Network.” Advanced materials research 850-851: 893–96. https://doi.org/10.4028/www.scientific.net/amr.850-851.893.

Harvard

Zhao, Y. and Yang, J.Y. (2013) ‘Heuristic Dynamic Programming Iterative Algorithm Design Based on BP Neural Network’, Advanced materials research, 850-851, pp. 893–896. Available at: https://doi.org/10.4028/www.scientific.net/amr.850-851.893.

BibTeX

@article{zhao2013heuristic,
  title = {{Heuristic Dynamic Programming Iterative Algorithm Design Based on BP Neural Network}},
  author = {Zhao, Yu and Yang, Ji Ye},
  journal = {Advanced materials research},
  volume = {850-851},
  pages = {893--896},
  year = {2013},
  doi = {10.4028/www.scientific.net/amr.850-851.893}
}

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