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Intelligent Optimal Adaptive Control for Mechatronic Systems pp 61–83Cite as

Optimal Control Methods for Mechatronic Systems

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 120))

Abstract

A number of methods have been devised to deal with the problem of optimal control. These include the Bellman’s dynamic programming, which is a very common method that allows for the algorithm synthesis of an optimal linear-quadratic regulator. Equally interesting are the methods for control law synthesis that use the Pontryagin’s maximum principle.

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Notes

  1. 1.

    Takahashi, Y., Rabins, M.J., Auslander, D.M.: Control and Dynamical Systems. (in Polish) WNT, Warsaw (1976), p. 568.

References

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  4. Grecki, H.: Optimization and Control of Dynamic Systems. (in Polish) AGH University of Science and Technology Press, Krakow (2006)

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  7. Takahashi, Y., Rabins, M.J., Auslander, D.M.: Control and Dynamic Systems. (in Polish) WNT, Warsaw (1976)

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Authors and Affiliations

  1. Department of Applied Mechanics and Robotics, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Rzeszow, Poland

    Marcin Szuster & Zenon Hendzel

Authors
  1. Marcin Szuster
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  2. Zenon Hendzel
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Correspondence to Marcin Szuster .

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Szuster, M., Hendzel, Z. (2018). Optimal Control Methods for Mechatronic Systems. In: Intelligent Optimal Adaptive Control for Mechatronic Systems. Studies in Systems, Decision and Control, vol 120. Springer, Cham. https://doi.org/10.1007/978-3-319-68826-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-68826-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68824-4

  • Online ISBN: 978-3-319-68826-8

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