Abstract
Much work has recently been done in the field of optimal control. The structure of the optimal controller can be determined mathematically on the basis of Pontryagn’s maximum principle, if the dynamic characteristics of the plant are known.
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References
B. Widrow and F. W. Smith, “Pattern-recognizing Control Systems,” Computer and Inform. Sci. 1, 288–317, (1964).
H. Tamura and T. Kurokawa, “Adaptive Construction of Time Optimal Switching Functions,” J. Inst. Elect. Engrs. Japan 88-8 1531–1540, (1968).
H. Tamura and T. Kurokawa, “Adaptive Pattern Classifiers Applied to Time Optimal Control,” IFAC Symp. on Technical and Biological Problems in Control, Yerevan (USSR), (1968).
T. Kurokawa and H. Tamura, “A Learning Method for the Construction of Optimal Switching Surfaces,” Trans. IECE Japan, 54-C, 904–911, (1970).
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© 1971 Plenum Press, New York
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Tamura, H. (1971). Self-Learning Method for Time-Optimal Control. In: Fu, K.S. (eds) Pattern Recognition and Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7566-5_20
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DOI: https://doi.org/10.1007/978-1-4615-7566-5_20
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4615-7568-9
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