Neural network designs with genetic learning for control of a single link flexible manipulator

Sandeep Jain, Pei Yuan Peng, Antonios Tzes, Farshad Khorrami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The application of neural networks for active control of lightly damped systems is considered in this paper. The training process of the neural-network controller is based on the genetic learning algorithm. The scheme imitates nature's cleansing phenomena of natural selection and survival of the fittest to generate individual controllers with the best fitness values. It essentially incorporates an exhaustive search in the weight-space governed by the rituals of crossover and mutation to seek the optimum neural-network weights to satisfy certain performance criteria. Several appropriate modifications of the classical genetic algorithm for neural-network control purposes are discussed. The genetic-trained neural-network controller is applied for tip position tracking and vibration suppression of a single-link flexible arm. Simulation studies are presented to validate the effectiveness of the advocated algorithms.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherAmerican Automatic Control Council
Pages2570-2574
Number of pages5
Volume3
StatePublished - 1994
EventProceedings of the 1994 American Control Conference. Part 1 (of 3) - Baltimore, MD, USA
Duration: Jun 29 1994Jul 1 1994

Other

OtherProceedings of the 1994 American Control Conference. Part 1 (of 3)
CityBaltimore, MD, USA
Period6/29/947/1/94

Fingerprint

Flexible manipulators
Neural networks
Controllers
Genetic algorithms
Learning algorithms
Telecommunication links

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Jain, S., Peng, P. Y., Tzes, A., & Khorrami, F. (1994). Neural network designs with genetic learning for control of a single link flexible manipulator. In Proceedings of the American Control Conference (Vol. 3, pp. 2570-2574). American Automatic Control Council.

Neural network designs with genetic learning for control of a single link flexible manipulator. / Jain, Sandeep; Peng, Pei Yuan; Tzes, Antonios; Khorrami, Farshad.

Proceedings of the American Control Conference. Vol. 3 American Automatic Control Council, 1994. p. 2570-2574.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jain, S, Peng, PY, Tzes, A & Khorrami, F 1994, Neural network designs with genetic learning for control of a single link flexible manipulator. in Proceedings of the American Control Conference. vol. 3, American Automatic Control Council, pp. 2570-2574, Proceedings of the 1994 American Control Conference. Part 1 (of 3), Baltimore, MD, USA, 6/29/94.
Jain S, Peng PY, Tzes A, Khorrami F. Neural network designs with genetic learning for control of a single link flexible manipulator. In Proceedings of the American Control Conference. Vol. 3. American Automatic Control Council. 1994. p. 2570-2574
Jain, Sandeep ; Peng, Pei Yuan ; Tzes, Antonios ; Khorrami, Farshad. / Neural network designs with genetic learning for control of a single link flexible manipulator. Proceedings of the American Control Conference. Vol. 3 American Automatic Control Council, 1994. pp. 2570-2574
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