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A hybrid computer for adaptive nonlinear process identification

Authors:

Rob J. Roy,

Bruce W. NuttingAuthors Info & Claims

AFIPS '64 (Fall, part I): Proceedings of the October 27-29, 1964, fall joint computer conference, part I

Pages 527 - 537

https://doi.org/10.1145/1464052.1464102

Published: 27 October 1964 Publication History

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Abstract

The physical processes which exist are, for the most part, controllable. In order for man to exert control over these processes, however, it is necessary for him to design a system to suitably perform this task. Such a design requires a characterization of the process to be controlled.

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Cited By

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Rillings JRoy R(1967)Bang-bang control strategy using a tabular adaptive modelIEEE Transactions on Automatic Control10.1109/TAC.1967.109858012:3(310-312)Online publication date: Jun-1967
https://doi.org/10.1109/TAC.1967.1098580
Sklansky J(1966)Learning systems for automatic controlIEEE Transactions on Automatic Control10.1109/TAC.1966.109822911:1(6-19)Online publication date: Jan-1966
https://doi.org/10.1109/TAC.1966.1098229
Rillings JRoy R(1966)Control of a nonlinear plant with two level input using a tabular adaptive-predictive modelFifth Symposium on Adaptive Processes10.1109/SAP.1966.271145(540-545)Online publication date: Oct-1966
https://doi.org/10.1109/SAP.1966.271145

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Published In

AFIPS '64 (Fall, part I): Proceedings of the October 27-29, 1964, fall joint computer conference, part I

October 1964

749 pages

ISBN:9781450378895

DOI:10.1145/1464052

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 1964

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Cited By

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Rillings JRoy R(1967)Bang-bang control strategy using a tabular adaptive modelIEEE Transactions on Automatic Control10.1109/TAC.1967.109858012:3(310-312)Online publication date: Jun-1967
https://doi.org/10.1109/TAC.1967.1098580
Sklansky J(1966)Learning systems for automatic controlIEEE Transactions on Automatic Control10.1109/TAC.1966.109822911:1(6-19)Online publication date: Jan-1966
https://doi.org/10.1109/TAC.1966.1098229
Rillings JRoy R(1966)Control of a nonlinear plant with two level input using a tabular adaptive-predictive modelFifth Symposium on Adaptive Processes10.1109/SAP.1966.271145(540-545)Online publication date: Oct-1966
https://doi.org/10.1109/SAP.1966.271145

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Incremental Process Modeling through Stakeholder-Based Hybrid Process Simulation

Business Process Identification Technique

Change mining in adaptive process management systems