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Record 40 of 10802
Reliability analysis in intelligent machines
External Online Source: doi:10.1109/21.105095
Author and Affiliation:
Mcinroy, John E.(Rensselaer Polytechnic Inst., Troy, NY, United States)
Saridis, George N.(Rensselaer Polytechnic, Institute, Troy, NY, United States)
Abstract: Given an explicit task to be executed, an intelligent machine must be able to find the probability of success, or reliability, of alternative control and sensing strategies. By using concepts for information theory and reliability theory, new techniques for finding the reliability corresponding to alternative subsets of control and sensing strategies are proposed such that a desired set of specifications can be satisfied. The analysis is straightforward, provided that a set of Gaussian random state variables is available. An example problem illustrates the technique, and general reliability results are presented for visual servoing with a computed torque-control algorithm. Moreover, the example illustrates the principle of increasing precision with decreasing intelligence at the execution level of an intelligent machine.
Publication Date: Aug 01, 1990
Document ID:
(Acquired Nov 28, 1995)
Accession Number: 90A51155
Subject Category: CYBERNETICS
Document Type: Journal Article
Publication Information: IEEE Transactions on Systems, Man, and Cybernetics (ISSN 0018-9472); 20; 950-956
Publisher Information: United States
Contract/Grant/Task Num: NGT-50357; NAGW-1333
Financial Sponsor: NASA; United States
Organization Source: Rensselaer Polytechnic Inst.; Troy, NY, United States
Description: 7p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
Imprint And Other Notes: (IEEE, International Conference on Robotics and Automation, Cincinnati, OH, May 13-18, 1990) IEEE Transactions on Systems, Man, and Cybernetics (ISSN 0018-9472), vol. 20, July-Aug. 1990, p. 950-956.
Availability Source: Other Sources
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