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A satisficing approach to intelligent control of nonlinear systems

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3 Author(s)
Goodrich, M.A. ; Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA ; Stirling, W.C. ; Frost, R.L.

The need to control complex and uncertain systems has motivated the development of new ways to represent knowledge of the system, leading to the development of intelligent controllers. Since complexity and uncertainty may render the superlative paradigm (optimality seeking) inappropriate, alternative decision paradigms may be appropriate for such systems. Satisficing control is compatible with the limited rationality associated with such systems. Strongly satisficing controllers represent a rigorous, systematic synthesis procedure for the design of satisficing controls

Published in:

Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on

Date of Conference:

15-18 Sep 1996