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Robustness and computational aspects of nonlinear stochastic estimators and regulatorsRobustness properties of nonlinear extended Kalman filters with constant gains and modeling errors are presented. Sufficient conditions for the nondivergence of state estimates generated by such nonlinear estimators are given. In addition, the overall robustness and stability properties of closed-loop stochastic regulators, based upon the Linear-Quadratic-Gaussian design methodology using linearized dynamics, are presented; the sufficient conditions for closed-loop stability have 'separation-type' property.
Document ID
19790031009
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Safonov, M. G. (MIT, Cambridge, Mass.; Southern California, University Los Angeles, Calif., United States)
Athans, M. (MIT Cambridge, Mass., United States)
Date Acquired
August 9, 2013
Publication Date
January 1, 1977
Subject Category
Cybernetics
Meeting Information
Meeting: Conference on Decision and Control, and Symposium on Adaptive Processes, 16th, and Special Symposium on Fuzzy Set Theory and Applications
Location: New Orleans, LA
Start Date: December 7, 1977
End Date: December 9, 1977
Accession Number
79A15022
Funding Number(s)
CONTRACT_GRANT: AF-AFOSR-77-3281
CONTRACT_GRANT: NGL-22-009-124
Distribution Limits
Public
Copyright
Other

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