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Uncertainty Management In Modeling and Control of Large Flexible Structures
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English
Abstract
A formal procedure for generating a stochastic model for flexible structures is presented herein. The “best” available analytical model is taken and modeling errors and other random uncertainties are incorporated in the given model to generate a stochastic model. The optimal stochastic control for the system is derived and its performance is compared both with the deterministic model using a deterministic controller and with the stochastic model using the deterministic controller. A specific example is simulated whereby the results are plotted for different cases. Comments regarding applicability of the procedures are included.
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Panossian, H., "Uncertainty Management In Modeling and Control of Large Flexible Structures," SAE Technical Paper 841580, 1984, https://doi.org/10.4271/841580.Also In
References
- Panossian H. V. “Optimal Adaptive Stochastic Control of Linear Dynamical Systems with Multiplicative and Additive Noise” UCLA, Ph.D. dissertation 1981
- Sesak John K. Likins P. W. “Model Error Sensitivity Suppression: Quasi-Static Optimal Control for Flexible Structures” 18th IEEE Conference on Decision and Control Ft. Lauderdale, Florida December 1979
- Hyland D. C. “Structural Modeling and Control Under Incomplete Parameter Information: The Maximum Eutropy Approach” Air Force/NASA Workshop on Modeling, Analysis and Optimization Issues for LSS May 13 14 1982
- Brand Louis “The Companion Matrix and Its Properties” J. of Mathematical Association of America June-July 629 634 1964