Abstract
Many physical phenomena are modeled by stochastic systems. Typically some parameters of the system are unknown so that these parameters must be estimated and often it is required to control this system. In this paper the parameter estimation problem is considered for this combined adaptive control problem. The unknown parameters appear affinely in the drift term of the stochastic differential equation that describes the nonlinear stochastic system. It is shown that the family of maximum likelihood estimates based on the observations of the system for increasing time are strongly consistent.
Research partially supported by NSF Grant ECS-8403286-A01.
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© 1986 Springer Science+Business Media Dordrecht
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Duncan, T.E., Pasik-Duncan, B. (1986). A Parameter Estimate Associated with the Adaptive Control of Stochastic Systems. In: Bensoussan, A., Lions, J.L. (eds) Analysis and Optimization of Systems. Lecture Notes in Control and Information Sciences, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0007585
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DOI: https://doi.org/10.1007/BFb0007585
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