Continuous-Time Stochastic Adaptive Control

Abstract
This paper establishes global boundedness for a continuous-time stochastic adaptive control algorithm. It is shown that, with probability one, the system inputs and outputs satisfy a sample mean square boundedness property. The algorithm and method of analysis are not directly analogous to the discrete-time case, since special features are necessary to handle the continuous-time problem

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