
doi: 10.1137/0329015
Summary: 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.
global boundedness, Adaptive control/observation systems, mean square boundedness, continuous-time stochastic adaptive control algorithm, Stochastic systems in control theory (general)
global boundedness, Adaptive control/observation systems, mean square boundedness, continuous-time stochastic adaptive control algorithm, Stochastic systems in control theory (general)
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