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This paper considers the problem of adaptively stabilizing an unknown, continuous-time, minimum phase linear process with known, but arbitrary, relative degree n*. The controller is of dimension n* and is a one-parameter, high-gain design. The single gain parameter, k, is adjusted continuously as a function of process output, and is shown to adaptively stabilize any such process, provided that the...
This paper describes the results of a computer study of the adaptive control of a family of example systems by the model reference algorithm of [1], suitably modified to account for unmodelled dynamics and external disturbances.
This paper presents a simple algorithm for adaptively stabilizing a linear one-dimensional discrete time process. Prior knowledge of the sign of the process high frequency gain is not required, and the adaptive control law is a continuous function of its arguments. Performance of the algorithm is considered and a simple modification is suggested to improve algorithm convergence rate while preserving...
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