Stable adaptive schemes for state estimation and identification of linear systems

The main contribution of this paper is the introduction of a new canonical form for an adaptive observer for a linear multivariable system. The adaptive observer simultaneously estimates the state and the parameters of the unknown plant and is shown to be globally asymptotically stable. The extension of the results to discrete systems and the application of the adaptive observer in the control of helicopter dynamics is also considered in detail.

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