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This paper is devoted to the design of an H∞ adaptive observer for a class of linear descriptor systems in order to estimate simultaneously the system states and its parameters. Based on a mathematical transformation on the system, a new method is presented in order to get an augmented measure matrix from which the observer is built. The existence conditions of the observer are given through matrices...
In this paper, we propose a new approach to an adaptive observer design for a class of multi-input–multi-output linear descriptor systems. Global exponential convergence for joint state-parameter estimation is established for noise-free systems. For noise corrupted descriptor systems, it is proved that the state and parameter estimation errors are bounded and converge in the mean to zero, when the...
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