ROBUST STATE ESTIMATION FOR CONTINUOUS-TIME SINGULAR LINEAR SYSTEM WITH UNCERTAIN NOISE
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Abstract
The problem of robust state estimation for continuous-time singular linear systems with uncertain noise is considered.A kind of practical algorithm of optimum recurrence estimation is obtained.Using game theory,the minimax robust state estimator is designed,which can minimize the worst performance under the uncertain noise.
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