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Rates of convergence are derived for approximate solutions to optimization problems associated with the design of state estimators for nonlinear dynamic systems. Such problems consist in minimizing the functional given by the worst-case ratio between the ℒp-norm of the estimation error and the sum of the ℒp-norms of the disturbances acting on the dynamic system. The state estimator depends on...
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