An experimental evaluation of state estimation in multivariable control systems

This paper describes the application of two state estimation techniques, Kalman filters and Luenberger observers, to a computer-controlled pilot plant evaporator. The estimation techniques are used to provide state estimates for an optimal feedback control system and are evaluated using both simulated and experimental data.

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