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This problem can be handled by estimating the compositions from readily available online temperature measurements using a state estimator.
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The tray temperature based short-cut observer (TTBSCO) has been used as a state estimator within the control structure, in which all tray temperatures were considered to be measured.
The model is used in designing a state estimator to estimate slip angle, which compensates slip angle prediction error using the measurements of lateral acceleration and yaw rate.
First, an estimator is developed by using a state observer based technique.
The moving horizon estimation (MHE) technique combined with a Luenberger observer is used to design a state estimator with which the state estimation error converges to and remains in some disturbance invariant set.
The a priori information from λ-tuning is used in designing a state estimator with integral action.
In the above experiments, the reference method chosen for comparison with the proposed method uses the Wiener gain, as described by (5), computed using a state-of-the-art noise estimator [37].
Within this context, the problem of state-of-charge estimation is viewed as a state estimation problem, so that a state estimator is designed using the model.
The design procedure involves off-line design of a robust constrained state feedback MPC law and a state estimator using linear matrix inequalities (LMIs).
The strategy considers a state space representation to model the pulp level of each bank (with a multiple input - single output model), which is obtained by a system identification procedure and uses a Kalman filter as a state estimator.
This paper uses Kalman filter theory to design a state estimator for noisy discrete time Takagi Sugeno (T S) fuzzy models.
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