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Based on the state-space model with estimated parameters, a constrained state estimator with finite memory is constructed to estimate the resolver angle.
Firstly, an observer is constructed to estimate the system state.
An SDFP bank is constructed to estimate the azimuth velocity components of the two vehicles.
A kinetic model was constructed to estimate the time-activity curves in the primate kidney.
A neural network state observer is constructed to estimate the system states.
In this paper, two GPI observers are constructed to estimate the lumped time-varying disturbances.
A variable structure observer is constructed to estimate the whole process state variables.
Each observer is constructed to estimate the system state from the inputs and only one output.
First, a non-fragile sliding mode observer is constructed to estimate the unmeasured state.
A standard discrete-time fuzzy singularly perturbed model (FSPM) is firstly constructed to estimate CFNSs.
Subsequently, based on the fuzzy model, a DO is constructed to estimate the modeled disturbance.
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