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The main idea consists in designing a control law, based on a linear state feedback, to guarantee closed-loop stability.
The proposed output-feedback design is based on a linear state estimator and a novel parameterization of the soft state constraints that has the advantage of leading to optimization problems of prescribable size.
First, based on a linear state transformation, the unknown control coefficients are lumped together and the original system is transformed to a new system for which control design becomes feasible.
The model reduction approach presented by Conzelmann et al. [ 16] is based on a linear state space transformation (3) z → = T x →.
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It is based on a linear scale ranging from 0 10.
The synthesis of the MPC controller is based on a linear extended state-space model of the process, where an identification horizon is added to include a sequence of past inputs/outputs.
The synthesis of the MPC controller is based on a linear subspace (state-space) model of the process, where an identification horizon is added to include a sequence of past inputs/outputs.
Mineral precipitation of highly-soluble evaporate minerals such as halite and trona limit TDS, and may lead to considerable errors in coupled flow simulations based on a linear equation of state at high concentrations.
A flatness-based state feedback control is derived based on a linear distributed-parameter model of the pneumatic system.
We note that defining physically an effective temperature for non-thermal-equilibrium electrons is non-trivial [34], which is not always a scaling relation based on a linear response theory for perturbative thermal-equilibrium states.
In order to maintain a constant triglyceride composition in the effluent from a microaqueous bioreactor using filamentous fungus immobilized within Biomass Support Particles as a lipase catalyst, a feedforward/feedback controller with an on-line enzyme activity estimator and a state estimation controller based on a linear Kalman Filter were developed.
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