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The high-complexity nonlinear diabetic patient Sorensen-model was considered and Linear Parameter Varying methodology was used to develop open loop model and robust controller.
The high-complexity nonlinear diabetic patient Sorensen-model was considered and Linear Parameter Varying methodology was used to develop open-loop model and robust H∞ controller.
In vivo evaluation of 8a showed potent activity in the rat dipsogenia model and robust wake-promoting activity in the rat EEG/EMG model.
Present work employs Shear Stress Transport (SST) model for modelling turbulence which incorporates the near wall fluctuation capturing capability of k-ω model and robust k-ɛ model for modelling the bulk domain.
Therefore, cluster formation seems to be a generic feature of the "extrinsic" model and robust in the range of the parameters considered.
Country-level fixed effects were included to absorb unobserved country-level heterogeneity (e.g., determinants of variation in case fatality rates not explained by other covariates in the model), and robust standard errors, clustered by country, were estimated using the jackknife method.
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This paper studies the future model prediction and robust model predictive control (RMPC) design for linear parameter varying systems with bounded parameter changes.
reveals boundaries of stability, valid for a class of models and robust against uncertainties in specific models.
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems.
Reliable modeling and robust control of heat transfer processes are tasks with many applications in engineering.
This paper presents an empirical modeling and robust control of a novel meso-scale vapor compression refrigeration system (mVCRS).
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