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A technique is developed using transfer matrices to design a configuration by modeling its frequency response.
The objective of this work was to study different solvents and matrices to design a liquid formulation for poorly water soluble drugs, using lorazepam as model drug.
When asynchronous switching is considered and not all closed-loop subsystems are finite-time stabilizable, we recur to the generalized inverse of matrices to design a state feedback controller to stabilize the original system.
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Additionally, some techniques in [4, 5] exploit the sparsity of the banded matrix to design the OFDM block equalizers.
Governing sensitivity equation is derived from the direct differentiation of state vector and transfer matrix to design variables.
Finally, we use a discernibility matrix to design algorithms that compute all the reducts of consistent and inconsistent covering decision systems.
In this paper, we will discuss how modularity could be used to develop RMS, and we will propose a standard approach based on the Design Structure Matrix to design an RMS with a modular architecture.
In order to solve the RCHTUC problem, a SLGSO is developed from the GSO (group search optimizer), applying adaptive covariance matrix to design the optimum searching strategy and employing Lévy flights to increase the diversity of group.
Naturally, the new method is extended to get some LMIs (Linear Matrix Inequalities) to design the observer.
In this paper, we, instead, explore using a set of given matrix patterns to design a classifier.
Material characterization and test matrices were proposed to design flywheels with maximum performance.
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