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These relationships were plotted on semantic network maps to examine the interconnections between variables.
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An important task in the design of decentralized control systems for multivariable plants is the decision of the structure of interconnections between manipulated variables and measurements.
An important task in the design of decentralized control systems for multivariable plants is the choice of the structure of interconnections between manipulated variables and controlled outputs, i.e. the control configuration.
It is impossible for a human being to consciously keep track of the interconnections between so many variables, or to calculate all the consequences that may emerge from putting all of the principles, standards, and guidelines together.
The study design (cross-sectional) limits the present study's ability to draw inferential interconnections between the independent variables and the consumption and drinking frequency of alcoholic beverage in the country.
Therefore, in the short- and the medium-term horizon, there are not any possible observed interconnections between the three groups of variables.
This control is designed using the Casimir's invariant based energy shaping method associated with a particular conservative interconnection between the boundary variables.
The control strategies of these networks are rather difficult thanks to the non-linearity of the system and the strong interconnection between the controlled variables.
The same control law is then derived using an energy-shaping method based on Casimir's invariants, associated with a particular conservative interconnection between the boundary variables.
Together the data generated by the present study reveal a strong interconnection between the investigated variables, as well as a permanent and shifting influence on the biohydrogen production process under the investigated conditions.
Two way interactions between variables were considered.
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