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Each subsystem is monitored by a local diagnoser based on the measured local output, local inputs and the interconnection variables from the neighboring subsystems.
Then, a decentralized control scheme is developed as function of the local area state variables and those resulting from the overlapped states which represent an approximation of the interconnection variables.
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These relationships were plotted on semantic network maps to examine the interconnections between variables.
The impact strength is set to an equal rate for every variable interconnection while different time delays are at hand, but were not relevant for MCDA analysis.
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.
A tracking control problem for multiagent consensus with an active leader and variable interconnection topology was considered in [25], where the state of the considered leader keeps changing and may not be measured.
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.
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.
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