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The simulation result shows that ADRC can achieve the decoupling control of multivariable system, and have well robustness.
We model a PEMFC as a multivariable system, and apply identification techniques to obtain the system's transfer function matrices, where system variations and disturbances are regarded as uncertainties.
It is based on the identification of a state space model of the multivariable system, and it uses constrained nonlinear optimization techniques to find the controller parameters.
The basic idea of the logical supervisor is based on assigning priorities to individual outputs of controlled multivariable system and on-line evaluation of criterions for each subsystem.
Fluid catalytic cracking unit (FCCU) reactor regenerator is a complex multivariable system and suitable model is useful to understand and design FCCU reaction regeneration processes.
It requires the identification of a full dynamic model of the multivariable system, and uses constrained nonlinear optimization techniques to find the controller parameters.
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They are highly non-linear, multivariable systems and behave differently from conventional batch, fed-batch or continuous non-intensified reactors.
The aim of this paper is to develop a decoupling procedure that applies to multivariable systems and only requires a frequency response function of the system.
Since a SC once-through boiler unit is represented by a typical multivariable system with large inertia and non-linear, slow time-variant and time-delay characteristics, it often makes the coordinated control quality deteriorate under wide-range loading conditions, and thus influences the unit load response speed and leads to heavy fluctuation of the main steam pressure.
For this multivariable system with two inputs and two outputs a model has been derived.
Column flotation process is a very complex, nonlinear and multivariable system.
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