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The integration of the CATIE phase 1 results and the model states was accomplished by repeated calibration of a multivariable system of equations.
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Especially for the system with asymmetric parties in generalized damping matrix and generalized stiffness matrix, this method transfers the controller design for multivariable system to the choice of a scalar parameter μ.
In this work we focus on the development of a software tool, which allows users to perform experiments with event-based PI controllers in a multivariable system composed of four coupled tanks.
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.
A geometric method for the design of a minimal-order dynamic feedforward compensator cancelling the minimum-phase invariant zeros of a linear multivariable system, while preserving the properties of controllability, observability, and right invertibility is discussed.
Some effective parameter-independent conditions are developed in a concise manner for the global asymptotic stability of the multivariable system using LMI's techniques and principle of Rayleigh's min/max matrix eigenvalue inequality.
The simulation result shows that ADRC can achieve the decoupling control of multivariable system, and have well robustness.
In order to solve the decoupling control problem of multivariable system with time delays, a new decoupling Smith control method for multivariable system with time delays was proposed.
In this paper an approach to a study of multivariable system control is presented, where special attention is devoted to the implemented remote experiment.
In order to reduce the complexity and calculated amount of those decoupling control methods based on the system model, active disturbance rejection controller (ADRC) was applied to decoupling of multivariable system.
The results of the simulation and vehicle test show that the proposed decoupling controller has excellent decoupling performance, which can transform the multivariable system into a number of single input and single output systems, and eliminate the mutual influence and interference.
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