New Input-Output Pairing Criterion Using Genetic Algorithm For Unstable Systems

In this paper, a new approach for input-output pairing for unstable system has been proposed. First, through an example, it is demonstrated that previous method for unstable plant’s input-output pairing cannot find appropriate pair as it only checks necessary conditions for stability and integrity. Then, a new approach that uses Relative Error Matrix and genetic algorithm for finding appropriate pair in unstable systems is proposed. It is demonstrated that this approach considers both static and dynamic information of plant in measuring interaction. Finally, through an example and closed loop simulation, the accuracy of proposed method is demonstrated.

Keywords:

Decentralized Control , Input-Output pairing , Unstable plant , Relative Error Matrix , Genetic Algorithm