Decentralized Adaptive Control: Influence of Identification Algorithm on Control

Decentralized control has been popular very much because of its very good results in several tasks of control of multidimensional systems. Adaptation enlarges the area of the usage especially in the case that standard controllers with fixed parameters are unsatisfactory. Last year we have introduced a new approach based on a modified tuning method based on a combination of one-dimensional self-tuning controllers. The appropriate identification algorithm together with the chosen controller tuning method is crucial for the behavior of the controlled system. In this paper, the main attention is dedicated to the influence of chosen identification algorithm on control. Several identification algorithms are used. These algorithms have been verified by simulation in MATLAB on a TITO (two input, two output) system and emphasize the importance of used identification algorithm for control.