Abstract
As an effective control structure for interconnected system, decentralized control scheme has been proposed, which distribute the control and information to each control station and accomplish the common goal by multiple controllers located at each control station. For the case that exact models of local subsystems can be obtained, the authors proposed a practical decentralized control scheme, which consists of hybrid controller, without exchanging information among its subsystems. In this paper, we consider identification and control problems for unknown subsystems by regarding interactions among subsystems as unknown disturbance for each subsystem. At first, we propose a robust adaptive algorithm, without assuming any statistical property of disturbance, which applies a fuzzy dead zone set based on the information about the upper bound of disturbance. Furthermore, we propose a fuzzy indentification system which uses a fuzzy dynamic linear model and a fuzzy dead zone set for the case that it is impossible to get any information about the upper bound of disturbance. It is shown that the proposed identification algorithm using the fuzzy dead zone set and the fuzzy identification model attains robustness and higher accuracy in identification compared with other methods.
