Digital Redesign of the Decentralized Adaptive Tracker for Linear Large-Scale Interconnected Systems with EP

A novel model-reference-based decentralized adaptive tracker is proposed for a continuous-time large scale multivariable system consisting of N interconnected linear subsystem with evolutionism programming algorithms (EP). It is perfect to use EP algorithms to look for the best parameter of model system. The adaptation of the analog controller gain is derived by using model-reference adaptive control theory based on Lyapunov's method. In this paper, it is shown that the sampled-data decentralized adaptive control system is theoretically possible to asymptotically track the desired output with a desired performance. Based on the prediction-based digital redesign methodology, the optimal digital redesigned tracker for the sampled-data decentralized adaptive control systems with EP is newly proposed. An illustrative example of interconnected linear system is presented to demonstrate the effectiveness of the proposed design methodology.