混沌系統是一種重要且複雜的非線性不確定系統,像雜訊與不可預知的行為,因此如何同步混沌系統在工程學界變得非常具代表性,本論文提出一種適應性智慧型步階迴歸同步控制(AIBSC)系統來同步不確定混沌系統,在提出的適應性智慧型步階迴歸同步控制系統中,TSK遞迴小腦模型控制器(TSKRCMAC)是設計來近似理想步階迴歸同步控制法則(IBSC)的主追蹤控制器,而強健控制器是使用於實現 強健性與預期衰減程度,最後,藉由Genesio混沌系統與Sprott電路系統的模擬,以證明此同步控制策略是有效性。
Since chaotic systems are important nonlinear deterministic systems that display complex, noisy-like and unpredictable behavior, so how to synchronize chaotic system becomes a great deal in engineering community. This study proposes an adaptive intelligent backsteeping synchronization control (AIBSC) system for synchronizing uncertain chaotic system. In the proposed AIBSC system, the Takagi-Sugeno-Kang type recurrent cerebellar model articulation controller (TSKRCMAC) is the principal tracking controller designed to mimic the ideal backstepping synchronization control (IBSC) law, and the robust controller is used to achieve robust performance with desired attenuation level. Finally, the numerical simulations for the Genesio chaotic system and the Sprott circuit system are presented to illustrate the effectiveness of the proposed synchronization control strategy.