Multivariable Chaotic Systems Synchronization Based on Interval Type-2 Adaptive Fuzzy Sliding Mode Control

• Main Authors: Ming-che Chen, 陳民哲
• Other Authors: Tsung-chih Lin
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/35408507223123374706

碩士 === 逢甲大學 === 電子工程所 === 98 === This thesis presents an interval type-2 adaptive fuzzy sliding mode controller (IT2AFSMC) which included Lyapunov stability method to control a multivariable chaotic slave system to synchronize a uncertain dynamic multivariable chaotic master system and attenuated the effects from the external disturbance of the master system and the internal noise. By utilizing adaptive fuzzy sliding mode control theory, the propose is made the slave system approach an uncertain nonlinear dynamic chaotic system, so the adaptive laws will be derived. To deal with and attenuated the effects from the internal noise and the external disturbance of the nonlinear chaotic system, this thesis design an IT2AFSMC, which tracking performance in comparison with type-1 adaptive fuzzy sliding mode controller (T1AFSMC), IT2AFSMC manifested the stability in close loop and the function of the synchronization trajectory-tracking. Simulation results exhibited that the interval type-2 fuzzy logic system can deal with the training data corrupted by unpredicted internal noise or rule uncertainties involving external disturbances. To achieve the equal tracking performance, T1AFSMC need to expend more control effort to deal with the training data corrupted by internal noise and external noise.