Universal Predictive Kalman Filter-based Fault Estimator Applied to Secure Communication: Evolutionary Programming Approach

• Main Authors: Yao-MingLi, 李耀明
• Other Authors: Sheng-Hong Tsai
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/98471245014475083916

碩士 === 國立成功大學 === 電機工程學系碩博士班 === 100 === Nonlinear dynamical systems such as chaotic systems are often applied to encryption on secure communications, but they may not provide a high-degree security. In order to improve the communication of security, chaotic system needs to be add other secure signal, but additional dimensions or signals may to cause signals to divergence. In this thesis, we redesign a communication scheme that could create secure signals with additional secure signals, and the scheme could keep system convergence. The universal state-space adaptive observer-based fault diagnosis/estimator and the high-performance tracker for the sampled-data linear time-varying system with unanticipated decay factors in actuators/system states are introduced in this thesis. A residual generation scheme and a mechanism for auto-tuning switched gain is also presented, so that the introduced methodology is applicable for the fault detection and diagnosis (FDD) for actuator and state faults to yield the high tracking performance recovery, then an evolutionary programming-based adaptive observer is presented in this thesis to improve the performance of state estimation of linear time-varying sampled-data systems. The estimator is then applied to the problem of secure communication. The effectiveness and efficiency of proposed design methodology are illustrated through tracking control simulation examples.