標題: Fuzzy Modeling and Synchronization of Chaotic Quantum Cellular Neural Networks Nano System via a Novel Fuzzy Model and Its Implementation on Electronic Circuits
作者: Ge, Zheng-Ming
Li, Shih-Yu
機械工程學系
Department of Mechanical Engineering
關鍵字: GNew Fuzzy Model;LMI-Based Synchronization;Electronic Implementation;Quantum-CNN system
公開日期: 1-十一月-2010
摘要: In this paper, a new fuzzy model is presented to simulate Quantum cellular neural networks nano system (called Quantum-CNN system). Through the new fuzzy model, the Quantum-CNN system is linearized to a simple form-linear coupling of two linear subsystems. Quantum-CNN system is a complicated nonlinear system. There are too more nonlinear terms in its dynamic equations, such as radical terms, square terms, sin and cos terms, etc. If the traditional T-S fuzzy model is used here, there would be 16 fuzzy rules and even 64 linear equations for modeling such a complex system. It is definitely an inefficient work. As a result, by using the new fuzzy model, the numbers of fuzzy rules can be reduced from 2(N) to 2 x N (where N is the number of nonlinear terms) and only two subsystems exist. Moreover, the LMI-based fuzzy synchronization of two fuzzy chaotic Q-CNN systems and its related theorem is proposed as well. Via using the new fuzzy model, only two feedback gains are needed in the fuzzy controllers. Finally, via using Taylor's expansion, the complicated nonlinear terms can be expanded to series form, and then the simplified Q-CNN system can be implemented on electronic circuits for secure communication. Simulation results in MATLAB and implementation of electronic circuits are given to show the effectiveness and feasibility of the new fuzzy model and the new approaches.
URI: http://dx.doi.org/10.1166/jctn.2010.1633
http://hdl.handle.net/11536/31984
ISSN: 1546-1955
DOI: 10.1166/jctn.2010.1633
期刊: JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE
Volume: 7
Issue: 11
起始頁: 2453
結束頁: 2462
顯示於類別:期刊論文