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首页> 外文期刊>Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on >Fuzzy Modeling and Synchronization of Two Totally Different Chaotic Systems via Novel Fuzzy Model
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Fuzzy Modeling and Synchronization of Two Totally Different Chaotic Systems via Novel Fuzzy Model

机译:基于新型模糊模型的两个完全不同的混沌系统的模糊建模与同步

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摘要

In this paper, a new fuzzy model is presented to simulate and synchronize two totally different and complicated chaotic systems, namely, 1) quantum cellular neural networks nanosystem (Quantum-CNN system) and 2) Qi system. Through the new fuzzy model, the following three main advantages can be obtained: 1) only two linear subsystems are needed; 2) the numbers of fuzzy rules can be reduced from $2^{ N }$ to $2 times N$ (comparing with the Takagi–Sugeno fuzzy model), where $N$ is the number of nonlinear terms; 3) fuzzy synchronization of two different chaotic systems with different numbers of nonlinear terms can be achieved with only two sets of gain $K$. There are two examples in numerical simulation results to show the effectiveness and feasibility of our new model.
机译:本文提出了一种新的模糊模型来模拟和同步两个完全不同和复杂的混沌系统,即1)量子细胞神经网络纳米系统(Quantum-CNN系统)和2)Qi系统。通过新的模糊模型,可以获得以下三个主要优点:1)仅需要两个线性子系统; 2)模糊规则的数量可以从 $ 2 ^ {N} $ 减少为 $ 2乘以N $ (与Takagi–Sugeno模糊模型相比),其中 $ N $ 是非线性项的数量; 3)仅使用两组增益 $ K $ 。数值模拟结果中有两个例子说明了我们新模型的有效性和可行性。

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