提出了电力系统混沌振荡自适应控制的一种方法。
An adaptive control method for chaos oscillation in power system is put forward in this paper.
结果发现可产生混沌振荡的非线性电路方程参数不是唯一的。
Demonstrated that nonlinear equation parameters of chaos oscillation is not exclusive.
电力系统是典型的非线性系统，存在着复杂的混沌振荡，它威胁着系统的安全稳定运行。
Power system is a typical nonlinear system where complicated chaotic oscillations exist and threaten the secure and stable operation of power systems.
对糖酵解混沌振荡过程进行动态辨识建模，结果表明本算法具有较好的辨识效果和收敛性。
The dynamic glycolysis chaotic oscillation process is identified using VBL network, which shows that this algorithm has better convergence property than other algorithms.
如果判断出系统存在混沌现象，则设计模糊神经网络预测控制器，实现了对电力系统混沌振荡的预测控制。
If there is chaos oscillation in the power systems, a fuzzy-neural forecast controller is designed and forecast control is realized to the chaos oscillation.
由于电力系统的日趋复杂和庞大，电力系统除了因负阻尼引起的低频振荡外，还存在PSS不能消除的混沌振荡的危机。
Because of power systems being more and more complicated, besides low frequency oscillation by minus damp, there is also chaos oscillation that can not be dispelled by PSS in power systems.
文中研究了发电机励磁顶值和PSS回路对电力系统的振荡失稳和混沌现象的影响。
In this paper, effects of hard lim it of the excitation and the loop of power system stabilizer PSS to the system oscillatory instability and chaos are studied.
讨论了混沌被控制到单周期态时系统输出的振荡周期的变化规律与控制量的关系。
Relationship between vibration period of the system and control variables is discussed when chaos is controlled into single periodic state.
用关联函数作为反馈，可使系统从混沌到定态或混沌态到周期振荡，甚至可以实现从混沌态到指定的定态输出。
The correlation functions can be used as feedback signal to control the systems from chaos to steady state, chaos to periodic oscillation, or even from chaos to preset output.
研究了在给定参数时系统的复杂动力学行为，并设计实现了该混沌系统的振荡电路。
The complicated dynamic behavior is studied when the parameters are given, and the oscillator circuit of the chaotic system is designed.
周期振荡与混沌运动相互嵌套、交替出现。
It is found that periodic oscillation and chaotic motion are inlaid with each other and appear alternately.
时滞是影响系统稳定的重要因素之一，甚至带来振荡、分叉以及混沌等动力学行为。
Time delays may affect the stability of the system, even lead to instability, oscillation or chaos phenomena.
时滞、参数不确定性和随机噪声都将在相当大的程度上影响神经网络的整体性能，产生振荡行为或其它失稳现象甚至出现混沌现象。
So, time delays, parameter uncertainty and stochastic disturbances may affect the stability of the system, even lead to instability, oscillation or chaos phenomena.
时滞、参数不确定性和随机噪声都将在相当大的程度上影响神经网络的整体性能，产生振荡行为或其它失稳现象甚至出现混沌现象。
So, time delays, parameter uncertainty and stochastic disturbances may affect the stability of the system, even lead to instability, oscillation or chaos phenomena.
应用推荐