托卡马克装置三次系统的Lyapunov量计算

主要研究托卡马克装置三次系统的Lyapunov量计算问题,给出一般平面多项式系统到其基本复形式之间的转换及其转换公式;利用Lyapunov量复算法在Maple计算程序下,计算出该三次一般系统的Lyapunov量,得到原点是其一阶细焦点的结论.

Bautin系统的Lyapunov量复算法

Lyapunov量(及与之等价的焦点量)在平面向量场的定性理论和分岔理论中占有非常的地位对研究微分方程的稳定性有重要作用;它是判断原点是否为细焦点或中心的一种经典手段;也可以用来判断由退化Hopf分岔所产生的极限环个数,与著名的Hilbert第16问题有密切的关系。Lyapunov量复算法是得到焦点的一种好方法。本文主要研究Bautin系统的Lyapunov量复算法。借助于计算工具Maple数学软件,运用Lyapunov量复算法计算了这一系统的Lyapunov量,并证明了细焦点的阶数最高为3。本文的研究所具有的优点是采用有效简捷的算法,给出相关结果的新的证明。本文结果可用于该系统在原点的极限环个数的判定,对该系统的极限环分岔研究有重要的理论指导意义。

Lyapunov量复算法在奇点类型判定中的应用

应用Lyapunov量复算法判定两类系统的奇点类型.采用Maple数学软件,根据Lyapunov量复算法计算两类系统的Lyapunov量,得出系统一中原点的最高阶细焦点阶数为1及原点是一不稳定细焦点,判定出系统二的实奇点类型,得出系统二中原点是中心.

4类平面多项式微分系统的Lyapunov量复算法

为了研究平面多项式微分系统的Lyapunov量复算法和原点的类型,通过Lyapunov量复算法计算得出4类微分系统的Lyapunov量;得到前2类系统的原点成为中心的充分条件和原点成为最高阶细焦点的阶数,同时判断在不同参数数据时最高阶细焦点的稳定性;讨论加单扰动项和双扰动项的后2类系统的Lyapunov量的复计算。结果表明:原点成为前2类系统的最高阶细焦点的阶数分别为4和3;在不同的控制参数组时后2类系统的原点类型为中心、一阶稳定细焦点和一阶不稳定细焦点。

四次平面多项式系统的Lyapunov量复算法

本文研究了一类缺二次项的四次平面多项式复系统的Lyapunov量的复算法和Maple符号计算程序.给出Maple计算软件计算Lyapunov量的流程图,运用Maple程序计算出该四次复系统的前九个Lyapunov量,本文结果可用于判定系统在原点的极限环个数,对平面多项式系统的多极限环分岔的研究具有重要理论指导意义.

Oil–water two-phase flow pattern analysis with ERT based measurement and multivariate maximum Lyapunov exponent

Oil–water two-phase flow patterns in a horizontal pipe are analyzed with a 16-electrode electrical resistance tomography(ERT) system. The measurement data of the ERT are treated as a multivariate time-series, thus the information extracted from each electrode represents the local phase distribution and fraction change at that location. The multivariate maximum Lyapunov exponent(MMLE) is extracted from the 16-dimension time-series to demonstrate the change of flow pattern versus the superficial velocity ratio of oil to water. The correlation dimension of the multivariate time-series is further introduced to jointly characterize and finally separate the flow patterns with MMLE. The change of flow patterns with superficial oil velocity at different water superficial velocities is studied with MMLE and correlation dimension, respectively, and the flow pattern transition can also be characterized with these two features. The proposed MMLE and correlation dimension map could effectively separate the flow patterns, thus is an effective tool for flow pattern identification and transition analysis.

Application of Lyapunov exponent algorithm in balise signal chaotic oscillator detection

To improve the detection accuracy of the balise uplink signal transmitted in a strong noise environment,we use chaotic oscillator to detect the balise uplink signal based on the characteristics of the chaotic system that is sensitive to initial conditions and immune to noise.Combining with the principle of Duffing oscillator system used in weak signal detection and uplink signal feature,the methods and steps of using Duffing oscillator to detect the balise signal are presented.Furthermore,the Lyapunov exponent algorithm is used to calculate the critical threshold of the Duffing oscillator detection system.Thus,the output states of the system can be quantitatively judged to achieve demodulation of the balise signal.The simulation results show that the chaotic oscillator detection method for balise signal based on Lyapunov exponent algorithm not only improves the accuracy and efficiency of threshold setting,but also ensures the reliability of balise signal detection.

Lyapunov-Krasovskii functional based power system stability analysis in environment of WAMS

In order to analyze power system stability in environment of WAMS(wide area measurement system),a new steady state stability model with time-varying delay was proposed for power system.The factors of exciter and power system stabilizer with delay were introduced into analytical model.To decrease conservativeness of stability analysis,an improved Lyapunov-Krasovskii functional was constructed,and then a new delay-dependent steady state stability criterion for power system,which overcomes the disadvantages of eigenvalue computation method,was derived.The proposed model and criterion were tested on synchronous-machine infinite-bus power system.The test results demonstrate that Lyapunov-Krasovskii functional based power system stability analysis method is applicable and effective in the analysis of time delay power system stability.

两类五次平面多项式系统的中心判定

Lyapunov量在平面微分系统的定性理论和分岔理论中占有非常重要的地位,它是判断原点是否为细焦点或中心的一种经典手段,也可以用来判断由退化Hopf分岔所产生的极限环个数,与著名的Hilbert第16问题有密切的关系。主要研究两类五次平面多项式系统的中心判定问题。运用Lyapunov量复算法借助于Maple数学程序计算出两类系统在原点的Lyapunov量,得到原点成为中心的判定条件。

一类覆冰悬索退化系统的中心判定

讨论一类二自由度覆冰悬索结构模型两种退化系统的中心判定.首先通过运用多尺度方法对二自由度覆冰悬索结构模型的两种退化系统进行摄动分析,得出对应的5次平均方程,然后把平均方程转化为复方程,借助Lyapunov量复算法判定得出原点是中心.

INTERNET TRAFFIC DATA FLOW FORECAST BY RBF NEURAL NETWORK BASED ON PHASE SPACE RECONSTRUCTION

Characteristics of the Internet traffic data flow are studied based on the chaos theory. A phase space that is isometric with the network dynamic system is reconstructed by using the single variable time series of a network flow. Some parameters, such as the correlative dimension and the Lyapunov exponent are calculated, and the chaos characteristic is proved to exist in Internet traffic data flows. A neural network model is construct- ed based on radial basis function （RBF） to forecast actual Internet traffic data flow. Simulation results show that, compared with other forecasts of the forward-feedback neural network, the forecast of the RBF neural network based on the chaos theory has faster learning capacity and higher forecasting accuracy.

一个酶催化反应系统的局部分岔分析

讨论一个酶催化反应系统的局部分岔.首先得到该系统只有1个或2个孤立平衡点,或者一条奇线,并给出了所有平衡点的定性性质.进一步分析了孤立平衡点在非双曲情形下发生的分岔,包括跨临界分岔和Hopf分岔,通过计算Lyapunov量得出该系统中细焦点阶数为1.最后利用数值模拟验证了所得结论.

Guaranteed cost control of networked control systems under limited communication capacity and variable sampling

The problem of guaranteed cost control for the networked control systems(NCSs) with time-varying delays, time-varying sampling intervals and signals quantization was investigated, wherein the physical plant was continuous-time one, and the control input was discrete-time one. By using an input delay approach and a sector bound method, the network induced delays, quantization parameter and sampling intervals were presented in one framework in the case of the state and the control input by quantized in a logarithmic form. A novel Lyapunov function with discontinuity, which took full advantages of the NCS characteristic information, was exploited. In addition, it was shown that Lyapunov function decreased at the jump instants. Furthermore, the Leibniz-Newton formula and free-weighting matrix methods were used to obtain the guaranteed cost controller design conditions which were dependent on the NCS characteristic information. A numerical example was used to illustrate the effectiveness of the proposed methods.

Chaotic Control of Network Traffic

This paper presents a chaotic control method on network traffic. By this method, the chaotic network traffic can be controlled to pre-assigned equifibrium point according to chaotic prediction and the Largest Lyapunov Exponent （LLE） of the traffic on congested link is reduced, thereby the probability of traffic burst and network congestion can be reduced. Numerical examples show that this method is effective.

Chatter free sliding mode control of a chaotic coal mine power grid with small energy inputs

An augmented proportional-integral sliding surface was designed for a sliding mode controller. A chatter free sliding mode control strategy for a chaotic coal mine power grid was developed. The stability of the control strategy was proven by Lyapunov stability theorem. The proposed sliding mode control strategy eliminated the chattering phenomenon by replacing the sign function with a saturation function, and by replacing the constant coefficients in the reaching law with adaptive ones. An immune genetic algorithm was used to optimize the parameters in the improved reaching law. The cut-in time of the controllers was optimized to reduce the peak energy of their output. Simulations showed that the proposed sliding mode controller has good, chatter flee performance.

Generation of Bell states via Lyapunov control on a two-qubit system with an anisotropic XY Heisenberg interaction

We demonstrate that an arbitrary Bell state can be achieved in a two qubit anisotropic Heisenberg XY chain via Lyapunov control. During the whole process, we only need to apply an external field along a given direction to a single qubit. This control strategy is effective for all initial states in the four-dimensional Hilbert space where the target state is asymptotically stable. The effects of imperfections on the fidelity for the target state such as Gaussian leakage of local control and localized dephasing of individual spins are also considered.

Entropy method of measuring and evaluating periodicity of quasi-periodic trajectories

This paper presents a method for measuring the periodicity of quasi-periodic trajectories by applying discrete Fourier transform （DFT） to the trajectories and analyzing the frequency domain within the concept of entropy. Having introduced the concept of entropy, analytical derivation and numerical results indicate that entropies increase as a logarithmic function of time. Periodic trajectories typically have higher entropies, and trajectories with higher entropies mean the periodicities of the motions are stronger. Theoretical differences between two trajectories expressed as summations of trigonometric functions are also derived analytically. Trajectories in the Henon-Heiles system and the circular restricted three-body problem （CRTBP） are analyzed with the indicator entropy and compared with orthogonal fast Lyapunov indicator （OFLI）. The results show that entropy is a better tool for discriminating periodicity in quasiperiodie trajectories than OFLI and can detect periodicity while excluding the spirals that are judged as periodic cases by OFLI. Finally, trajectories in the vicinity of 243 Ida and 6489 Golevka are considered as examples, and the numerical results verify these conclusions. Some trajectories near asteroids look irregular, but their higher entropy values as analyzed by this method serve as evidence of frequency regularity in three directions. Moreover, these results indicate that applying DFT to the trajectories in the vicinity of irregular small bodies and calculating their entropy in the frequency domain provides a useful quantitative analysis method for evaluating orderliness in the periodicity of quasi-periodic trajectories within a given time interval.

GLOBAL INPUT-TO-STATE STABILIZATION WITH QUANTIZED FEEDBACK FOR DISCRETE-TIME PIECEWISE AFFINE SYSTEMS WITH TIME DELAYS

In this paper, global input-to-state stabilization with quantized feedback for discrete-time piecewise affine systems （PWA） with time delays are considered. Both feedback with time delays and feedback without time delays are considered. Piecewise quadratic ISS-Lyapunov functions are adopted. Both Lyapunov-Razumikhin and Lyapunov-Krasovskii methods are adopted. The theorems for global input-to-state stabilization with quantized feedback of discrete PWA systems with time delays are

Vector Field Based Sliding Mode Control of Curved Path Following for Miniature Unmanned Aerial Vehicles in Winds

In this paper, a curved path following control algorithm for miniature unmanned aerial vehicles（UAVs） in winds with constant speed and altitude is developed. Different to the widely considered line or orbit following, the curved path to be followed is defined in terms of the arc-length parameter, which can be straight lines, orbits, B-splines or any other curves provided that they are smooth. The proposed path following control algorithm, named by VF-SMC, is combining the vector field（VF） strategy with the sliding mode control（SMC） method. It is proven that the designed algorithm guarantees the tracking errors to be a bounded ball in the presence of winds, with the aid of the Lyapunov method and the BIBO stability. The algorithm is validated both in Matlab-based simulations and high-fidelity semi-physical simulations. In Matlab-based simulations, the proposed algorithm is verified for straight lines, orbits and B-splines to show its wide usage in different curves.The high-fidelity semi-physical simulation system is composed of actual autopilot controller, ground station and X-Plane flight simulator in-loop. In semi-physical simulations, the proposed algorithm is verified for B-spline path following under various gain parameters and wind conditions thoroughly.All experiments show the accuracy in curved path following and the excellent robustness to wind disturbances of the proposed algorithm.

Finite-time stabilization of switched dynamical networks with quantized couplings via quantized controller

This paper concerns the stabilization of switched dynamical networks with logarithmic quantization couplings in a settling time.The switching sequence is constrained by hybrid dwell time. Controller is designed by using limited information. Due to the quantization and switching, traditional finite-time analysis methods cannot be utilized directly. By designing multiple Lyapunov functions and constructing comparison systems, a general criterion formulated by matrix inequalities is first given. Then specific conditions in terms of linear matrix inequalities are established by partitioning the dwell time and using convex combination technique. An optimal algorithm is proposed for the estimation of settling time. Numerical simulations are given to verify the effectiveness of the theoretical results.