Delta算子框架下混沌系统的自适应滑模控制北大核心CSCD

针对DoS攻击和网络故障下的非线性耦合混沌系统,提出了一种Delta算子框架下自适应滑模控制方法.首先,对连续时间和离散时间的非线性耦合混沌系统,依据Delta算子理论,建立Delta算子框架下的统一模型.其次,对提出的Delta算子框架下的非线性混沌系统设计线性滑模面,并利用线性矩阵不等式方法给出滑模面存在的充分条件.再次,对上述系统提出自适应滑模控制器的设计方法,使之能够快速到达滑模面,实现在DoS攻击和网络故障下的非线性耦合混沌系统的鲁棒镇定.最后,仿真算例结果表明在所设计的自适应滑模控制器下,非线性耦合混沌系统状态稳定,并渐近趋向于零,说明了所提方法的可行性和有效性.     

粘弹性板混沌振动的输出变量反馈线性化控制

研究了粘弹性板混沌振动的控制问题·　应用非线性系统精确线性化控制理论导出了一类非仿射控制系统的非线性反馈控制律·　建立了描述材料非线性的粘弹性板运动的数学模型并利用Ｃａｌｅｒｋｉｎ 方法进行简化·　采用相空间曲线和频率谱密度函数说明了在特定参数条件下系统将出现混沌振动,并以位移为输出变量将混沌振动控制为给定的周期运动·     

Chen混沌系统的非线性全局同步控制

研究了Chen提出的一个新的混沌系统的混沌同步问题,利用非线性控制方法设计了三种混沌同步控制器,并用李雅普诺夫方法证明了在混沌控制器作用下,驱动、响应混沌系统可以实现全局同步.数值仿真结果表明,所设计的三种混沌控制器都能有效的实现混沌同步,并且具有很强的鲁棒性.     

一类含五次非线性恢复力的Duffing系统共振与分岔特性分析

考虑一类含有外激力和五次非线性恢复力的Duffing系统,运用多尺度法求解得到该系统的幅频响应方程,给出不同参数变化下的幅频特性曲线及变化规律,同时利用奇异性理论得到该系统在3种情形下的转迁集及对应的拓扑结构.其次确定系统的不动点,运用Hamilton函数给出该系统的异宿轨,在此基础上,利用Melnikov方法得到该系统在Smale马蹄意义下发生混沌的阈值.而后通过数值仿真给出了系统随外激力、五次非线性项系数变化下的动态分岔与混沌行为,发现存在周期运动、倍周期运动、拟周期运动及混沌等非线性现象.最后运用Lyapunov指数、相轨图和Poincaré截面等非线性方法对理论的正确性进行验证.上述研究结论为进一步提升对Duffing系统非线性特性及其演化规律的认识提供了一定的理论参考.     

基于Volterra自适应方法的水文混沌时间序列预测

Volterra泛函级数能够描述具有响应和记忆功能的非线性行为,一般用于非线性系统因果关系点对的预测,把Volterra自适应方法应用于水文混沌时间序列的预测研究是一个有意义的工作。论文针对水文系统的复杂性,基于混沌动力系统相空间重构技术,构建了水文混沌时间序列Volterra自适应预测方法,并采用NLMS算法调整滤波器参数,并就模型进行仿真计算,讨论了模型参数对预测精度的影响。直门达水文站月蒸发量混沌时间序列预测实验表明,水文混沌时间序列Volterra自适应预测方法,具有较好的预测精度和效果,拓展了水文预测报方法的研究途径。     

受扰不确定混沌系统的降阶修正函数投影同步

研究了具有不同阶数的受扰不确定混沌系统的降阶修正函数投影同步问题.基于Lyapunov稳定性理论和自适应控制方法,设计了统一的非线性状态反馈控制器和参数更新规则,使得混沌响应系统按照相应的函数尺度因子矩阵和混沌驱动系统的部分状态变量实现同步.方法考虑了实际系统中的模型不确定性和外界扰动,具有较强的实用性和鲁棒性.数值仿真证明了控制方法的有效性.     

不确定非自治混沌陀螺仪在非线性输入下的有限时间稳定性

陀螺仪是一个非常有趣,又是永恒的非线性非自治动力系统课题,它可以显示出非常复杂的动力学行为,如混沌现象.在一个给定的有限时间内,研究非线性非自治陀螺仪鲁棒稳定性问题.假设陀螺仪系统受到模型不确定的外部扰动而摄动,系统参数并不知道,同时考虑了非线性输入的影响.为未知参数提出了适当的自适应律.以自适应律和有限时间控制理论为基础,提出非连续有限时间控制理论,来研究系统的有限时间稳定性.解析证明了闭循环系统的有限时间稳定性及其收敛性.若干数值仿真结果表明,该文的有限时间控制法是有效的,同时验证了该文的理论结果.     

一类对称碰撞系统的间歇混沌控制方法

研究了对称碰撞系统的间歇混沌控制方法,将Hopf分岔控制思想应用于该系统上,对该类系统的混沌控制提供一个新的控制方法.这里以两自由度弹性双碰系统为探究对象,首先,建立两自由度弹性双碰系统的力学模型,并根据其运动特点将其分成4个阶段,建立了合适的Poincaré映射;然后,取定一个合适的定相位面,施加间歇线性控制律,并构建施加控制后的映射,根据映射的稳定性判据得到该系统混沌控制的显式条件;最后,分别对原系统和控制系统进行了数值模拟.计算结果表明,该控制方法能够很好地控制原系统的混沌运动,实现了预期目的,验证了该控制方法在弹性系统上的有效应用.该控制方法有利于提高系统的运行稳定性和使用寿命,具有一定的实际意义.     

一个新的四维节能减排系统的动力学分析及其控制

依据一个经济时期内节能减排、碳排放、经济增长和新能源的开发利用之间相互依存、相互制约的演化关系建立了一个新的四维节能减排动态演化模型,这是一类新的非线性微分系统,通过平衡点稳定性、系统的耗散性、Lyapunov指数谱等的分析,研究了系统的基本动力学行为,利用数值模拟的方法给出了系统的动力演化行为;利用线性反馈控制方法将四维节能减排系统的混沌态控制到原先不稳定的平衡点,给出了数值模拟结果,验证了理论分析的正确性.     

非线性网络控制系统的保性能控制

针对网络诱导时延小于一个采样周期的非线性网络控制系统,研究了系统的稳定性和保性能控制问题.对于T-S模糊模型描述的非线性被控对象,将时延的不确定性转化为系统参数的不确定性,从而将这一类非线性网络控制系统建模为具有参数不确定性的离散T-S模糊模型.基于建立的模型,提出了存在稳定保性能控制器的充分条件,并得出了相应的线性矩阵不等式(LMI)形式.最后通过对永磁同步电动机混沌系统进行控制和仿真研究,验证了所提出方法的有效性.     

A new method to control chaos in an economic system

In this paper, the method to control chaos by using phase space compression is applied to economic systems. Because of economic significance of state variable in economic dynamical systems, the values of state variables are positive due to capacity constraints and financial constraints, we can control chaos by adding upper bound or lower bound to state variables in economic dynamical systems, which is different from the chaos stabilization in engineering or physics systems. The knowledge about system dynamics and the exact variety of parameters are not needed in the application of this control method, so it is very convenient to apply this method. Two kinds of chaos in the dynamic duopoly output systems are stabilized in a neighborhood of an unstable fixed point by using the chaos controlling method. The results show that performance of the system is improved by controlling chaos. In practice, owing to capacity constraints, financial constraints and cautious responses to uncertainty in the world, the firm often restrains the output, advertisement expenses, research cost etc. to confine the range of these variables’ fluctuation. This shows that the decision maker uses this method unconsciously in practice.     

Analysis of decision-making in economic chaos control

In some economic chaotic systems, players are concerned about whether their performance is improved besides taking some methods to control chaos. In the face of chaos occurring in competition, whether one player takes controlling measures or not affects not only their own earning but also other opponents’ income. An output duopoly competing evolution model with bounded rationality is introduced in this paper. Using modern game theory, decision-making analyses about chaos control of the model are taken by taking aggregate profits as players’ payoff. It is found that the speed of players’ response to the market and whether the decisive parameters are in the stable region of the Nash equilibrium or not have a distinct influence on the results of the game. The impact of cost function’ type on results of the game is also found. The mechanism of influences is discovered by using numerical simulation.     

A simple adaptive feedback control method for chaos and hyper-chaos control

This paper investigates the problem of chaos and hyper-chaos control, and proposes a simple adaptive feedback control method for chaos control under a reasonable assumption. In comparison with previous methods, the present control technique is simple both in the form of the controller and its application. Several illustrative examples with numerical simulations are studied by using the results obtained in this paper. Study of examples shows that our control method works very well in chaos control.     

Chaos prediction and control of Goodwin’s nonlinear accelerator model

Chaos prediction and its control of the Goodwin model under the deterministic or stochastic excitation are studied theoretically and numerically. Applying the Melnikov technique, the threshold conditions for the occurrence of chaos are obtained theoretically. The stable and unstable manifolds of saddle are computed to verify the effectiveness of the analytical prediction in the deterministic case. Also, the safe basins are introduced to show how the externally stochastic perturbation affects the safety of the economic system as the noise amplitude increases. Finally, the analytical criterion of controlling chaos is derived via the delayed feedback control method. Numerical investigations including the top Lyapunov exponent, Poincare section, and phase portraits are carried out to demonstrate the validity and effectiveness of the theoretical results.     

Chaos control applied to heart rhythm dynamics

The dynamics of cardiovascular rhythms have been widely studied due to the key aspects of the heart in the physiology of living beings. Cardiac rhythms can be either periodic or chaotic, being respectively related to normal and pathological physiological functioning. In this regard, chaos control methods may be useful to promote the stabilization of unstable periodic orbits using small perturbations. In this article, the extended time-delayed feedback control method is applied to a natural cardiac pacemaker described by a mathematical model. The model consists of a modified Van der Pol equation that reproduces the behavior of this pacemaker. Results show the ability of the chaos control strategy to control the system response performing either the stabilization of unstable periodic orbits or the suppression of chaotic response, avoiding behaviors associated with critical cardiac pathologies.     

Controlling chaos for the dynamical system of coupled dynamos

This work is a tutorial on the different methods to control chaotic behaviour of the coupled dynamos system. Feedback and nonfeedback control techniques are proposed to suppress chaos to unstable equilibrium or unstable periodic solution. The stabilization of unstable fixed point of the chaotic behaviours is achieved also by bounded feedback method. Stability of the controlled systems are studied by Routh–Hurwitz criterion. Nonfeedback method and a derived method based on the delay feedback control are used to control chaos to periodic orbits. Numerical simulation results are included to show the control process of the different methods.     

Controlling the Cournot-Nash Chaos

The recently developing theory of nonlinear dynamics shows that any economic model can generate a complex dynamics involving chaos if the nonlinearities become strong enough. This study constructs a nonlinear Cournot duopoly model, reveals conditions for the occurrence of chaos, and then considers how to control chaos. The main purpose of this paper is to demonstrate that chaos generated in Cournot competition is in a double bind from the long-run perspective: a firm with a lower marginal production cost prefers a stable (i.e., controlled) market to a chaotic (i.e., uncontrolled) market, while a firm with a higher marginal cost prefers the chaotic market. Helpful remarks and comments by Ferenc Szidarovszky, Michael Kopel, Shahriai Yousefi, and three anonymous referees are gratefully acknowledged. Financial support from the Japan Ministry of Education, Culture, Sports, Science, and Technology, Grant-in-Aid for Scientific Research (B)15330037, and from Chuo University, Joint Research Grant 0382, is highly appreciated.     

Chaos control of Chen chaotic dynamical system

This paper is devoted to study the problem of controlling chaos in Chen chaotic dynamical system. Two different methods of control, feedback and nonfeedback methods are used to suppress chaos to unstable equilibria or unstable periodic orbits (UPO). The Lyapunov direct method and Routh–Hurwitz criteria are used to study the conditions of the asymptotic stability of the steady states of the controlled system. Numerical simulations are presented to show these results.     

技术创新积累效应的混沌模型及其政策条件

借助于长期经济增长混沌模型和有关理论,建立了产业系统演化过程中技术创新积累效应的混沌模型;模拟分析表明,这一遵从确定规则的模型,可以产生有规律的行为,也可产生无序的不确定行为即混沌行为,其中,政策力能起到重要作用.     

Complex nonlinear dynamics and controlling chaos in a Cournot duopoly economic model

Complex nonlinear economic dynamics in a Cournot duopoly model proposed by M. Kopel is studied in detail in this work. By utilizing the topological horseshoe theory proposed by Yang XS, the authors detect the topological horseshoe chaotic dynamics in the Cournot duopoly model for the first time, and also give the rigorous computer-assisted verification for the existence of horseshoe. In the process of the proof, the topological entropy of the Cournot duopoly model is estimated to be bigger than zero, which implies that this economic system definitely exhibits chaos. In particular, the authors observe two different types of economic intermittencies, including the Pomeau–Manneville Type-I intermittency arising near a saddle-node bifurcation, and the crisis-induced attractor widening intermittency caused by the interior crisis, which lead to the appearance of intermittency chaos. The authors also observe the transient chaos phenomenon which leads to the destruction of chaotic attractors. All these intermittency phenomena will help us to understand the similar dynamics observed in the practical stock market and the foreign exchange market. Besides, the Nash-equilibrium profits and the chaotic long-run average profits are analyzed. It is numerically demonstrated that both firms can have higher profits than the Nash-equilibrium profits, that is to say, both of the duopolists could be beneficial from a chaotic market. The controlled Cournot duopoly model can make one firm get more profit and reduce the profit of the other firm, and control the system to converge to an equilibrious state, where the two duopolists share the market equally.