Prediction-free control of spatiotemporal extreme events by local parameters perturbation

来源 :第十二届全国非线性振动暨第九届全国非线性动力学和运动稳定性学术会议 | 被引量 : 0次 | 上传用户:dmj_66666
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
The problem of controlling extreme events in spatially extended dynamical systems based on the observation only is studied in this paper. The control method we proposed locally changes parameters of the system in the vicinity of the localized high-amplitude events continuously,without needs of system model and prediction. Considering the specific Complex Ginzburg-Laudau equation based model,we provide theoretical analysis for choosing the effective parameters to achieve the control. Numerical simulations and statistic analysis demon-strate that extreme events can be efficiently suppressed by our strategy with a low cost. In particular,the tolerant limit of observation error and time delay in applying the control are also addressed.
其他文献
会议
会议
针对微/纳机电系统(MEMS/NEMS)中广泛应用的轻敲模式原子力显微镜,建立Lennard-Jones力场作用下的针尖—样品物理模型和系统动力学方程,应用现代微分方程与分岔理论,分析了微尺
研究斜拉桥桥塔-斜拉索-桥面的三自由度耦合振动模型及其1:2内共振问题。计及拉索的拉伸刚度,倾角及空气阻尼等因素,将拉索简化为两端有拉杆支撑的质量块,同时将桥面和桥塔分别
Two critical but overlooked issues in the physics of nonlocal elastic stress field theory for nanobeams are discussed:(I) why does the presence of increasing non
A semi-analytical procedure for studying,both qualitatively and quantitatively,stability and bifurcations of limit cycles in higher-dimensional nonlinear autonomo
In this paper an almost-Poisson structure is constructed for the non-self-adjoint dynamical systems,which can be decomposed into a sum of a Poisson bracket and t
First-spiking dynamics and control of a mathematically modeled neuron under the stimulation of colored noise is investigated. For the uncontrolled model,the stoc
本文用分析的方法研究了n-维Filippov系统的grazing-sliding分叉的局部动力性状。在只有一个非连续面的Filippov系统中,一个周期轨道与非连续面中的sliding 区域相切时会产生s
By means of Man(a)sevich-Mawhin(M-M) continuation theorem,we will continue to investigate a thin plate system {D▽4ω+pha2ω/at2-a2ωa2φ/ax2ay2-a2ωa2φ/ax2ay2+2