摘要
针对输出信号经多频采样器传输到观测器端,考虑信息传输过程中会受到不确定的扰动,研究了复杂动态网络的自适应状态观测器设计问题。将多频采样过程描述为个概率已知的Bernoulli序列,采用输入时延的方法,将采样器的输出信号描述成时延信号。通过Lyapunov稳定性理论和随机分析方法,得到复杂动态网络自适应观测器的设计准则。复杂动态网络状态估计误差在零点的一个很小的邻域范围内。最后,通过一个数值仿真实例,验证了本文所提出的自适应观测器在多频采样条件下,能够很好地抑制信道扰动。
Considering some uncertain disturbances in the transmitting process, th^s paper focuses ot~ u,c design of adaptive state observer of complex dynamical networks （ CDN）, which stresses the issue of trans- mitting the multi-rate sampling data from samplers to state observer. More specifically, there are different sampling periods . Each of them satisfies Bernoulli distribution, and the probabilities of them are all known. In addition, the sampling periods are based on the approach of in-put delay, the scatter sampling data are transformed into continuous data. A new scheme for adaptive control is proposed to estimate the state of the CDN in a uncertain noisy communication environment. Based on the Lyapunov stability theory and the theory of stochastic process, the error of observation converges to the small neighborhood of the origin is obtained. Finally, a numerical example is provided to verify the effectiveness of the proposed method, thus demonstrating that the adaptive observer can restrain uncertain noises
出处
《南京邮电大学学报（自然科学版）》
北大核心
2016年第3期112-120,共9页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家自然科学基金(61374180
61203028)资助项目
关键词
状态观测器
复杂动态网络
自适应控制
多频采样
state estimator
complex dynamical networks
adaptive control
multi-rate sampling
