Network-based passive estimation for switched complex dynamical networks under persistent dwell-time with limited signals
Network-based passive estimation for switched complex dynamical networks under persistent dwell-time with limited signals
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DOI：
10.1016/j.jfranklin.2020.08.037
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发表时间：
2020-09
期刊：
影响因子：
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通讯作者：
Yudong Wang;Xiaohui Hu;Kaibo Shi;Xiaona Song;Hao Shen
中科院分区：
文献类型：
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作者：
Yudong Wang;Xiaohui Hu;Kaibo Shi;Xiaona Song;Hao Shen
本文研究了一类受量化影响的切换复杂动态网络的状态估计问题，假设切换过程遵循持续驻留时间切换规则。其中，上述切换规则描述了复杂动态网络中不同参数之间的切换。同时，对于基于网络的模型，在从传感器到估计器的通信信道中，不可避免地要考虑量化。为了跟踪目标系统中部分不可访问的信息，彻底重建状态估计器。值得关注的是，利用一些简单的矩阵变换方法、线性矩阵不等式和Lyapunov稳定性理论，可以得到一组充分条件，以进一步确保所得到的误差动态是全局一致指数稳定的，并且满足无源性。最后验证了所求状态估计器增益的适用性，进一步说明了所提出设计方法的有效性。
In this paper, the state estimation issue for a set of switched complex dynamic networks affected by quantization is studied, in which the switching process is assumed to follow persistent dwell-time switching regulation. Thereinto, the switching regulation aforementioned describes the switchings among different parameters on complex dynamic networks. Meanwhile, for the network-based model, in the communication channels from the sensor to the estimator, quantization is inevitable to be taken into consideration. To track partially inaccessible information in the target system, a state estimator is thoroughly reconstructed. Intensive attention is that a set of sufficient conditions can be derived by using some simple matrix transformation methods, linear matrix inequality and Lyapunov stability theory, to further assure the error dynamic obtained is globally uniformly exponentially stable and meets passive property. The serviceability of the state estimator gains solved is finally verified and the effectiveness of the proposed design approach is further illustrated.