http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Dongbing Tong,Wuneng Zhou,Han Wang 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.5
This paper discusses the exponential state estimation problem for stochastic complex dynamical networks involving multi-delayed and adaptive control. A new approach, very different to the linear matrix inequality (LMI) method, has been developed to solve the above problem. Meanwhile, some sufficient conditions are derived to ensure the exponential stability in pth moment for the dynamics of state estimator error. The feedback gain update law is found by the adaptive control technique. An il-lustrative example is provided to show the usefulness and effectiveness of the proposed design method.
Dongbing Tong,Liping Zhang,Wuneng Zhou,Jun Zhou,Yuhua Xu 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.3
In this paper, the problem of the adaptive synchronization control is considered for neural networkswith uncertainty and stochastic noise. Via utilizing stochastic analysis method and linear matrix inequality (LMI)approach, several sufficient conditions to ensure the adaptive synchronization for neural networks are derived. Bythe adaptive feedback methods, some suitable parameters update laws are found. Finally, a simulation result isprovided to substantiate the effectiveness of the proposed approach.
Wuneng Zhou,Yan Gao,Dongbing Tong,Chuan Ji,Jian’an Fang 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.4
In this letter, the analysis problem of adaptive exponential synchronization in pth moment is considered for neutral-type neural networks with time delays and Markovian switching. By utilizing a new nonnegative function and the M-matrix approach, several sufficient conditions to ensure the adaptive exponential synchronization in pth moment for neutral-type neural networks are derived. Via the adaptive feedback control techniques, some suitable parameters update laws are found. To illustrate the effectiveness of the M-matrix-based synchronization conditions derived in this letter, numerical example is provided finally.
Wuneng Zhou,Chuan Ji,Jinping Mou,Dongbing Tong,Yan Gao 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.5
This article focuses on the problem of adaptive target synchronization for the Wireless Sensor Networks (WSNs). By applying the LaSalle-type invariance principle and the M-matrix approach for stochastic differential delay equations with Markovian switching, several sufficient conditions to ensure adaptive target synchronization and adaptive exponential target synchronization in pth moment for WSNs with Markov delays and stochastic noises are derived. We further investigate the adaptive exponential target synchronization in probabilistic sense for the WSNs and obtain the almost sure adaptive exponential target synchronization. Via the adaptive feedback control techniques, some suitable parameters update laws are attained. We finally show some numerical simulations to illustrate the effectiveness of the results derived in this paper.