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( Yujia Ge ),( Yurong Nan ),( Yi Chen ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.4
For an energy harvesting sensor network, when the network lifetime is not the only primary goal, maximizing the network performance under environmental energy harvesting becomes a more critical issue. However, clustering protocols that aim at providing maximum information throughput have not been thoroughly explored in Energy Harvesting Wireless Sensor Networks (EH-WSNs). In this paper, clustering protocols are studied for maximizing the data transmission in the whole network. Based on a long short-term memory (LSTM) energy predictor and node energy consumption and supplement models, an uneven clustering protocol is proposed where the cluster head selection and cluster size control are thoroughly designed for this purpose. Simulations and results verify that the proposed scheme can outperform some classic schemes by having more data packets received by the cluster heads (CHs) and the base station (BS) under these energy constraints. The outcomes of this paper also provide some insights for choosing clustering routing protocols in EH-WSNs, by exploiting the factors such as uneven clustering size, number of clusters, multiple CHs, multihop routing strategy, and energy supplementing period.
Liang Tao,Qiang Chen,Yurong Nan 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.2
In this paper, an adaptive sliding mode control incorporating with a nonlinear disturbance observer isproposed for a class of second-order nonlinear systems with unknown parameters and matched lumped disturbance. A double hyperbolic reaching law with chattering-free characteristic is first constructed, and an adaptive slidingmode controller is designed to guarantee the satisfactory tracking performance and fast error convergence. Thechattering problem is eliminated by means of the infinitely approaching equilibrium point instead of crossing it byemploying two hyperbolic functions. In order to identify the unknown parameters accurately, an adaptive parametricupdate law is presented through constructing a set of auxiliary filtered variables. Then, a nonlinear disturbanceobserver is proposed to improve the tracking performance and compensate for the lumped disturbance includingperturbations and uncertainties. The stability analysis is provided by the Lyapunov stability theory, and a numericalsimulation on a mass-spring damper system is given to demonstrate the effectiveness of the proposed method.
Qiang Chen,Miaomiao Gao,Liang Tao,Yurong Nan 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.9
In this paper, an adaptive fixed time parameter estimation and synchronization control scheme is proposedfor multiple robotic manipulators with unknown parameters and lumped disturbances. A mean coupling synchronization error is defined by averaging all the tracking errors of multiple robotic manipulators, and an adaptive fixed time synchronization control scheme is proposed to guarantee that both the tracking error and the synchronization error can simultaneously converge to zero within a fixed time, which means that the upper bound of the settling time is independent of the initial conditions. Moreover, an adaptive parameter estimation law is developed through constructing auxiliary filtered variables to achieve the accurate estimation of the unknown system parameters. Comparative simulations are provided to validate the effectiveness of the proposed scheme.