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      • KCI등재

        Resilient Filtering for Delayed Markov Jump Neural Networks via Event-triggered Strategy

        Weifeng Xia,Yongmin Li,Zuxin Li,Shuxin Du,Bo Li,Wenbin Chen 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.10

        This paper deals with the event triggered filtering problem for a class of delayed discrete-time Markov jump neural networks, where a resilient filter with parameter uncertainties is adopted. The aim of this paper is to design a suitable filter which ensures that the filtering error system is stochastically stable and satisfies a prescribed mixed passivity and H∞ performance. Sufficient conditions for solvability of such a problem are developed. Basedon the obtained conditions, an explicit expression of the desired resilient filter is proposed. Finally, an example is presented to show the usefulness of the proposed scheme.

      • KCI등재후보

        An Optimal ODAM-Based Broadcast Algorithm for Vehicular Ad-Hoc Networks

        ( Weifeng Sun ),( Feng Xia ),( Jianhua Ma ),( Tong Fu ),( Yu Sun ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.12

        Broadcast routing has become an important research field for vehicular ad-hoc networks (VANETs) recently. However, the packet delivery rate is generally low in existing VANET broadcast routing protocols. Therefore, the design of an appropriate broadcast protocol based on the features of VANET has become a crucial part of the development of VANET. This paper analyzes the disadvantage of existing broadcast routing protocols in VANETs, and proposes an improved algorithm (namely ODAM-C) based on the ODAM (Optimized Dissemination of Alarm Messages) protocol. The ODAM-C algorithm improves the packet delivery rate by two mechanisms based on the forwarding features of ODAM. The first distance-based mechanism reduces the possibility of packet loss by considering the angles between source nodes, forwarding nodes and receiving nodes. The second mechanism increases the redundancy of forwarding nodes to guarantee the packet success delivery ratio. We show by analysis and simulations that the proposed algorithm can improve packet delivery rate for vehicular networks compared against two widely-used existing protocols.

      • KCI등재

        A new linear cutting experimental machine for disc-cutter rock breaking with high-pressure water jets assisted

        Weifeng Han,Jie Fu,Xingchen Luo,Lu Guo,Yi-Min Xia,Shan He 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.6

        Aiming at the low rock-breaking efficiency of TBM disc cutters in tough rock environments, A new experimental machine combined with the high-pressure water jet rock-breaking method was designed. It can flexibly change the cutting parameters of the water jet, such as spray position, spray height, pressure, etc. Moreover, the three-direction load of the disc cutter during the rock-breaking process can be obtained accurately by strain testing. The rock-breaking experiment reached the following conclusions. The experimental machine can meet the design function. In this study, the normal and rolling forces when the disc cutter breaks rock are significantly lower than the traditional, 26.90% and 28.39%, respectively. The lateral force increased slightly, about 31.17%. Although the energy consumption of water-jet-assisted is higher than the traditional rock-breaking method, the volume of broken rock per unit of time is approximately 5.85 times that of the traditional. It is feasible to increase the energy cost to increase the excavation speed. On the rock surface after the water jet experiment, a rock ridge appears on the rolling trajectory of the disc cutter, which is not conducive to further breaking the rock. The cutting depth of the water jet needs to be adjusted to reduce the height of the rock ridge.

      • KCI등재

        Collaborative Optimization Design of Event-based Asynchronous Filter for Discrete-time T-S Fuzzy Markov Jump Systems

        Huiying Chen,Weifeng Xia,Zheng-Guang Wu,Zuxin Li 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.3

        This article is primarily concerned with the collaborative optimization design issue of the asynchronousfilter and the event-based trigger for discrete-time nonlinear Markov jump systems modeled by the Takagi-Sugenofuzzy model. In the network environment, an event-based trigger is introduced to reduce communication consumption while the hidden Markov model approach is utilized to express the asynchronous phenomenon between thefilter and the plant. Based on this framework, using the parameter-dependent Lyapunov function and matrix inequality techniques, the H∞ and L2 −L∞ asynchronous filter design schemes are developed such that the resultingfiltering error dynamic system can be randomly mean square stable and satisfy a preset noise attenuation performance. Furthermore, an iterative optimization algorithm is presented to collaboratively solve the optimal parametersof the filter and the trigger. At last, a tunnel-diode circuit is employed to verify the validity of our design schemes.

      • KCI등재

        Cross-Layer Resource Allocation in Multi-interface Multi-channel Wireless Multi-hop Networks

        Wei Feng,Suili Feng,Yongzhong Zhang3,Xiaowei Xia 한국전자통신연구원 2014 ETRI Journal Vol.36 No.6

        In this paper, an analytical framework is proposed forthe optimization of network performance through jointcongestion control, channel allocation, rate allocation,power control, scheduling, and routing with theconsideration of fairness in multi-channel wireless multihopnetworks. More specifically, the framework modelsthe network by a generalized network utilitymaximization (NUM) problem under an elastic link datarate and power constraints. Using the dual decompositiontechnique, the NUM problem is decomposed into foursubproblems — flow control; next-hop routing; rateallocation and scheduling; power control; and channelallocation — and finally solved by a low-complexitydistributed method. Simulation results show that theproposed distributed algorithm significantly improves thenetwork throughput and energy efficiency compared withprevious algorithms.

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