Yang Hongyong

Sampling control on collaborative flocking motion of discrete-time system with time-delays

Sampling control of multi-rate for flocking motion is researched in this paper. For discrete-time multi-agent systems with communication delays, a distributed sampling control protocol applying individual local information is proposed. Basing on Lyapunov stability theory, a energy function is designed, and collaborative flocking motion of multi-agent systems is studied. Finally, simulation examples show the effectiveness of the proposed multi-rate sampling protocol.

Consensus of Multi-Agent Systems with Prestissimo Scale-Free Networks

In this paper, the relations of the network topology and the moving consensus of multi-agent systems are studied. A consensus-prestissimo scale-free network model with the static preferential-consensus attachment is presented on the rewired link of the regular network. The effects of the static preferential-consensus BA network on the algebraic connectivity of the topology graph are compared with the regular network. The robustness gain to delay is analyzed for variable network topology with the same scale. The time to reach the consensus is studied for the dynamic network with and without communication delays. By applying the computer simulations, it is validated that the speed of the convergence of multi-agent systems can be greatly improved in the preferential-consensus BA network model with different configuration.

Internet network model based on fluid and bandwidth

Based on the Internet self-organized dynamic process, an Internet structure model is presented. When servers are being selected in the Internet, not only the fluid and the bandwidth, but also the distance is needed to be considered. In the self-organized evolution model, the capability of servers is applied to decide the choice of the bandwidth, and the lattice distance of the Kleinberg network model is employed to define the distance of the servers. By applying the theoretical deduction, the time-varying equation of weighted value (the flowing), strength (the capability of servers), and degree (the load of links) is obtained. Both theoretical analysis and numerical simulation show that the degree distribution and the strength distribution of the network model follow the power-law degree. Finally, the effects of the model parameters on the network dynamics are studied by using the numerical simulations.

Internet Adaptive Active Queue Management Algorithm

Based on the system of Internet congestion control, an adaptive network controller is established as active queue management (AQM) algorithm to adjust the congestion marked possibility at the links, whose parameters is auto-tuned by applying the minimization of an integral criterion for adapting the change of the network. By comparing with those existent AQM schemes in the simulations, the adaptive AQM algorithm has the better robustness for the loading perturbation.

Stateless overlay multicast with in-packet bloom filters

Abstract Due to the difficulty of deploying Internet protocol (IP) multicast on the Internet on a large scale, overlay multicast has been considered as a promising alternative to develop the multicast communication in recent years. However, the existing overlay multicast solutions suffer from high costs to maintain the state information of nodes in the multicast forwarding tree. A stateless overlay multicast scheme is proposed, in which the multicast routing information is encoded by a bloom filter (BF) and encapsulated into the packet header without any need for maintaining the multicast forwarding tree. Our scheme leverages the node heterogeneity and proximity information in the physical topology and hierarchically constructs the transit-stub overlay topology by assigning geometric coordinates to all overlay nodes. More importantly, the scheme uses BF technology to identify the nodes and links of the multicast forwarding tree, which improves the forwarding efficiency and decreases the false-positive forwarding loop. The analytical and simulation results show that the proposal can achieve high forwarding efficiency and good scalability.

Numerical calculation and analysis of 3D transient temperature field for transverse flux tubular linear machine

This paper investigates the thermal characteristics of the transverse flux tubular linear motor, including numerical calculation and temperature rise in the continuous reciprocating motion. Firstly, it estimates the various components of heat sources i.e. electromagnetic losses, including core loss in the stator as well as copper loss and eddy-current losses in the mover, and then presents the heat parameters according to the convective heat exchanges. Secondly, it establishes numerical model of the three-dimensional for the transient temperature field in transverse flux tubular linear motor. The validity of the numerical analysis is proved by the temperature rise in the continuous reciprocating motion test.

Formation control of second-order multi-agent with diverse delays

In this paper, a consensus algorithm of multi-agent second-order dynamics system is proposed. The formation control of mobile multi-agent system is studied by introducing the communication delays and input delays. A consensus result is obtained by the hypothesis of directed network topology with globally reachable node, and a sufficient condition to ensure the formation control of the delayed system is presented by applying generalized Nyquist criterion. Finally, the validity of the results is shown by computer simulation.

Network traffic capability analysis on local-world model

With the development of Internet, Internet is playing a more and more important role in our life. Many kinds of emerging applications, such as VOD, Net-meeting etc, require the higher QoS for Internet. Based on complex networks theory, the structure of Internet is analyzed. We describe the networks structure of Internet with local-world model. Through simulating the process of data transport in networks, the influences of the buffer capacity and the CPU velocity of hub nodes on the networks traffic are studied.

Simulation study on congestion control in diverse complex network models

The studies of the complex network have opened out the internal essence of many phenomena in real world. With the expansion of Internet application, the factors to influence Internet QoS are more and more concerned. In paper, based on the theories of complex network, the congestion control how to affect the network QoS is studied. By analyzing the models of random network, BA scale-free network and local-world network, it is investigated that how the biggest power nodes and biggest betweeness nodes are to affect the network congestion. In the simulations, the robustness and frangibility of the three models are studied by applying different control schemes to the central router node.

Consensus of mobile agents with time-delays

Consensus of mobile multi-agents system is a question with practical significance in the complex dynamics system. In this paper, a mobile agents discrete-time system is studied with the communication delay and the hypothesis of fixed undirected and connected topology. Applying generalized Nyquist criterion, the mobile agents delayed algorithm in discrete-time system is analyzed, and a sufficient condition is obtained to ensure the consensus of the system. Finally, many computer simulations are used to show the validity of the results.