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Conference Program of WCICA 2012

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<strong>Conference</strong> <strong>Program</strong> <strong>WCICA</strong> <strong>2012</strong><br />

the nodes have short communication radius. The network lifetime can<br />

be affected by the long width <strong>of</strong> networks. The network lifetime can be<br />

maximized when the nodes have long communication range.<br />

◮ SaB06-3 16:30–16:50<br />

Auction Based Task Assignment for Pursuit-Evasion Game in Wireless<br />

Sensor Network, pp.4435–4440<br />

Du, Rong<br />

Chen, Cailian<br />

Yang, Bo<br />

Guan, Xinping<br />

Shanghai JiaoTong Univ.<br />

Shanghai Jiao Tong Univ.<br />

Shanghai Jiao Tong Univ.<br />

Shanghai Jiao Tong Univ.<br />

In this paper, we address pursuit-evasion games with the auxiliary <strong>of</strong><br />

wireless sensor network. Wireless sensor network can provide global<br />

information, such as the positions <strong>of</strong> evaders, for pursuers to improve<br />

the performance. However, some ready strategies cannot be used directly<br />

because <strong>of</strong> the positioning errors <strong>of</strong> wireless sensor network. By<br />

analyzing the performance <strong>of</strong> Lion Strategy, A Lion-Mirror-Tackle Strategy<br />

is proposed for single evader model to assign the roles <strong>of</strong> pursuers<br />

and reduce the time and energy consumptions <strong>of</strong> capture. In the multipursuer<br />

multi-evaders model, evaders are assigned for several groups<br />

<strong>of</strong> pursuers and a decentralized and realtime assignment strategy<br />

based on auction process is proposed, to provide fast response to the<br />

motion <strong>of</strong> evaders. The simulation shows the efficiency <strong>of</strong> our algorithms.<br />

◮ SaB06-4 16:50–17:10<br />

Distortion Analysis for Delay Tolerant Data Collection for High-speed<br />

Wireless Sensor and Actor Networks, pp.4452–4457<br />

Liu, Yaxiong<br />

Chen, Cailian<br />

Yu, Hangchen<br />

Guan, Xinping<br />

Shanghai Jiao Tong Univ.<br />

Shanghai Jiao Tong Univ.<br />

Shanghai Jiao Tong Univ.<br />

Shanghai Jiao Tong Univ.<br />

In this paper, we propose to leverage high-speed rail as mobile actor to<br />

assist structural health monitoring (SHM) data collection and delivery<br />

for wireless sensor and actor networks (WSANs). Due to high density<br />

in the network topology, sensor observations have spatial and temporal<br />

correlation. With the spatiotemporal correlation, we first provide a twophase<br />

data collection scheme. In the first phase, the WSANs transmit<br />

the data to a sink node and then aggregate the data using the spatial<br />

correlation. In the second phase, when the high-speed train passing by<br />

the tunnel or the bridge, the sink node transmits the data to the train and<br />

then aggregate the data with consideration <strong>of</strong> the temporal correlation.<br />

Also because <strong>of</strong> the high speed mobility <strong>of</strong> the train, the communication<br />

link between the sink and the train may be fail, so we need to estimate<br />

the lost packet. We then estimate spatiotemporal distortion to denote<br />

the event collection’s reliability/fidelity. Through extensive simulation,<br />

we discuss several key elements that will affect the reliability.<br />

◮ SaB06-5 17:10–17:30<br />

Interacting Multiple Sensor Unscented Kalman Filter, pp.4409–4413<br />

Liu, Zhigang<br />

Wang, Jinkuan<br />

Northeastern Univ.<br />

Northeastern Univ.<br />

Due to the log-normal model <strong>of</strong> the received signal strength(RSS), the<br />

range measurements have variance proportional to their actual range,<br />

and so this results in degradation <strong>of</strong> the tracking performance with the<br />

range increasing. To deal with this problem, we consider the collaborative<br />

tracking procedure in a cluster as a Markov jump nonlinear system,<br />

and the design the interacting multiple sensor unscented Kalman filter(IMSUKF)<br />

algorithm via multiple measurement models in a cluster,<br />

which is different with the interacting multiple model(IMM) algorithm.<br />

This approach consists <strong>of</strong> three parts: one-step unscented Kalman filter<br />

sensor, probability update, and estimate fusion. Finally, simulation<br />

results show the effectiveness <strong>of</strong> the proposed method.<br />

◮ SaB06-6 17:30–17:50<br />

A measurements fusion filter for the multi-sensor system with correlated<br />

noises, pp.4458–4462<br />

Li, Shengwei<br />

Feng, Xiaoliang<br />

Henan Univ.<br />

Hohai Univ.<br />

Lu, Yazhou<br />

Henan Univ.<br />

Considering the sensor’s working environmental impact,the correlation<br />

<strong>of</strong> the system noise must be considered when fusing the measurements.<br />

The measurement fusion filtering method <strong>of</strong> a linear system with<br />

the correlation <strong>of</strong> measurement noises and the fusion time input noise<br />

and the correlation <strong>of</strong> measurement noises is researched in this paper.<br />

A centralized measurement fusion filtering method is present firstly, and<br />

then, a novel fusion measurement with low dimension is given based<br />

on the weighted least-square estimation theory. Utilizing a derived new<br />

measurement equation, a novel weighted measurement fusion filtering<br />

method is proposed in this paper. The final simulation illustrates the e-<br />

quivalent relation <strong>of</strong> the proposed measurement fusion filtering method<br />

and the optimal centralized measurement fusion method.<br />

SaB07 15:50–17:50 Room 303<br />

Advanced Control Algorithms and Applications (II)<br />

Chair: Sam, Yahaya<br />

Co-Chair: Guo, Wei<br />

Universiti Tech. <strong>of</strong> Malaysia<br />

Nanjing Univ. <strong>of</strong> Information Sci. & Tech.<br />

◮ SaB07-1 15:50–16:10<br />

A Novel Model Algorithmic Controller with Fractional Order PID Structure,<br />

pp.2517–2522<br />

Guo, Wei<br />

Song, Ying<br />

Zhou, Li<br />

Deng, Ling<br />

Nanjing Univ. <strong>of</strong> Information Sci. & Tech.<br />

Nanjing Univ. <strong>of</strong> Information Sci. & Tech.<br />

Nanjing Univ. <strong>of</strong> Information Sci. & Tech.<br />

Nanjing Univ. <strong>of</strong> Information Sci. & Tech.<br />

In this paper, a novel MAC controller with fractional order PID structure<br />

(called FOPID-MAC) is proposed, which combined with the advantages<br />

<strong>of</strong> both fractional order PID and MAC. By introducing steady-state error<br />

weighted items into predictive control performance index in a broad<br />

sense, the predictive control algorithm is rebuilt according to fractional<br />

order PID control. The integral and derivative orders <strong>of</strong> FOPID-MAC<br />

controller improve the design flexibility <strong>of</strong> MAC. Moreover, the influence<br />

<strong>of</strong> the integral and derivative orders on system performance is analyzed<br />

in time domain. The results <strong>of</strong> simulation with two illustrative examples<br />

(including EPA) show validity and good performances <strong>of</strong> the proposed<br />

FOPID-MAC controller, which grounds well for engineering application.<br />

◮ SaB07-2 16:10–16:30<br />

Path Planning based Quadtree Representation for Mobile Robot Using<br />

Hybrid-Simulated Annealing and Ant Colony optimization Algorithm,<br />

pp.2537–2542<br />

Zhang, Qi<br />

Ma, Jiachen<br />

Liu, Qiang<br />

Harbin Inst. <strong>of</strong> Tech. Harbin<br />

Harbin Inst. <strong>of</strong> Tech.<br />

Harbin Inst. <strong>of</strong> Tech.<br />

In this paper, a new path planning approach combining framedquadtree<br />

representation with hybrid-simulated annealing (SA) and ant<br />

colony optimization (ACO) algorithm called SAACO is presented to improve<br />

the efficiency <strong>of</strong> path planning. The utilization <strong>of</strong> framed-quadtree<br />

representation is for improving the decomposed efficiency <strong>of</strong> the environment<br />

and maintaining the representation capability <strong>of</strong> maps. Simulated<br />

annealing and ant colony optimization were applied for robot path<br />

planning problem respectively and there have been plenty <strong>of</strong> accomplishments<br />

in recent year. Lots forms <strong>of</strong> SA depend on random starting<br />

points and how to efficiently <strong>of</strong>fer better initial estimates <strong>of</strong> solution sets<br />

automatically is still a research hot point. We use ACO to supply a good<br />

initial solution for SA runs. According to the theoretical analysis and<br />

results obtained from simulation experiment, the presented SAACO algorithm<br />

can solve successfully the mobile robot path planning problem,<br />

which leads robot to seek the specific destination in the free-collision<br />

path and increases the speed <strong>of</strong> the robot navigation. Some excellent<br />

properties <strong>of</strong> this method have also been proved that is robustness,<br />

self-adaptation.<br />

◮ SaB07-3 16:30–16:50<br />

Point-to-Point Trajectory Tracking with Two-Degree-<strong>of</strong>-Freedom Robust<br />

Control for a Non-minimum Phase Electro-hydraulic System, pp.2661–<br />

2668<br />

Ghazali, Rozaimi<br />

Universiti Tun Hussein Onn Malaysia<br />

162

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