Conference Program of WCICA 2012

Conference Program WCICA 2012
consider a new consensus nonlinear protocol for networks of dynamic
agents that allow the agents to agree in a distributed and cooperative
fashion. We consider the network with external disturbance. We use
a Lyapunov approach to prove that the asymptotical consensus can be
reached. Finally, we perform a simulation study to verify the efficiency
of the proposed scheme.
◁ PFrC-37
Studied on Anti-interference Based on Dynamic Surface Control,
pp.996–998
Gao, Qian
He, Naibao
Huaihai Inst. of Techology
Huaihai Inst. of Techology
The longitudinal control of NSV (Nearspace Vehicle)under uncertainty
is studied. An approach of backstepping control based on adaptive
dynamic surface is proposed. RBFNN is used to approximate the unknown
compound disturbance and the robust item is introduced into the
virtual controller to cancel the influence of compound disturbance and
improve the robustness and adaptation of the system. Simulation results
show that the proposed strategy possesses good robustness and
briefness.
◁ PFrC-38
Estimation of CAN Bus Reliability Based on Real-time Performance,
pp.999–1004
Chen, Xi
Jin, Wen
Zhang, Huiqun
Lv, Weijie
Tianjin Univ.
Tianjin Univ.
Tianjin Univ.
Tianjin Univ.
With the rapid development of CAN Bus, many scholars and engineers
focus on how to evaluate the reliability of CAN Bus. It is widely accepted
that the calculation of the probability of successful transmission
is an effective method to analyze both the real-time performance and
message correctness. However it was proved that the probability of
successful transmission is not applicable to calculating the reliability of
timely delivery because of the statistical correlation. And hence artificial
neural network was induced to simulation to calculate the reliability.
The method was based on the analysis of international and national
standard and protocol of CAN Bus. The reliability was approximated
by the artificial neural network and the simulation was adopted to both
calculation of the reliability in short period in harsh electromagnetic interference
environment and validation of artificial neural network. The
method reduced consumption of both data and time when the simulation
was only utilized for the calculation of reliability over long time.
◁ PFrC-39
Synchronization for a class of Complex Dynamical Networks, pp.1010–
1013
Li, Changbin
He, Yi
Wu, Aiguo
Tianjin Univ.
Tianjin Univ.
Tianjin Univ.
This paper is concerned with the global synchronization problem for a
class of complex dynamic networks. We first give a sufficient condition
for the synchronization of complex networks with any connection. Then
in the case that the network connection is directed and has a spanning
tree, the global synchronization problem is further investigated. These
results are easy to be used for the synchronization of various complex
dynamical networks
◁ PFrC-40
Networked H infty Filtering for T-S Fuzzy Systems Based on Event-
Triggered Scheme, pp.1037–1042
Wang, Qi
Jia, Xinchun
Chi, Xiaobo
He, Dezhi
Ma, Weiwei
Shanxi Univ.
Shanxi Univ.
Shanxi Univ.
Shanxi Univ.
Shanxi Univ.
This paper studies H∞filtering problem for T-S fuzzy systems in network
environment. Considering the limitations of network communication
bandwidth, a new discrete event-triggered communication scheme
is introduced to avoid the transmission of unnecessary information.
Whether or not the measured output is sent depends on the sampled
output of the recent transmission and the error between the current
sampled output and the sampled output of the recent transmission.
By Lyapunov-Krasovskii functional approach, a sufficient condition for
the existence of the delay-dependent networked H∞filter is established
in terms of linear matrix inequalities for filtering error systems. The
proposed event-triggered communication scheme not only reduces the
use of communication bandwidth, but also ensures the desired system
performance. Moreover, a co-design method of the filter and eventtriggered
communication scheme is provided. Finally, a numerical example
is given to show the effectiveness of the proposed approach.
◁ PFrC-41
Quantized Feedback Stabilization of a class of Networked Control Systems
with Delay and Packet Dropout, pp.1043–1047
Ren, Jun
Zhou, Chuan
Guo, Yu
Chen, Qingwei
Nanjing Univ. of Sci. & Tchnology
Nanjing Univ. of Sci. & Tech.
Nanjing Univ. of Sci. & Tech.
Nanjing Univ. of Sci. & Tech.
In this paper, the problem of quantized feedback stabilization for a class
of networked control systems with time delay and packet dropout is investigated.
First, a primitive quantizer is applied to the communication
channel and the lower bounds of bit rate is given to guarantee convergence
of quantization error. Second, dynamic quantization error is
represented by quantization range via coordinate transformation, then
stabilization problem of closed-loop networked control systems is studied
and a state feedback controller design method is given to guarantee
the closed-loop system mean-square stable through Lyapunov stability
theory and linear matrix inequality techniques.
◁ PFrC-42
Short-term Load Forecasting Based on Least Square Support Vector
Machine Combined with Fuzzy Control, pp.1048–1051
Gao, Rong
ludong daxue
A short-term load forecasting method based on least square support
vector machine (LS-SVM) combined with fuzzy control was proposed.
The peak load and valley load was forecasted by LS-SVM model which
was built by analysis of load data and meteorological data. Then the
peak load and valley load was tuned by fuzzy rules which has been
built by forecasting error data . One day and one week ahead load has
been got by combing peak load and valley load with similar day load
change coefficient. The load data and meteorological data of Shan
Dong electrical company of 2008 was utilized to test the forecasting
model. The simulation result shows the proposed method can improve
the predicting accuracy.
◁ PFrC-43
Development on Gas Leak Detection and Location System Based on
ZigBee, pp.429–432
Duan, Ping
Ding, Chengjun
Hebei Univ. of Tech.
Hebei Univ. of Tech.
The Gas Leak Monitoring and Warning and Location System is based
on ZigBee Wireless Sensor Networks (WSN), it is used on production
safety for the Petrochemical Industry. Gas-sensitive sensors and Zig-
Bee WSN are used in this system. ZigBee is reliable, low-cost, lowpower
and low-maintenance wireless network, it is very suitable for the
real-time data detective of the potential risk areas. The computer analyses
the data from the monitoring site of the WSN and displays on the
window. In this way, the system can give an early warning of a leak
accident. Also, the system can collect the data of the leak accident and
locate the leakage point. These functions can not achieve so perfectly
with the former leak detection systems.
◁ PFrC-44
A Hierarchical Iterative Closest Point Algorithm for Simultaneous Localization
and Mapping of Mobile Robot, pp.3652–3656
Zhang, Qizhi
Beijing Information Sci. & Tech. Univ., China
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