Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Friday Sessions
rameter estimation is conceptually simple. The new algorithm makes
use of a time varying gain matrix for unknown parameter estimation,
which simplifies the initialization and parameter tuning. In order to establish
the global exponential convergence of the adaptive observer,
a persistent excitation condition is required. Consequently, the global
exponential convergence for simultaneous estimation of states and unknown
parameters is formally established following a simple procedure.
A numerical example is presented to illustrate the performance of this
adaptive observer.
◁ PFrC-75
A hybrid genetic algorithm/fuzzy dynamic programming approach to
two-machine flowshop problems, pp.2399–2402
Zhang, Hong
Li, Jun
Zhang, Desheng
shandong Inst. of commerce & Tech.
shandong Inst. of commerce & Tech.
shandong Inst. of commerce & Tech.
Multistage flowshop problems are considered to be fuzzy optimization
problems, whose objective is to minimize total completion time of the
two-machine flowshop problem with fuzzy processing times and fuzzy
makespan. A solution procedure consisting of a genetic algorithm and
fuzzy dynamic programming is proposed to obtain a near-optimal solution
for the fuzzy model. The main advantage of this approach lies
in the GA’s capability to find the global optimum or quasi-optimums
and the FDP’s high performance to get a local optimum. Finally, an
illustrative example is given to evaluate performance and to clarify the
effectiveness of the proposed solution procedure.
◁ PFrC-76
Parameters Optimization and Dynamic Characteristic Analysis of Maglev
Spindle Control System, pp.2403–2406
Deng, Liang
Song, Fangzhen
SONG, Bo
Univ. of Jinan
Univ. of Jinan
Univ. of Jinan
On the basis of the maglev spindle structure design, the PID control
system is designed and its mathematical model is established. The
influence of the PID control parameters on the response performance
of the system is studied by using the MATLAB SISO. The global optimization
design of the PID control system is achieved by using SRO
(Simulink Response Optimization) module, and the system response
performance of the maglev spindle achieves the best. It provides a
more efficient and fast method for the parameter selection of maglev
spindle control system.
◁ PFrC-77
Simulation Design and Application of Attack-Defense System in the Sea
Based on HLA, pp.2417–2420
Pan, Changpeng
Chen, Jie
Yan, Jiangang
department of command engineering
502unit,NAEI
department of automatic control engineering
301unit,NAEI
Institution department of command engineering
502unit,NAEI
Considering the attack-defense characters in the sea under the information
circumstance, the formation air defense simulation system
is designed in the framework of HLA based on Multi-Agent System.
To simulation subjects of the whole system, the conception of
semi-autonomous/ autonomous, aggregate/platform level Agent is introduced,
which improves the fidelity, convenients for hereditability in
the application, minifies the cost of design of large-scale distributed
simulation system.
◁ PFrC-78
Study of An Improved Algorithm for Arterial Traffic Coordinated Control
Considering The Effect of Turning-Traffic Flow, pp.2421–2425
Liu, Shijie
LIU, Xiao-He
Liu, Jiuming
Xie, Qiuyan
South China Univ. of Tech.
First Aviation College of the Air Force in Xinyang,
Henan Province
South China Univ. of Tech.
South China Univ. of Tech.
Xu, Jian-min
South China Univ. of Tech.
An improved algorithm for arterial traffic coordinated control was described,
The algorithm used optimization of the maximum bandwidth
for the upper target􀋈and used the optimization of the minimum
delay of the turning traffic flow for the lower target, to get the best
phase difference. A mixed integer linear programming was built based
on MAXBAND method. And evaluation result using Vissim simulation
shows improvements in average delay and stops with the improved algorithm
for arterial traffic coordinated control.
◁ PFrC-79
Hybrid Load Forecasting Method Based on Fuzzy Support Vector Machine
and Linear Extrapolation, pp.2431–2435
Jiang, Xin
Liu, Xiaohua
Gao, Rong
Ludong Univ.
Ludong Univ.
ludong Univ.
For the load affected by many factors and near the far smaller feature, a
hybrid load forecasting method based on fuzzy support vector machine
and linear extrapolation is proposed. The similar day is selected by the
integrated effects of meteorology and time, and the fuzzy membership
of the corresponding training sample is obtained by normalized similarity.
Using the fuzzy support vector machine to predict the maximum and
minimum loads of the forecasting day, then the load is combined with
the load curve trend obtained by the linear extrapolation based on the
similar day. The simulation results show that the proposed method can
improve the predicting accuracy.
◁ PFrC-80
Study on On-ramp Control Strategy of Urban Freeway Based on Fuzzy
Control, pp.2512–2516
Wang, Shiming
Xu, Jianmin
Luo, Qiang
South China Univ. of Tech.
South China Univ. of Tech.
South China Univ. of Tech.
The on-ramp control strategies are classified after expounding mechanism
of ramp control strategies of urban freeway. The applicability
is summarized respectively based on advantages and disadvantages
of each strategy. A new on-ramp control method of urban freeway is
proposed by using the fuzzy control algorithm and the support vector
machine algorithm, which can satisfy with demands which ramp control
strategies should change with real-time changing of traffic condition. At
last, some ramp control strategies are given by using control algorithm
in this paper, based on the survey data of a main road in Guangdong
province. The new control strategies and previous control strategies
are applied to ramp control respectively, and new control strategies can
satisfy dynamic changes of traffic condition by analyzing survey data,
and have a better effect on the on-ramp control than old control strategy.
◁ PFrC-81
The Solution of The Fuzzy Volterra Integral Equations of The Second
Kind, pp.2556–2561
Gong, Huarong
Yantai Engineering Tech. College
Fuzzy mathematical analysis and integral characteristics and composite
trapezoidal formulae were used to study the solution of the Fuzzy
volterra integral equations of the second kind. First, -cut method of
Fuzzy set was used to transform the fuzzy integral equations into the interval
number equations, then the calculation rules of the interval numbers
and the integral characteristics were used to transform the interval
number equations into the interval number equations, then the calculation
rules of the interval numbers and the integral characteristics were
used to transform the interval number equations into the deterministic
integral equations, at last, the analytical methods or composite trapezoidal
formulae were utilized to solve the deterministic integral equations
mentioned above, the given examples show the availability and
the effectiveness of the methods introduced here.
◁ PFrC-82
Intelligence Fusion Based Control Strategy of Purifying System for
Drinking Source Water, pp.2592–2596
Wang, Jing
Chongqing College of Electronic Engineering
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