Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Saturday Sessions
subsequently used for radio location. A system model is presented and
simulations are carried out that show that proposed method provides
MS position location quite accurately even in the presence of MAI.
◁ PSaB-12
A Soft Sensor Method Based on Integrated PCA, pp.4258–4263
Shao, Weiming
Tian, Xue-Min
China Univ. of Petrolieum
China Univ. of Petroleum
Feature extraction methods such as Kernel Principal Component Analysis
(KPCA) and Principal Component Analysis (PCA), are often used
for soft sensor modeling in industrial process with high dimensional data.
A kind of soft sensor method based on Integrated Principal Component
Analysis (Integrated PCA) is proposed for some weakness of
KPCA and that of PCA. This approach combines nonlinear information
extracted by KPCA with linear information extracted by PCA and it can
not only reduce the dimensionality of input data, but also make full use
of linear and nonlinear information. Partial Least Squares (PLS) is used
to obtain the final soft sensor model and Particle Swarm Optimization
(PSO) is applied to get the optimal parameters of Integrated PCA and
those of KPCA. Finally, the proposed method is applied to build soft
sensor models of diesel oil boiling point and other industrial objects
and is proved to have better ability of generalization by being compared
with other feature extraction methods.
◁ PSaB-13
Selection of Effective Singular Values based on least Squares Error
Spectrum, pp.4429–4434
GAO, Xue-jin
Cheng, Li
LIU, Guang-sheng
Beijing Univ. of Tech.
Beijing Univ. of Tech.
Beijing Univ. of Tech.
In order to solve the selection of effective singular values,first the characteristic
of the singular values of both ideal signals and noise signals
was analyzed, a determination method of least squares error was
proposed. Then the impact on signal de-noising by analyzing different
number of singular values, indicated that the number of effective
singular values were accurate and reliable by using the determination
method of least squares error. Finally, the method had been successfully
applied to the sensor signal,obtained the Feature curve with smaller
error and more accurate results in the determination of glucose concentration
. The results show that: the extracted signals have higher
SNR and better integrity.
◁ PSaB-14
Will scene information help realistic action recognition, pp.4532–4535
Chen, Xian-gan
Liu, Juan
Liu, Haihua
Wuhan Univ.
WuHan Univ.
South-Central Univ. for Nationalities
The question of scene information whether can help realistic action
recognition has been investigated in this paper. The salience region
of each frame in video was acquired by using Itti-Koch algorithm. The
information outside the salience region represented scene information.
Two action recognition methods were tested on the YouTube action
dataset. One method got rid of partial scene information, while the
other contained scene information. The obtained impressive results
showed that scene information can help realistic action recognition.
◁ PSaB-15
Position Control of an Electric Clutch Actuator, pp.2776–2781
Wang, Bin State Key Laboratory of Automotive Simulation &
Control, Jilin Univ.
Gao, Bingzhao
Chen, Hong
Zhang, Zhenwei
Yue, Hanqi
Jilin Univ.
Jilin Univ.
Jilin Univ.
State Key Laboratory of Automotive Simulation &
Control, Jilin Univ.
A nonlinear-feedforward-feedback controller is designed for an electric
clutch actuator, which adopts ball screw as the speed reduction mechanism.
Ball screw has high transmission efficiency. However, it does
not self-lock. Moreover, the nonlinear friction force, load force, and the
nonlinear characteristics of the motor drive circuit increase the difficulty
of the position control of the actuator. The designed controller contains
two parts: the feedforward controller designed by differential flatness
which can deal with the systems nonlinearities, and the feedback
controller designed by PID method which guarantees system stability.
Simulation result shows that, compared with pure PID controller, the
designed controller provides better performance especially in the case
of small displacement adjusting.
◁ PSaB-16
Stability Analysis of a Class of Hybrid Systems, pp.3971–3976
He, Fenghua
Yao, Yu
Zhang, Shuqi
Zhang, Peng
Harbin Inst. of Tech.
Harbin Inst. of Tech.
HIT
Harbin Inst. of Tech.
In this paper, the stability analysis problem of a class of hybrid system
which involves multiple subsystems and these subsystems interconnect
and interact with each other is considered. A stability analysis
approach is proposed and proved in which a Lyapunov function candidate
can be constructed in terms of that of subsystems. A numerical
example is given to show the effectiveness of the proposed method.
◁ PSaB-17
Application Research of Neural Networks in Fruit and Vegetable Harvesting
Robot, pp.1790–1795
Wu, Weirong
Ding, Shenping
suzhou industrial park Inst. of vocational Tech.
Suzhou Industrial Park Vocational Technical Inst.
Neural networks was used in the camera calibration of binocular stereo
vision , segmentation and recognition of fruit or vegetable images , fruit
or vegetable classification , orientation error amendment of fruit or vegetable
, obstacle avoidance of robot manipulator , sensor data fusion
about fruit and vegetable harvesting robot. The research results in all
the aspects mentioned above of fruit and vegetable harvesting robot
with neural networks were introduced in this article, and some the highlighted
issues were finally discussed. It is expected that this research
may be used as a step stone for further study in the area.
◁ PSaB-18
Guaranteed Cost Control for Polynomial Fuzzy time-delay Systems by
Sum-of-Squares Approach, pp.1806–1811
Li, Weihong
Wang, Weiqun
Nanjing Univ. of Sci. & Tech.
Nanjing Univ. of Sci. & Tech.
Guaranteed cost control of polynomial fuzzy time-delay systems is investigated
via a sum of squares (SOS) approach in this paper. Based
on polynomial Lyapunov-Kraovskii functional, guaranteed cost controller
and robust guaranteed cost controller, which minimize the upper
bound of the given performance function, are designed. The uncertainty
considered is norm-bounded type. Both of the design conditions
presented are in terms of SOS. Two examples are provided to show the
utility of the theoretical results obtained.
◁ PSaB-19
Fault Detection and Isolation for Switched Linear Systems: A Switched
Lyapunov Function Approach, pp.1812–1817
Zhao, Xingang Shenyang Inst. of Automation, Chinese Acad. of
Sci.
Li, Jian
Ye, Dan
Northeastern Univ.
Northeastern Univ.
This paper is concerned with the problem of fault detection and isolation
(FID) for discrete-time switched systems under an arbitrary switching
signal. A family of fault detection and isolation filters is designed. In
virtue of the frequency of the faults in a given range, the finite-frequency
H − performance for the switched system is firstly defined. Based on a
switched Lyapunov functional approach, a procedure of FID filters synthesis
is established by Linear matrix inequalities (LMIs), and the filter
gains are characterized in term of the solution of a convex optimization
problem. A numerical example is used to demonstrate the effectiveness
of the proposed design method.
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