Conference Program of WCICA 2012

Conference Program WCICA 2012
Ma, Chao
Capital Univ. of Economics & Business
In order to single out pedestrian crossing from real-life scenarios, this
paper does the priori and likelihood modeling in Bayesian framework
based on defined block-based Markov random field. By obtaining its
maximum a posteriori estimation of its central location and direction it
focuses on the crossing based on coarse to fine technique and covariance
matrix descriptor. Finally, it spreads around the central point and
gets its scope by randomly generating some rectangles. Experimental
results illustrates its role in real application.
◮ SuA06-5 14:50–15:10
Robot Aided Object Segmentation without Prior Knowledge, pp.4797–
4802
Li, Kun
Meng, Max, Q.-H.
Chen, Xijun
The Chinese Univ. of Hong Kong
The Chinese Univ. of Hong Kong
The Chinese Univ. of Hong Kong
In robot perception system, distinguishing objects from complex environment
is a difficult problem if without prior information. In this article,
we study three cases that a robot may encounter in real-world application,
no movable object, one object, or multiple objects, and then
provide an object segmentation strategy through object manipulation
for each condition. The result shows that this method can provide sufficient
prior information for accurate objects segmentation from robot’s
observation. Through this unsupervised algorithm, a robot can learn
objects around reliably.
◮ SuA06-6 15:10–15:30
Adaptive Switching Anisotropic Diffusion Model for Universal Noise Removal,
pp.4803–4808
Wang, Wei
Lu, Peizhong
Fudan Univ.
Fudan Univ.
In this paper, a novel method is presented for universal noise removal
from corrupted digital images based on Adaptive Switching Anisotropic
Diffusion (ASAD) model. The originality of ASAD is utilizing Local
Difference Factor (LDF) to identify impulse noise or Gaussian noise.
Initially, LDF is computed from intensity values of pixels in a neighborhood
using weighted statistics. Subsequently, directional weighted median
(DWM) and anisotropic diffusion (AD) are adopted to filter noise
respectively. In addition, we use LDF to control the diffusion process
adaptively incorporating with local gradient. As LDF indicates the local
statistical property of image pixels, image edges and details can be
finely preserved while filtering out noise. Simulation results show that
the restored images by our method have high peak signal-to-noise ratio
and great image quality by efficiently removing salt-and-pepper noise,
uniform impulse noise, Gaussian noise and mixed noise.
◮ SuA06-7 15:30–15:50
The Recognition of EEG With CSSD and SVM, pp.4741–4746
Li, Mingai
Lu, Chanchan
Beijing Univ. of Techology
Beijing Univ. of Techology
With time-varying volatility and individual differences,EEG signals are
difficult to analyse. The recognition performance of the traditional feature
extraction is lowered due of the difficulty in tracking the dynamic
changes of EEG. In this paper the Common Spatial Subspace Decomposition
(CSSD) algorithm was improved(named Improved-CSSD),
putting forward a kind feature extraction method which has the performance
of adaptive ability.This method introducded control parameters,which
added the training samples of the assistants to that of the target
subject in some way .Finally, based on the data of the international BCI
competition database, some simulation experiments were conducted
by recognizing EEG signals by Improved-CSSD and SVM. Compared
with the traditional CSSD, classification accuracy was increased about
8.26% by Improved-CSSD. The result showed that the approach, proposed
in this paper, had a good adaptability and a low time loss.
SuA07 13:30–15:50 Room 303
Advanced Control Algorithms and Applications (III)
Chair: Zou, Yuanyuan
Co-Chair: LIU, Jinkun
East China Univ. of Sci. & Tech.
Beihang Univ.
◮ SuA07-1 13:30–13:50
On-line Squaring of Non-square Hard Constraints of Input Variable by
Coordinate Alternating in Model Predictive Control, pp.2529–2536
LUO, Xiong-lin
Wang, Shubin
China Univ. of Petroleum
China Univ. of Petroleum, Beijing
Commonly there exit many square amplitude constraints in process
control. These constraints are high and low limits of input variable, input
variable variation and output variable. For the requirement of process or
control, there may be a few non-square hard constraints of input variable
in addition. These non-square constraints are composed of the
amplitude limits of linear function of input variables, and they cannot
be solved by MPC directly. To ensure the implementation of MPC, a
method to transform non-square constraint into square constraint online
by coordinate alternating is proposed. By using the previous step
input value and the high limit of input variable variation, some appropriate
treatments of these non-square constraints are made. Simulation
results of two system control problems show the effectiveness of the
proposed method.
◮ SuA07-2 13:50–14:10
Sliding Mode Control with Extended State Observer for the Boiler
Steam Pressure of Fuel-steam Pressure System, pp.2570–2575
CUI, Zhiqiang
LIU, Jizhen
LIU, Jinkun
China Power Investment Corporation
North China Electric Power Univ.
Beihang Univ.
The boiler steam pressure is an important parameter reflecting the s-
tate of boiler operation. Considering the disturbance and uncertainty of
the fuel-steam pressure system, only using pressure signal, an extended
state observer is designed, and sliding mode controller is designed
based on disturbance and uncertainty compensation. From Lyapunov
stability analysis, it is shown that the closed system stability can be
guarantee. Simulation results are presented to validate the good system
robustness and good tracking performance of the control system.
◮ SuA07-3 14:10–14:30
A predictive Energy Management Strategy for Hybrid Electric Bus
Based on Greedy Algorithm, pp.2782–2787
Pan, Zheng
Song, Chunyue
Zhejiang Univ.
Zhejiang Univ.
Bus runs on a fix route, which makes it possible to design a predictive
Energy Management Strategy (EMS) for hybrid electric bus to achieve
better overall efficiency. A new predictive EMS is proposed based on
the prediction of the bus’s velocity profile. Firstly, the bus’s velocity
profile is predicted via historic driving data and real-time driving data,
which provide the future power demand. Then according to the prediction
of the velocity profile, the torque spilt is optimized by greedy
algorithm. The obtained EMS requires very little computational time
and is suitable for real-time implement. Simulation shows that the fuel
economy of the presented approach is better than the electric assist
control strategy in the Advanced Vehicle Simulator (ADVISOR).
◮ SuA07-4 14:30–14:50
Predictive control design subject to multiple missing measurements,
pp.2701–2705
Zou, Yuanyuan
Niu, Yugang
East China Univ. of Sci. & Tech.
East China Univ. of Sci. & Tech.
This paper investigates the problem of predictive control for control
systems with multiple missing measurements. An extended stochastic
model is introduced to describe and compensate missing data. The
state feedback control scheme is designed to minimize an upper bound
on the expected value of an infinite horizon quadratic performance objective
at each sampling instant. It is shown that the present scheme
can guarantee the stochastic stability of the closed-loop system.
◮ SuA07-5 14:50–15:10
An approach of constraint boundaries tuning based on shadow price for
two-layered predictive control, pp.2685–2690
Zou, Tao
Xiang, Weilong
Zhejiang Univ. of Tech.
Zhejiang Univ. of Tech.
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