Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Friday Sessions
Zhu, Yuan
Univ. of Sci. & Tech. Beijing
How to improve the efficiency of animation production and reduce the
difficulties of animation development have become core issues in research
on animation technology. By the analysis of existing animation
design technology, three main processes of animation design have
been improved: model design, preservation and rendering. Instead
of individual modeling, the reconfigurable model design algorithm has
been used. In order to preserve efficiently, the common characteristic
of a class of things have been picked up to model in class level, then the
model should be divided into several modules. Abstraction on the basis
of gene sequences makes new model can be generated by dynamic
adjustment. Reconfigurable model design algorithm based on gene
sequence can improve the efficiency of model design, simplify the variable
quantity of data information, and reduce the space consumption of
storage.
◁ PFrC-29
Design Methods of General Fuzzy Systems as Function Approximators,
pp.815–819
Wang, Xiuhong
Yang, Zhenguang
Gao, Qian
Wei, Xinjiang
Ludong Univ.
Ludong Univ.
Ludong Univ.
Ludong Univ.
In this paper, design methods of general fuzzy systems as function approximators
are given respectively by the following three different conditions
to be approximated: 1. The formulas of the functions are known;
2. The formulas of the functions are unknown, but for any input of the
functions, we can get the corresponding output; 3. We only know limit
pairs of input-output data of the functions. Finally, an example is given
to show how to design a general fuzzy system to approximate a given
function by a required accuracy.
◁ PFrC-30
Fault Diagnosis Method of the Locomotive Brake Based on Wavelet
Analysis, pp.820–822
DING, Jian-bo
Zhejiang Univ. of Tech.
Proposed a locomotive brake fault diagnostic expert system approach,
by using wavelet multiscale edge detection principle to get fault symptom
extraction, and combined with the knowledge representation
method of weighted fuzzy production rule, in order to make the failure
symptoms and findings fuzzy and weight conclusions of fuzzy fault
symptoms, weight based, fuzzy rule inference algorithm by further diagnostic
reasoning, fault diagonosis of locomotive brake to solve the
uncertainty of the precess. A practical example indicates that the diagnosis
system can improve the real-time and veracity of the diagnosis
for air brake of diesel locomotive effectively.
◁ PFrC-31
Intelligent Search Algorithm for Modern Tobacco Agriculture, pp.823–
826
Wang, Deji
staff development of CNTC
In this paper, semantic cosine similarity based o n tobacco agriculture
ontology is introduced into SVM to cluster the web agriculture information.
Experiments proof that it is more efficient and powerful. The
final comparison between search engine based on the algorithm and
general search engines, also proof that the algorithm is effective and
accurate.
◁ PFrC-32
Distributed Control for Synchronization of Networked Lagrange Systems
via Estimated State Feedback, pp.903–908
Chen, Gang
Lin, Qing
Chongqing Univ.
Chongqing Univ.
This paper investigates the synchronization control problem for a group
of networked Lagrange systems without relative velocity measurements.
Distributed observers are proposed to estimate the neighbors’
velocities. Based on the estimated states, the distributed controllers
are designed to achieve the synchronization of the networked nonlinear
systems. In contrast to other approaches, the development in this paper
is suitable for the general directed communication topology, which
is only required to have a spanning tree. Simulation examples are included
to demonstrate the effectiveness of the proposed algorithms.
◁ PFrC-33
Configurations and Modelling of Networked Feedforward-Feedback
Control Systems, pp.909–913
Huang, Congzhi North China Electric Power Univ.,Beijing,
P.R.China
Bai, Yan
north china electric power Univ.
The concept of networked feedforward-feedback control system is proposed
based on practical industrial process control, and its configurations
as well as the development of its uniform model are investigated in
detail. Feedforward-feedback control system, wherein the control loops
are closed via real-time networks, is called networked feedforwardfeedback
control system(NFCS for short). Three different configurations
of NFCSs are proposed based on industrial process control and
the locations of networks are explicitly pointed out, respectively. The u-
niform closed-loop system models for the three different configurations
of NFCSs are developed via the augmented vector method, taking into
account the network-induced delays and data packet dropout simultaneously.
◁ PFrC-34
MIMO network control systems with asynchronous sampling based on
dividing the time slice, pp.925–930
Fan, Weihua
Chen, Xiaodu
Xie, Ronghua
Chen, Qingwei
Nanjing Univ. of Sci. & Tech.
nanjing Univ. of Sci. & Tech.
nanjing Univ. of Sci. & Tech.
Nanjing Univ. of Sci. & Tech.
The modeling and control of a class of MIMO networked control systems
are studied in this paper. First, for the problem of packet collisions
caused by the synchronous sampling of the sensor nodes in multi-loops
network control systems, the strategy of asynchronous sampling based
on dividing the time slice is proposed. By analyzing the data transmission
characteristics of networked control system with network-induced
delay at the case of asynchronous sampling strategy, a discrete mathematical
model of multi-loops networked control system is established.
With the Lyapunov function and the Linear Matrix inequalities, the sufficient
condition for asymptotic stability and output feedback control law
of the system are proposed. Finally, a numerical example and simulation
example based on True-time toolbox are given to verify the feasibility
and effectiveness of the method.
◁ PFrC-35
Constrained Kalman Filtering With Observation Losses, pp.937–941
Luo, Zhen
Fang, Huajing
Huazhong Univ. of Sci. & Tech.
Huazhong Univ. of Sci. & Tech.
In this paper, we consider networked constrained Kalman filtering with
observation losses. The observation losses of communication network
is modeled as an i.i.d. Bernoulli process. Based on physical consideration,
at each time step through projecting the unconstrained Kalman filter
solution onto the state constraint surface, the constrained estimation
can be derived, which significantly improves the prediction accuracy of
the filter. We study the statistical convergence properties of the error
covariance matrix, showing the existence of a critical value for the arrival
rate of the observation, beyond which a transition to an unbounded
state error covariance occurs. Simulations are provided to demonstrate
the effectiveness of the theoretical results.
◁ PFrC-36
Information consensus for multi-agent systems via nonlinear protocols,
pp.942–945
Zhai, Junyong
Qian, Chunjiang
Xu, Shouhuai
Southeast Univ.
Univ. of Texas at San Antonio
The Univ. of Texas at San Antonio
In multi-agent system, the communication topology of agent network
plays a very important role in its consensus problem. In this paper, we
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