Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Saturday Sessions
networks. Thus some questions arises: What is the relation between
strength of impulsive signal and the impulsive interval? How do the
chosen pinning nodes affect the dynamics of the network? In this paper,
a synchronization criterion is derived for impulsive dynamical networks
for pinning control, and clear relations between the strength of
impulsive signal, the impulsive interval, and pinning nodes are provided.
Numerical examples are given at last to show the effectiveness of
results.
◮ SaA11-5 14:50–15:10
Modelling Complex Software Systems via Weighted Networks,
pp.3533–3537
WANG, Beiyang
Lu, Jinhu
Wuhan Univ.
Chinese Acad. of Sci.
It is well known that many large-scale software systems show the typical
characteristics of complex networks. However, some recent research
results indicate us that some essential features of general software
networks topology are different from the corresponding functions
of real-world software systems. To bridge the above gap, this paper
aims at developing a weighted network model to model the practical
large-scale software systems from the partial dependency of software
systems. Based on the proposed model, we further investigate the statistical
characteristics of several representative software systems. Furthermore,
we compare the traditional general software network model
and the proposed weighted software network model based on two software
systems.
SaB01 15:50–17:50 Room 203A
Optimal Control and Optimization
Chair: Chen, Michael Z. Q.
Co-Chair: Han, Chunyan
The Univ. of Hong Kong
Univ. of JInan
◮ SaB01-1 15:50–16:10
Multi-objective optimization for a conventional suspension structure,
pp.1235–1240
Hu, Yinlong
Chen, Michael Z. Q.
Nanjing Univ. of Sci. & Tech.
The Univ. of Hong Kong
This paper investigates the multi-objective optimization of ride comfort,
suspension deflection and tyre grip performance measures for a conventional
suspension structure by deriving the analytical solutions for
a quarter-car model. The optimization results are compared with two
other configurations, one having the same complexity in construction
but employing an inerter while the other being the simplest suspension
network with one damper and one spring only. The motivation is to
investigate the possibility and situations where the inerter can be replaced
by some cheaper element such as the spring. The results show
that for a low static stiffness and in the situations that ride comfort is
less important than suspension deflection and tyre grip (such as race
cars), the considered structure would be a reasonable alternative for
the one employing an inerter.
◮ SaB01-2 16:10–16:30
Optimal control of quantum systems under different manipulation conditions,
pp.2091–2096
Wei, Hua
Zhou, Wei
Dai, Yi
Zou, Fengxing
Zhang, Ming
NUDT
NUDT
NUDT
NUDT
NUDT
In this paper, we explicitly explore how to manipulate single qubits by
one-rotation controls under different manipulation conditions. It is revealed
that one can construct control Hamiltonian and adjust the controls
to manipulate quantum states. Furthermore, we comprehensively
discuss how to optimize control magnitude in terms of a new kind of
weighted time-energy performance. A comparison has been made a-
mong the optimal performances under different manipulation conditions.
Three concrete examples indicate the feasibility and efficiency of this
approach on optimal control of two-level quantum systems.
◮ SaB01-3 16:30–16:50
Optimal Filtering on Continuous-time systems with Markovian Communication
Delays and packet dropouts, pp.2027–2032
Han, Chunyan
Wang, Wei
Zhang, Huanshui
Univ. of JInan
Shandong Univ.
Shandong Univ.
This paper is concerned with the optimal filter problems for networked
systems with random transmission delays, while the delay process is
modeled as a multi-state Markov chain which incorporates the data
losses naturally. By defining an indicator function of the random delay,
the optimal filter problems are transformed into the ones of the standard
Markov jumping parameter measurement system. We first present an
optimal Kalman filter, which is with time-varying, path-dependent filter
gains, and the number of the paths grows exponentially in time delay.
Thus an alternative optimal Markov jump linear filter is presented, in
which the filter gains just depend on the present value of the Markov
chain, and as a result, the obtained filter is again a Markov jump linear
system. It can be further shown that the proposed Markov jump linear
filter converges to a constant-gain filter under appropriate assumptions.
◮ SaB01-4 16:50–17:10
FFSM Trajectory Optimization via Multiphase Gauss Pseudospectral
Method, pp.1615–1620
Duan, Guang-Ren
Li, Shi
Harbin Inst. of Tech.
Harbin Inst. of Tech.
Based on the multiphase Gauss pseudospectral method, this paper
presents a new optimal control method to solve the nonholonomic trajectory
planning of the free-floating space manipulator (FFSM) system.
The general case of path planning problem with constraints is formulated
as a standard multiphase Bolza problem. Accuracy is improved by
increasing degree of the polynomial approximation in particular mesh
intervals based on the relative errors of states. Numerical simulation results
demonstrate that the proposed method is effective and available
for solving the FFSM trajectory optimization problem.
◮ SaB01-5 17:10–17:30
A novel Varible Gain Unscented kalman filter and its application in the
Integrated Navigation system, pp.1160–1165
Zhang, Limin
Chen, Zengqiang
Zhang, Xinghui
college of information technicail Sci.
Nankai Univ.
tianjin Univ. of Tech. & education
The unscented kalman filter is a widely used nonlinear filter in nonlinear
system. But because of inaccuracies of system modeling and other
reasons, when the disturbance or observation anomaly appears, UK-
F filtering algorithm does not have the ability of tracking the mutation
state of system, so the system is likely to become unstable. Iin this paper,
the reasons for cause these problems of UKF are analysed firstly,
and then,some improvements are made to it. Then, this paper gives a
detailed introduction of unscented transformt, according the theory of
strong tracking filter, puts forward a new kind of variable gain unscented
kalman filter. At last,this paper does some simulation experiment to
compare variable gain UKF filter with standard UKF. The results show
that the variable gain UKF has the ability of tracking the mutation state
of system when the disturbance or observation anomaly appears,and
variable gain UKF really makes the system more robust and stable.
◮ SaB01-6 17:30–17:50
Comparison of Nonlinear Filtering Approach in Tightly-coupled GP-
S/INS Navigation System, pp.1176–1181
Nie, Qi
Beijing Aerospace Automatic Control Inst.
This paper proposes the fusion of GPS measurements and inertial sensor
data from gyroscopes and accelerometers in tightly-coupled GP-
S/INS navigation systems. Usually, an extended Kalman fiter (EKF) is
applied for this task. However, as system dynamic model as well as the
pseudorange and pseudorange rate measurement models are nonlinear,
the EKF is sub-optimal choice from theoretical point of view, as it
approximates the propagation of mean an covariance of Gaussian random
vectors through these nonlinear models by a linear transformation,
which is accurate to first-order only. The sigma-point Kalman filter (SP-
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