Conference Program of WCICA 2012

Conference Program WCICA 2012
A comparison study on TDOA based localization algorithms for sensor
networks, pp.4490–4495
Qu, Xiaomei
Xie, Lihua
Nanyang Technological Univ.
Nanyang Technological Univ.
For the purpose of source localization, we have proposed two recursive
algorithms in our companion paper, which use time difference of arrival
(TDOA) measurements received from sensors by accounting for random
uncertainties in sensor positions. This paper is devoted to presenting
a comparative analysis on the two recursive localization algorithms.
The first algorithm is called recursive localization algorithm, which uses
the current estimate of source position to form a new measurement
equation of the unknown source position. The second algorithm firstly
estimates an auxiliary variable and then rearranges the nonlinear T-
DOA equation into a linear measurement equation. By employing the
update covariance of the update localization of the two algorithms, it is
shown that the second algorithm outperforms the first one. An illustrative
example is included to validate our theoretic results.
◮ SuB10-2 16:10–16:30
Robust Stabilization of Networked Control Systems with Multiple-packet
Transmission via Jump System Approach, pp.4496–4501
Ding, Nan
Yu, Mei
Yuan, Xiaodan
Li, Jie
Yu, Junyan
North China Electric Power Univ.
North China Electric Power Univ.
North China Electric Power Univ.
North China Electric Power Univ.
Univ. of Electronic Sci. ang Tech. in China
A jump system approach to stabilization and robust stabilization of networked
control systems (NCSs) with multiple-packet transmissions are
addressed. We focus our attention on the case that the packets are
transmitted via limited capacity communication channels. Sufficient
conditions on the mean square stabilization of NCSs are obtained in
terms of linear matrix inequalities (LMIs). Non-fragile state feedback
controller can be constructed directly via LMIs. A numerical example is
worked out to demonstrate the effectiveness of the proposed method.
◮ SuB10-3 16:30–16:50
Distributed fusion filter for multi-rate multi-sensor systems with packet
dropouts, pp.4502–4506
Ma, Jing
Sun, Shuli
Heilongjiang Univ.
Heilongjiang Univ.
This paper is concerned with the distributed fusion filtering problem for
a class of asynchronous multi-rate multi-sensor systems with different
packet dropout rates, where the system is described at the highest
sampling rate and different sensors may have different measurement
sampling rates. Firstly, the multi-rate fusion estimation problem is
transformed into an equivalent single rate fusion estimation problem
using a “dummy”measurement. Then, the optimal distributed fusion
filter is given based on the well-known optimal fusion algorithm weighted
by matrices in the linear minimum variance sense. The filtering error
cross-covariance matrix is derived between any two subsystems. Simulation
research verifies the effectiveness of the proposed filter.
◮ SuB10-4 16:50–17:10
Self-learning sensor scheduling for target tracking in wireless sensor
networks based on adaptive dynamic programming, pp.1056–1061
Xiao, Wendong
Song, Ruizhuo
Univ. of Sci. & Tech. Beijing
Univ. of Sci. & Tech. Beijing
This paper proposes a novel self-learning sensor scheduling scheme,
which makes the sensor energy consumption and sensor tracking error
optimal over the system operational horizon. The scheme employs
Kalman filter estimation technique to predict the tracking accuracy. A
performance index function is established based on the predicted energy
consumption and tracking error. A self-learning scheduling method
is proposed based on adaptive dynamic programming algorithm. The
numerical example shows the effectiveness of the proposed approach.
◮ SuB10-5 17:10–17:30
A New Approach to Quantized Stabilization of Stochastic System with
Multiplicative Noise, pp.2382–2387
Wei, Li
Zhang, Huanshui
Shandong Univ.
Shandong Univ.
A new quantization dependent Lyapunov function is proposed to analysis
the quantized feedback stabilization problem of discrete-time system
with multiplicative noises. For convenience of the proof, only singleinput
case is considered (which can be generalized to multi-input channel),
conditions for the system to be mean-square poly-quadratic stabilized
are derived as well as the analysis of H-inf performance and controller
design for the given stochastic system with logarithmic quantizer.
The most significant feature is the utilization of a quantization dependent
Lyapunov function, leading to less conservative results, which is
shown both theoretically and through numerical examples.
◮ SuB10-6 17:30–17:50
Outlier Detection in Heart Rate Signal using Activity information,
pp.4511–4516
Yang, Yuanjing
Ji, Lianying
Wu, Jian Kang
Graduated Univ. of Chinese Acad. of Sci.
Graduate Univ. of Chinese Acad. of Sci.
Graduate Univ., Chinese Acad. of Sci.
During exercise, heart rate will increase and its distribution will be different
from that in stationary statement. Moreover, activity introduces
several outliers into heart rate series. Heart rate variability analysis
under exercise conditions can’t be conducted identically to the traditional
methods. A heart rate distribution analysis method is proposed
to fuse the activity information and heart rate signals which will be used
to make heart rate analysis under exercise conditions. Firstly we use
Gaussian function to fit RR intervals under various intensity activities,
and then establish dynamic model for the parameter 𝛍 and
𝛔 which is changed with activity intensity. With the distribution
of heart rate determined, outliers in RR interval can be detected
and replaced according to possibility distribution. In the last, the validity
of outlier detection algorithm and the influence of outliers to HRV are
verified.
SuB11 16:10–17:50 Room 311C
Invited Session: Hypersonic flight control
Chair: Chen, Mou
Co-Chair: Duan, Haibin
NUAA
Beihang Univ.
◮ SuB11-1 16:10–16:30
Modeling and Control for Near-Space Vehicles With Oblique Wing,
pp.1773–1778
Pang, Jie
Rong, Mei
Chen, Mou
NUAA
Nanjing Univ. of Aeronautics & Astronautics
NUAA
In this paper, the flight motion model for near-space vehicle with an
oblique wing is presented, and the flight control system is developed
using dynamic inversion method. Firstly, based on its asymmetry
configuration and special aerodynamic characteristic, the six-degreeof-freedom
nonlinear equations of flight motion are derived using Newton’s
second law and law of inertia via considering the influence of
oblique wing. Secondly, the dynamic inversion control scheme is designed
for the near-space vehicle with an oblique wing. Finally, simulation
results are presented to illustrate the effectiveness of the proposed
flight control scheme.
◮ SuB11-2 16:30–16:50
Attitude Quaternion Control in the Final Approach Phase of Rendezvous
and Docking by Sliding Mode Control, pp.2177–2181
Zong, Xiaoxiao
Liu, Zhenghua
Ren, Yan
Li, Nan
Beihang Univ.
School of Automation
Beihang Univ.
Beihang Univ.
For the relative attitude control problem in phasing period of rendezvous
and docking, attitude quaternion was adopted to describe the dynamic
model and the kinematics equation of spacecraft. Then attitude quaternion
PD feedback was designed to control the relative attitude successfully.
On this basis, the sliding mode control was researched and
used in relative attitude control to improve accuracy and build up anti-
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