Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Saturday Sessions
Sam, Yahaya
Universiti Tech. of Malaysia
Electro-hydraulic actuator (EHA) system inherently suffers from uncertainties,
nonlinearities and time-varying in its model parameters which
makes the modeling and controller designs are more complicated. The
main objective of this paper is to perform a robust control design using
discrete-time sliding mode control (DSMC) with two-degree-of-freedom
(2-DOF) control strategy. The proposed controller consists of feedback
and feedforward combination which capable to reduce phase lag and
steady state error during the trajectory tracking of EHA system. The
feedforward controller is developed by implementing the zero phase error
tracking control (ZPETC) technique which the main difficulty arises
from the nonminimum phase system with no stable inverse. A pointto-point
trajectory is used in the experimental works to evaluate the
performance of the DSMC. Experimental results reveal that the DMSC
with 2-DOF control structure is highly robust and capable to deal with
the uncertainties and disturbances occur during the position tracking
control for different point of trajectories. It is also shows that the proposed
controller can achieve better tracking performance as compared
to conventional LQR and PID controller.
◮ SaB07-4 16:50–17:10
Multi-grade resin quality adaptive estimation for gas-phase polyethylene
process, pp.2838–2843
Zhao, Zhong
Hu, Chuan
Liu, Yang
Beijing Univ. of Chemical Tech.
Beijing Univ. of Chemical Tech.
Beijing Univ. of Chemical Tech.
A major difficulty affecting the control of product quality in industrial
polymerization reactors is the lack of suitable on-line polymer property
measurements. In this article, a parameter updating law is deduced
based on the predictive model of industrial polyethylene process resin
quality. According to the off-line lab analytical data, an asymptotic tracking
state observer design method is proposed to update the estimation
of resin quality and predictive model parameter. The application results
with the proposed method to an industrial plant verified the feasibility
and effectiveness. With the proposed method, polymer properties of
industrial polyethylene process can be on-line estimated and make it
possible for achieving the advanced on-line product quality control.
◮ SaB07-5 17:10–17:30
A RLS Run-to-Run Control Approach for Semiconductor Manufacturing
Process, pp.2642–2646
Liu, Shujie
Zheng, Ying
Luo, Ming
Wang, Yanwei
Huazhong Univ. of Sci. & Tech.
Huazhong Univ. of Sci. & Tech.
Huazhong Univ. of Sci. & Tech.
Huazhong Univ. of Sci. & Tech.
Exponentially weighted moving average (EWMA) is a commonly used
model-based algorithm for semiconductor manufacturing process Runto-Run
(R2R) control. However, it’ s very difficult to set up the
mathematical modeling for the actual semiconductor manufacturing
process. Therefore, data-based methods such as Recursive Least
Squares(RLS) have received wide attention nowadays. This paper proposes
a variable forgetting factor RLS R2R control approach for semiconductor
manufacturing process with and without drift disturbance.
The variable forgetting factor resolves the drift disturbance well, and
this method is much superior to generic RLS algorithm in convergence
speed and tracking effect. It has both a strong ability to track parameters,
and a small convergence estimate error. Simulation results prove
the feasibility and accuracy of the algorithm.
◮ SaB07-6 17:30–17:50
Active Control of Periodic Impulsive Noise in a Non-minimum Phase
System Using Repetitive Control Algorithm, pp.2770–2775
Zhou, Yali
Yin, Yixin
Zhang, Qizhi
Beijing Information Sci. & Tech. Univ.
Univ. of Sci. & Tech. beijing
Beijing Information Sci. & Tech. Univ., China
In this paper, active control of periodic impulsive noise is studied. The
stability of an active noise control (ANC) system using repetitive control
(RC) algorithm is first analysed. Based on the stability condition,
a novel non-causal stable inversion approach combined with an optimal
criterion is used to design the RC controller for an ANC system
with a non-minimum phase secondary path. A non-causal transversal
finite impulse response (FIR) filter is used as the RC learning filter to
compensate the phase lag of the plant. Computer simulations have
been carried out to validate the effectiveness of the proposed algorithm.
The plant model used in the computer simulations is obtained from
a practical ANC system in our laboratory. Simulation results show that
the proposed scheme can significantly reduce periodic impulsive noise
and the convergence rate is fast for a non-minimum phase plant.
SaB08 15:50–18:30 Room 310
Award: Theory (II) & Invited Session: Control, Informatics, and Systems
Biology
Chair: Luh, Peter B.
Co-Chair: Yang, Ruoting
Univ. of Connecticut,USA
UNIV OF CA @ SANTA BARBARA
◮ SaB08-1 15:50–16:10
Robust Altitude Control of an Unmanned Autonomous Helicopter Using
Backstepping , pp.1650–1654
ROY, TUSHAR KANTI UNSW, Canberra, ACT 2600
In this paper, a nonlinear robust control technique is proposed to control
heave motion for hover as well as vertically take–off/landing of an unmanned
autonomous helicopter in the presence of external wind gusts.
A heave motion model of a small helicopter is considered to derive the
proposed controller for the purposes of capturing dynamic variations
of thrust due to the external disturbances. A recursive (backstepping)
design procedure is used to design the robust controller for vertical dynamics
based on Lyapunov approach. To show the effectiveness of the
proposed control method and its ability to cope with the external uncertainties
in the vertical dynamics, results are compared with a classical
PD controller. Comparative studies demonstrate that the proposed
robust backstepping control method greatly enhance the performance
over the classical PD controller and it is applied to RUAV hovering condition
as well as vertical take-off/landing.
◮ SaB08-2 16:10–16:30
Function Perturbation Impact on the Topological Structure of Boolean
Networks, pp.1241–1246
Li, Haitao
Wang, Yuzhen
Liu, Zhenbin
Shandong U
Shandong Univ.
Shandong Univ.
This paper investigates the function perturbation impact on the topological
structure of Boolean networks by using the semi-tensor product
method, and presents a set of new results. First, a new necessary
and sufficient condition is presented to guarantee that an attractor is invariant
after function perturbations. Second, a necessary and sufficient
condition is established to analyze how do the attractors of Boolean networks
change with the Boolean function perturbations. Finally, as applications,
the intervention problem of a WNT5A Boolean network and
the function perturbation identification problem of a D. melanogaster
segmentation polarity gene network are investigated, respectively. The
study of the practical examples shows that the new results obtained in
this paper are very effective in the function perturbations impact analysis
of Boolean networks.
◮ SaB08-3 16:30–16:50
Epidemic Spreading on Complex Networks with Weighted Adaptive S-
trategy, pp.3491–3496
Zhou, Yinzuo
Zhou, Jie
Wang, Xiaofan
Shanghai Jiao Tong Univ.
National Univ. of Singapore
Shanghai Jiao Tong Univ.
We introduce a weighted adaptive network model to investigate the epidemic
dynamics based on a susceptible-infective-susceptible (SIS) pattern,
where the weight of a link describes the contact strength between
two connected individuals. In the model, a susceptible node is able to
transfer the weight of the link connecting an infected neighbor to a link
connecting one of its susceptible neighbors. It is found that this weight
adaption process could strongly aggravate the destructiveness of an
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