Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on 37(2),

mattednearΤεχνίτη Νοημοσύνη και Ρομποτική

1 Δεκ 2013 (πριν από 3 χρόνια και 9 μήνες)

82 εμφανίσεις

I this week
(Aug. 9


Aug. 15)
, I plan to read the following s
elected papers

[1
-
6
]
. [1
-
5] is picked by Dr.
Grabow.
[6]

is picked up by me.
[6]

is referenced in
[5]
, which models and analyzes the long random
delay networked system.


References

[1] Li
-
zhen Wu and Xiao
-
hong Hao. A novel optimal controller design and evaluation for networked
control systems with time
-
variant delays. Presented at Measuring Technology and Mechatronics
Automation (ICMT
MA), 2010 International Conference on.

[2] Guo
-
Ping Liu, Yuanqing Xia, David Rees and Wenshan Hu. (2007, Design and stability criteria of
networked predictive control systems with random network delay in the feedback channel.
Systems,
Man, and Cybernetics
, Part C: Applications and Reviews, IEEE Transactions on 37(2),
pp. 173
-
184.

[3] E. C. Martins and F. G. Jota. (2010, Design of networked control systems with explicit compensation
for time
-
delay variations.
Systems, Man, and Cybernetics, Part C: Applicat
ions and Reviews, IEEE
Transactions on 40(3),
pp. 308
-
318.

[4] L. Samaranayake, M. Leksell and S. Alahakoon. Relating sampling period and control delay in
distributed control systems. Presented at Computer as a Tool, 2005. EUROCON 2005.the International
C
onference on.

[5] R. A. Gupta and Mo
-
Yuen Chow. (2010, Networked control system: Overview and research trends.
Industrial Electronics, IEEE Transactions on 57(7),
pp. 2527
-
2535.

[6] Jin Wu, Fei
-
Qi Deng and Jing
-
Guang Gao. Modeling and stability of long r
andom delay networked
control systems. Presented at Machine Learning and Cybernetics, 2005. Proceedings of 2005
International Conference on.

Abstract


Guo
-
Ping Liu, et al. "Design and Stability Criteria of Networked Predictive Control Systems with Rand
om Network Delay in the Feedback
Channel."
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

37.2 (2007): 173
-
84.

This paper is concerned with the design of networked control systems (NCSs) with random network delay in the feedback channel

and
gives stability criteria of closed
-
loop networked predictive control systems. The principle of predictive control is adopted t
o overcome the
effects of network time delay. The necessary and sufficient conditions on the stability of the closed
-
loop NCS are derived, which provides
useful analytical stability criteria. The closed
-
loop networked predictive control system with bounded

random network delay is stable if
the corresponding switched system is stable. Simulation and real
-
time results give an illustration of the proposed control strategies.

Gupta, R. A., and Mo
-
Yuen Chow. "Networked Control System: Overview and Research Tren
ds."
Industrial Electronics, IEEE Transactions on

57.7 (2010): 2527
-
35.

Networked control systems (NCSs) have been one of the main research focuses in academia as well as in industry for many decad
es and
have become a multidisciplinary area. With these gr
owing research trends, it is important to consolidate the latest knowledge and
information to keep up with the research needs. In this paper, the NCS and its different forms are introduced and discussed.
The
beginning of this paper discusses the history an
d evolution of NCSs. The next part of this paper focuses on different fields and research
arenas such as networking technology, network delay, network resource allocation, scheduling, network security in real
-
time NCSs,
integration of components on a netwo
rk, fault tolerance, etc. A brief literature survey and possible future direction concerning each topic
is included.

Jin Wu, Fei
-
Qi Deng and Jing
-
Guang Gao. "Modeling and Stability of Long Random Delay Networked Control Systems." Machine Learning and
Cybe
rnetics, 2005. Proceedings of 2005 International Conference on.

The work of this paper is the first step of the Networked Control Systems Project. In this paper, modeling and stability of t
he long
random delay networked control systems are discussed. The
objective is to present a model for such systems, and discuss the systems'
stability under such a model. First, we employ the multirate sampling method together with the augmented state matrix method
to
model the long random delay networked control systems
. Secondly, by formulating the modeled systems as discrete
-
time switched
systems, the long random delay networked control systems' stability can be reduced to the corresponding problems of the discr
ete
-
time
switched systems. By applying the available resul
ts in the literature for the discrete
-
time switched systems, we present a theorem about
the sufficient conditions of the systems' dwell time stability and discuss how to select the proper N so as to stabilize the
systems
considering rigorous stability and
get a good system performance as well.

Li
-
zhen Wu, and Xiao
-
hong Hao. "A Novel Optimal Controller Design and Evaluation for Networked Control Systems with Time
-
Variant
Delays." Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International
Conference on.

A new model for networked control systems (NCSs) with structured uncertainties and multiple state time
-
delays is presented, In view of
multi
-
input and multi
-
output (MIMO) NCSs with many independent sensors and actuators, a continuous time m
odel of NCSs with
distributed time
-
delays and uncertainties are proposed. A method of delay
-
estimation online is also given. Then a scheme based on LQG
controller is designed to achieve desired Real
-
time performance. The result illustrate that the effectiv
eness of the proposed control
design and the satisfactory performance of the system.

Martins, E. C., and F. G. Jota. "Design of Networked Control Systems with Explicit Compensation for Time
-
Delay Variations."
Systems, Man,
and Cybernetics, Part C: Applica
tions and Reviews, IEEE Transactions on

40.3 (2010): 308
-
18.

In this paper, the effects of network delay among interconnecting elements of a distributed computer network control system a
re
analyzed. Experimental tests have been accomplished to show the in
fluence of the combined effects of the network delay (between
sensor/controller and controller/actuator) on the overall performance of a feedback control system. For this purpose, a propo
rtional
-
plus
-
integral (PI) controller has been used. This controller
has been designed, using the well
-
known direct synthesis method and implemented
in a didactic networked control system platform. Corresponding (
z
-
transform) difference equations have been used, assuming time
-
triggered (regular) samplings. The augmented PI
controller (with compensation of the control signal and estimation of missing
measurements) is developed. Stability analysis is performed to verify the validity of this scheme. The results presented in t
he paper
show that the dynamic behavior of the closed
-
loop system can be improved using the proposed technique.

Samaranayake, L., M. Leksell and S. Alahakoon. "Relating Sampling Period and Control Delay in Distributed Control Systems." C
omputer as a
Tool, 2005. EUROCON 2005.the International Conference on.

The control delay in distributed control systems may be compensated on
-
line or off
-
line depending on the required quality of the output,
available computational power of the controller node, time stamping and clock synchronizing facilities etc. Irrespecti
ve of the
compensation technique, there is an upper bound to the constant or variable control delay, which is decided by the plant, con
troller and
the selected sampling period of the distributed computer controlled system. It is shown that in general, if t
he control delay exceeds the
sampling period, the system becomes multi
-
rate; deteriorate performance as the plant updates do not correspond to the output samples.
This paper introduces an adaptive sampling scheme to ensure the control delay is less than th
e sampling period in steady state and uses
the maximum tolerable delay of the system at a particular sampling interval to ensure stable transform from one sampling peri
od to
another.