Date: 15-16th September 2008
Venue: 209 Peter Froggatt Centre, Queen’s University Belfast, Belfast
Host: Queen’s University Belfast, Belfast
Chair: Dr Kang Li
Confirmed Speakers
Professor Peter Fleming: Many Criteria Decision Making in Control and Systems Design
Department of Automatic Control and Systems Engineering
University of Sheffield
Sheffield S1 3JD
http://www.shef.ac.uk/acse/staff/peter_fleming
Professor
Peter Fleming is Chair of Industrial Systems and Control in the
Department of Automatic Control and Systems Engineering and Director of
the Rolls-Royce University Technology Centre for Control and Systems Engineering at the University of Sheffield, UK.
His
control and systems engineering research interests include control
system design, health monitoring, multi-criteria decision-making,
optimisation and scheduling, grid computing and real-time control and
instrumentation. He has over 350 research publications, including six
books, and his research interests have led to the development of close
links with a variety of industries in sectors such as aerospace, power
generation, food processing, pharmaceuticals and manufacturing.
He is a Fellow of the Royal Academy of Engineering, a Fellow of the Institution of Electrical Engineers, a Fellow of the Institute of Measurement and Control, former
Vice-President of the International Federation of Automatic Control and
is Editor-in-Chief of International Journal of Systems Science.
Design
problems arising in control and systems can often be conveniently
formulated as multi-criteria decision-making problems. However, these
often comprise a relatively large number of criteria. Through close
association with designers in industry a range of machine learning
tools and associated techniques have been devised to address the
special requirements of many-criteria decision-making.
These include visualisation and analysis tools to aid the
identification of features such as “hot-spots” and non-competing
criteria, preference articulation techniques to assist in interrogating
the search region of interest and methods to address the special
computational demands of these problems. Test problems and real design
exercises will demonstrate these approaches.
Professor George W Irwin: Intelligent use of data for condition monitoring and applications
School of Electronics, Electrical Engineering and Computer Science,
The Queen's University Belfast,
Ashby Building,
Stranmillis Road
Belfast, BT9 5AH
http://www.qub.ac.uk/research-centres/ISAC/Profile/?name=g.irwin
Professor George Irwin PhD, DSc, C.Eng, FIEE, FIEEE,
FInstMC leads the Intelligent Systems and Control Research group at
Queen University Belfast. He has been elected Fellow of the Royal
Academy of Engineering and Member of the Royal Irish Academy.
Prof Irwin’s research covers identification, monitoring, and control,
including neural networks, fuzzy neural systems and multivariate
statistics and he has published over 350 research papers and 12 edited
books. He is currently working on wireless networked control systems,
fault diagnosis of internal combustion engines and novel techniques for
fast temperature measurement and was Technical Director of Anex6 Ltd, a
University spin out company.
He has been awarded a number of prizes for published work including
four IEE Premiums, a Best Paper award from the Czech Academy of
Sciences and the 2002 Honeywell International Medal from the Institute
of Measurement and Control. International recognitions include
Honorary/Visiting Professor positions at Harbin Institute of
Technology, Shandong University and Shanghai University.
Professor David H Owens: Gradient-based Iterative Learning Control: Time and Frequency Domain Conditions
Department of Automatic Control and Systems Engineering
University of Sheffield
Sheffield S1 3JD
http://www.shef.ac.uk/acse/staff/dho
Professor David Owens has been the Head of the
Department of Automatic Control and Systems Engineering since 1999 and
was Dean of Engineering at Sheffield University in the period
2002-2006. He was the Convener of the Deans in the period 2005-06.
Prior to this he was Head of the School of Engineering and Computer
Science at the University of Exeter where he also acted as Chairman of
Exeter Enterprises Ltd (the University Technology Transfer Company).
Following 4 years with the UKAEA, he has over 34 years involvement in
academic life with experience of departmental teaching, administration
and research and high-level University committee service in three UK
Universities (Sheffield, Strathclyde and Exeter Universities). He has
acted as external examiner for both undergraduate programmes at
universities including Glasgow, Bath, Sheffield, Coventry, De Montfort,
Salford, Loughborough, KUTKM and UPM-Malaysia.
He has had a strong involvement with the Engineering and related
Professions having served on many Committees and the Council of the
Institution of Electrical Engineers (IET) and currently serves on its
Sector Panel for C&I. He is a member and has chaired the
Informatics and Control Group of the Institution of Mechanical
Engineers and has been a member of both the IMechE Research and
Standards Board and Technology Strategy Committee.
He was the elected Chairman of the United Kingdom Automatic Control
Council from 1999-2002 representing the interests of the UK
Professional Institutions within IFAC.
He was also elected as a Fellow of the Royal Academy of Engineering in
2008 in recognition of his contributions to control theory and practice
and the profession over the past four decades.
In addition he has been elected as a Freeman of the Company of Cutlers
in Hallamshire since 2007 and is listed in A&C Black's Who's Who.
He has served on the Health and Safety Commission´s Nuclear Safety
Advisory Committee (1995-2006) and has been an independent member of
British Energy´s Training Standards and Accreditation Board.
Until 2008, he was an editor of an Institute of Mathematics and Its
Applications International Journal, is an Associate Editor of several
other journals and regularly contributes to international activities
through conference organisation, seminars and invited lectures and
committees of the International Federation of Automatic Control (IFAC).
Professor Guoping Liu: Theory and Technology of Networked Control Systems
Advanced Technology
Engineering and Technology
Treforest Campus
University of Glamorgan
Pontypridd, CF37 1DL, UK
http://people.glam.ac.uk/view/1023/
Professor Guoping Liu is a chair of control engineering in the University of Glamorgan in the UK.
He received his B.Eng and M.Eng degrees in electrical and electronic
engineering from the Central South University of Technology (now the Central South University) in China in 1982 and 1985, respectively, and his Ph.D degree in control engineering from UMIST (now the University of Manchester) in the UK in 1992. He did the postdoctoral research in the University of York in 1992 -1993. He worked as a research fellow in the University of Sheffield
in 1994. During 1996-2000, he was a senior engineer in GEC-Alsthom and
ALSTOM, and then a principal engineer and a project leader in ABB
ALSTOM Power. He was a senior lecturer in the University of Nottingham in 2000-2003. He has been a professor in the University of Glamorgan since 2004, a Hundred-Talents-Programme visiting professor of the Chinese Academy
of Sciences since 2000, a ChangJiang-Scholar visiting professor of
Harbin Institute of Technology since 2008 and a visiting professor of
the Central South University since 1994.
Prof
Liu has led more than 50 academic research and industrial technology
projects, funded by European Framework Programme 6, EPSRC, ESRC, DTI,
Technology Strategy Board, Welsh Assembly Government, Higher Education
Funding Council, Royal Society, Leverhulme Trust, Energy Saving Trust
and more than 20 industrial companies (e.g., Rolls Royce, GEC-Alsthom,
ABB-ALSTOM Power, ALSTOM). He has more than 300 publications on control
systems and authored or co-authored 6 books. He was awarded the
Alexander von Humboldt Research Fellowship in 1992. He received the
best paper prize for applications at the UKACC International Conference
on Control in 1998, GuanZhaoZhi best paper prize at the 26th Chinese Control Conference in 2007, and the best paper prize in automation at the 13th
International Conference on Automation and Computing in 2007. He was
the general chair of the 2007 IEEE International Conference on
Networking, Sensing and Control and the program co-chair of the 2008
UKACC International Conference on Control. He is the editor-in-chief of
the International Journal of Automation and Computing, a member of the
IFAC Technical Committee on Networked Systems, a member of the EPSRC Peer Review College,
and a senior IEEE member. His main research areas include networked
control systems, modelling and control of fuel cell vehicles, advanced
control of industrial systems, nonlinear system identification and
control, and multiobjective optimisation and control.
A
feedback control system wherein the control loop is closed through a
real-time network is known as a networked control system, which is a
completely distributed real-time control system. It allows
remote control, monitoring, diagnosis, maintenance and adjustment of
networked systems, and collaboration between skilled system experts,
managers, engineers and operators situated in geographically diverse
locations. With the development of
the communication technology and control technology, a global control
system is not too far from us now. This talk will cover the following:
Networked
control theory: The network in a system leads to various problems,
e.g., random time delay and data dropouts, which dramatically degrade
the control performance of the controlled system. A new control
strategy – networked predictive control will be introduced, which
actively compensates for the random network delay and data dropouts so
that the closed-loop networked control performance is very similar to
the one without network. The stability and robustness of Internet based
control systems are also addressed.
Networked
control technology: A fast, convenient, and cost-effective scheme of
implementing the networked predictive control in embedded systems using
visual control configuration and visual supervisory configuration
approaches will be introduced. On-line tuning of control parameters and
analysing the responses of the system can be realised easily via the
Internet, and consequently an optimal control solution can be obtained
in a short time.
Networked
Control Systems Lab: Based on the networked control theory and
technology, a networked control system lab on the Internet at http://www.ncslab.net
will be introduced, which integrates 8 various control test rigs and
experimental facilities of control systems around the world (4 rigs in
University of Glamorgan, 2 rigs in Chinese Academy of Sciences, 1 rig
in Tsinghua University and 1 rig in the Central South University). Many
classical, modern and advanced real-time control system experiments can
be carried out in NCSLab through the Internet.
Professor Roger Goodall: Research collaboration with industry - a personal view
Department of Electronic and Electrical Engineering
Loughborough University
Loughborough, Leicestershire, LE11 3TU UK
http://www.lboro.ac.uk/departments/el/staff/goodall.html
Professor Roger Goodall graduated from Peterhouse,
Cambridge, in 1968. After working for two years for one of the
GEC companies he joined British Rail's R & D Division in Derby,
where he was involved in a variety of control-related projects
connected with the railway industry. In 1982 he took up an
academic position in the Department of Electronic and Electrical
Engineering at Loughborough University, and is currently Professor of
Control Systems Engineering. His research is concerned with a
variety of practical applications of advanced control, usually for high
performance electro-mechanical systems. He has had a number of research
grants from EPSRC, the EC and industry concerned with active railway
vehicle suspensions, advanced data fusion architectures for aerospace
applications, and targetted processor architectures for implementation
of high-performance controllers. He is a Fellow of the Royal Academy of
Engineering as well as both the IET and IMechE. He is also well known
internationally for his research in rail vehicle technology and amongst
other external activities he is a member of the Executive Committee for
the UK Automatic Control Council (the UK's national member organization
of IFAC), and Vice-President of IFAC for the triennium
2008-2011.
In this talk, the following issues will be discussed
* Why work with industry?
* Personal research collaboration examples
- BAE Systems, state estimation for aircraft
- Bombardier Transportation, actively-stabilised "Mechatronic" bogie
* Dos and donts - opportunities and challenges
Professor Roger Woods: Preparation of research proposals and grant applications
The Institute of Electronics, Communications and Information Technology (ECIT)
Queen’s University Belfast
NI Science Park
Belfast BT3 9DT
http://www.qub.ac.uk/schools/eeecs/Staff/BusinessCard/index.html?name=r.woods
Professor Roger Woods leads the Programmable Systems
Laboratory at Queen's University Belfast. His current research
interests include the implementation of complex programmable systems
for signal processing and telecommunications including design flows and
methodologies and applications. Prof Woods serves on the editorial
board of IET Proceedings: Computers and Digital Techniques (since
2003), Journal of VLSI Signal Processing Systems (since 2002), EURASIP
Journal on Applied Signal Processing (since 2004). He was general chair
of the FPL 2001 and the IEE's FPGA Developer's Forum in 2003 and 2005
and technical program committee co-chair of 2005 IEEE IWVDVT workshop
and 2008 Applied Reconfigurable Conference (ARC). He is on the program
committee of conferences including SIPS, FCCM, FPL, FPT, ARC and
VLSIDAT.
Professor Richard Middleton: Challenges for Control Research from Systems Biology
The Hamilton Institute,
National University of Ireland Maynooth
Co. Kildare, Ireland
http://www.hamilton.ie/rick/rick.html
IEEE Distinguished Lecturer Talk
Richard H. (Rick) Middleton was born in Newcastle
Australia in 1961. He received his B.Sc. (Physics/Maths) in 1983, and
B.Eng. in Electrical Engineering in 1983. He was awarded his Ph.D.
(1986) from the University of Newcastle , Australia under the
supervision of Professor G.C. Goodwin. Since that time he has held
various appointments at the University of Newcastle, currently at the
Professor level, and has had visiting appointments for a semester at
both the University of Illinois at Urbana-Champaign and at the
University of Michigan.
He has published research results in a range of areas including
electric machine control, adaptive control, robot control, digital
control systems theory using delta operators, multirate and
sampled-data systems, performance limitations in feedback control
systems (including multivariable and nonlinear systems), metal rolling
control problems, robotics, constrained control, and signal processing
for condition monitoring of electrical power equipment, control over
communications channels. In 1990 he jointly published, with Professor
Goodwin the text "Digital Control and Estimation: A Unified Approach"
(Prentice-Hall). He has been involved in industrial applications of
systems and control to radio astronomy, satellite tracking, metals
processing industries, power electronic inverter controls and various
applications of Kalman filtering.
He has served as an associate editor of both the IEEE Transactions on
Automatic Control and the IEEE Transaction on Control System
Technology. He has also served as Head of Department of Electrical and
Computer Engineering at the University of Newcastle,as a panel member
and sub panel chair for the Australian Research Council, as Director of
the Centre for Integrated Dynamics and Control (A Commonwealth Special
Research Centre). He is a Fellow of the IEEE and of Engineers
Australia, and Vice President Conference Activities of the IEEE Control
System Society.
Rick is currently serving as a Research Professor at the Hamilton
Institute, National University of Ireland, Maynooth in County Kildare,
Ireland.
In this talk, I will discuss some of the challenges for control
engineering research that are provided by applications in Systems
Biology. This research area has some common features with problems that
control has had great success in addressing: dynamic behaviour,
interconnected systems, mixtures of feedback and feedforward. However,
there are also a range of major challenges for control people to work
in systems biology: academic culture differences, poorly understood
mathematical models, positive/nonlinear/time varying systems. I will
use treatment scheduling in HIV as a working example to illustrate some
of the challenges, and some preliminary results that have been achieved.
Professor Henry Wu: Biologically Inspired Modelling and Optimization: From Modelling of Bacterial Foraging to Novel Optimization Algorithms
Department of Electrical Engineering and Electronics
University of Liverpool
Brownlow Hill
Liverpool L69 3GJ
http://www.liv.ac.uk/eee/academicstaff/wu.htm
Henry Wu obtained an M.Sc.(Eng) degree in Electrical
Engineering from Huazhong University of Science and Technology (HUST),
Chinain 1981. From 1981 to 1984. He was appointed Lecturer in
Electrical Engineering in the University. He obtained a Ph.D. degree
from The Queen's University of Belfast (QUB) in 1987. He worked as a
Research Fellow and Senior Research Fellow in QUB from 1987 to 1991 and
Lecturer and Senior Lecturer in the Department of Mathematical
Sciences, Loughborough University, U.K. from 1991 to 1995. He was
appointed Chair of Electrical Engineering in 1995, leading the
Intelligence Engineering And Automation research group at The
University of Liverpool. He is also the Director of the e-Automation
Laboratory at Liverpool (http://www.liv.ac.uk/e-automation/). Professor
Wu is a Chartered Engineer, Fellow of IEE and Senior Member of IEEE. He
has served as a committee member of IEE professional groups and on the
committees of a number of international conferences, and as an
editorial board member of four academic journals. He has given invited
lectures at a number of international conferences and institutions.
Professor
Wu’s research interests include Nonlinear Adaptive Control, Neural
Networks, Evolutionary Computation, Reinforcement Learning, Support
Vector Machines, Mathematical Morphology, Biologically Inspired
Algorithms and Multi-agent Systems. He has applied these methodologies
to various problems of power system operation and control, which
include Power Plant Control, Reactive Power Dispatch and Voltage
Control, Power System Stability, Machine Parameter Identification,
Power System Protection and Renewable Energy. Prof Hu has published
over 250 papers in international journals and conference. Over the past
eight years, he has undertaken, as a principal or co-investigator, a
number of EPSRC funded research projects in the areas of Evolutionary
Computation, Learning Systems, Non-linear Adaptive Control and
Biocomputation. He has also led a number of industrial projects,
sponsored by British Telecom, National Grid Transco, RWE Innogy, AREVA,
Siemens, Newborn Appeal and BICC, etc., in the areas of Power System
Control and Operation, Medical Intensive Care, Multi-agent Systems and
IP Networks for Information Management Condition Monitoring and Control
of Distributed Industrial Systems.
This talk is concerned with the development of a new
branch of biologically-inspired optimization. It reports the original
work on modelling of bacterial foraging behaviours that include
chemotaxis, metabolism, proliferation and elimination, and quorum
sensing, using an individual based modelling approach. It also reports
the novel bacteria-inspired algorithms (BiAs) that are developed, based
on the bacterial foraging model. Applications of the BiAs to voltage
control and economic dispatch of power systems are included in the talk
to demonstrate the potential of BiAs for solving large-scale
optimization problems.