| Tuesday - 12th September | |
| 18:30 - 19:30 | Welcome reception |
| Day 1 (Wednesday 13th September) | |
| 08:45-9:00 | Opening |
| 09:00-10:00 | Plenary Talk (Tao Liu: Robust two-dimensional control design for industrial batches processes with time-varying uncertainties), Chair: Wojciech Paszke |
| 10:00-10:40 | Coffee break |
| 10:40-12:40 | nD system theory and applications, Chair: Eric Rogers |
| 13:00-14:00 | Lunch |
| 14:00-15:40 | Special session: First order models in nD systems theory, Chairs: Eva Zerz and Paula Rocha |
| 15:40-16:00 | Coffee break |
| 17:00-20:00 | A trip to Górzykowo vineyard and the conference dinner |
| Day 2 (Thursday 14th September) | |
| 09:00- 10:00 | Plenary Talk (Tom Oomen: Advanced Motion Control: A 2D Perspective), Chair: Eric Rogers |
| 10:00-10:40 | Coffee break |
| 10:40-13:00 | Iterative Learning Control, Chair: Tao Liu |
| 13:00-14:00 | Lunch |
| 14:00-15:40 | Control of nD Systems, Chair: Krzysztof Gałkowski |
| 15:40-16:00 | Coffee break |
| 16:00-18:00 | MSSP Editorial Board Meeting |
| 19:00-21:00 | Baquet at Palmiarnia (The Palm House) |
| Day 3 (Friday 15th September) | |
| 09:00- 10:00 | Plenary Talk (Panajotis Agathoklis : Application of Multi-dimensional (MD) filters in Broadband Beamforming and Light Field Processing), Chair: Anton Kummert |
| 10:00-10:40 | Coffee break |
| 10:40-12:40 | Signal and Image processing, Chair: Rudolf Rabenstein |
| 12:40-13:00 | Closing the conference |
| 13:00-14:00 | Lunch |
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Keynote speaker abstracts & biographies
Pan Agathoklis
Application of Multi-dimensional (MD) filters in Broadband Beamforming and Light Field Processing Abstract:
Multidimensional (MD) filters can be used for processing spatio-temporal signals which appear in many applications such as broadband beamforming and light field processing. In broadband beamforming spatio-temporal broadband plane waves are being received by a uniform array of antennas. The received signals (2-D for linear arrays and 3-D for planar arrays) are enhanced based on their direction of arrival while interferences and noise are attenuated using appropriate fan-filters. An interesting possibility is to use such filters in radio astronomy applications to enhance broadband signals buried in strong radio frequency interference. Another application of MD filters is the processing of signals received with light field cameras. Light field images consist of a 2-D array of images while light field videos consist of a 2D array of videos. Light field videos make the enhancement of moving objects depending on their depth and velocity possible. Recently depth-velocity filters have been developed for this task and are shown to provide better performance than conventional 3-D video or 4-D light field processing. In this talk recent developments in the design of MD filters for broadband beamforming and the design of depth-velocity filters for the processing of light field videos will be presented.
Pan Agathoklis received the Dipl. Ing. degree in electrical engineering and the Dr.Sc.Tech. degree from the Swiss Federal Institute of Technology, Zurich, Switzerland, in 1975 and 1980, respectively. Since 1983, he has been with the Department of Electrical and Computer Engineering, University of Victoria, B.C., Canada, where he is currently a Professor. He has received a NSERC University Research Fellowship and Visiting Fellowships from the Swiss Federal Institute of Technology, from the Australian National University and the University of Perth, Australia. He has been member of the Technical Program Committee of many international conferences and has served as the Technical Program Chair of the 1991 IEEE PACRIM Conference the 1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing and the 2009 ISSPIT. His fields of interest are in control, digital signal processing and their applications. He worked in the design and stability of multidimensional systems, in broadband beamforming, in the application of 2D and 3D filtering in radio astronomy for removing radio interference and in the application of adaptive optics in the development of optical telescopes.
Application of Multi-dimensional (MD) filters in Broadband Beamforming and Light Field Processing Abstract:
Multidimensional (MD) filters can be used for processing spatio-temporal signals which appear in many applications such as broadband beamforming and light field processing. In broadband beamforming spatio-temporal broadband plane waves are being received by a uniform array of antennas. The received signals (2-D for linear arrays and 3-D for planar arrays) are enhanced based on their direction of arrival while interferences and noise are attenuated using appropriate fan-filters. An interesting possibility is to use such filters in radio astronomy applications to enhance broadband signals buried in strong radio frequency interference. Another application of MD filters is the processing of signals received with light field cameras. Light field images consist of a 2-D array of images while light field videos consist of a 2D array of videos. Light field videos make the enhancement of moving objects depending on their depth and velocity possible. Recently depth-velocity filters have been developed for this task and are shown to provide better performance than conventional 3-D video or 4-D light field processing. In this talk recent developments in the design of MD filters for broadband beamforming and the design of depth-velocity filters for the processing of light field videos will be presented.
Pan Agathoklis received the Dipl. Ing. degree in electrical engineering and the Dr.Sc.Tech. degree from the Swiss Federal Institute of Technology, Zurich, Switzerland, in 1975 and 1980, respectively. Since 1983, he has been with the Department of Electrical and Computer Engineering, University of Victoria, B.C., Canada, where he is currently a Professor. He has received a NSERC University Research Fellowship and Visiting Fellowships from the Swiss Federal Institute of Technology, from the Australian National University and the University of Perth, Australia. He has been member of the Technical Program Committee of many international conferences and has served as the Technical Program Chair of the 1991 IEEE PACRIM Conference the 1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing and the 2009 ISSPIT. His fields of interest are in control, digital signal processing and their applications. He worked in the design and stability of multidimensional systems, in broadband beamforming, in the application of 2D and 3D filtering in radio astronomy for removing radio interference and in the application of adaptive optics in the development of optical telescopes.
Tom Oomen
Advanced Motion Control: A 2D Perspective
Abstract:
Manufacturing equipment and scientific instruments, including wafer scanners, printing systems, and microscopes, require precise and fast motions. Increasing requirements necessitate explicitly addressing flexible mechanics. In turn, this leads to new mechatronic designs with many actuators and sensors. The aim of this presentation is to identify opportunities and challenges for 2D control in future mechatronic systems. In particular, real-time control enables optimal disturbance attenuation, while task-to-task learning from past errors enables further control performance improvement and the use of additional sensors that are not available in real-time. The increasing complexity in future mechatronic systems necessitates and justifies improved model quality and control algorithm complexity compared to the state-of-the-art, including aspects of overactuation, oversensing, inferential control, and position-dependent control. Recent developments and their experimental demonstration on industrial applications are outlined.
Tom Oomen received the M.Sc. degree (cum laude) and Ph.D. degree from the Eindhoven University of Technology, Eindhoven, The Netherlands. He held visiting positions at KTH, Stockholm, Sweden, and at The University of Newcastle, Australia. Presently, he is an assistant professor with the Department of Mechanical Engineering at the Eindhoven University of Technology. He is a recipient of the Corus Young Talent Graduation Award and the 2015 IEEE Transactions on Control Systems Technology Outstanding Paper Award. He is Associate Editor on the IEEE Conference Editorial Board, IFAC Mechatronics, and the IEEE Control Systems Letters (L-CSS). His research interests are in the field of system identification, robust control, and learning control, with applications in mechatronic systems.
Advanced Motion Control: A 2D Perspective
Abstract:
Manufacturing equipment and scientific instruments, including wafer scanners, printing systems, and microscopes, require precise and fast motions. Increasing requirements necessitate explicitly addressing flexible mechanics. In turn, this leads to new mechatronic designs with many actuators and sensors. The aim of this presentation is to identify opportunities and challenges for 2D control in future mechatronic systems. In particular, real-time control enables optimal disturbance attenuation, while task-to-task learning from past errors enables further control performance improvement and the use of additional sensors that are not available in real-time. The increasing complexity in future mechatronic systems necessitates and justifies improved model quality and control algorithm complexity compared to the state-of-the-art, including aspects of overactuation, oversensing, inferential control, and position-dependent control. Recent developments and their experimental demonstration on industrial applications are outlined.
Tom Oomen received the M.Sc. degree (cum laude) and Ph.D. degree from the Eindhoven University of Technology, Eindhoven, The Netherlands. He held visiting positions at KTH, Stockholm, Sweden, and at The University of Newcastle, Australia. Presently, he is an assistant professor with the Department of Mechanical Engineering at the Eindhoven University of Technology. He is a recipient of the Corus Young Talent Graduation Award and the 2015 IEEE Transactions on Control Systems Technology Outstanding Paper Award. He is Associate Editor on the IEEE Conference Editorial Board, IFAC Mechatronics, and the IEEE Control Systems Letters (L-CSS). His research interests are in the field of system identification, robust control, and learning control, with applications in mechatronic systems.
Tao Liu
Robust two-dimensional control design for industrial batches processes with time-varying uncertainties Abstract:
Two-dimensional (2D) uncertainties along both the time and batch-wise directions are generally involved with industrial batch process operations. It has been increasingly appealed to develop robust iterative learning control (ILC) methods for improving the set-point tracking performance against these 2D uncertainties in engineering applications. In this talk, a series of robust ILC designs will be presented based on our research results explored in the past years, which are divided into two types, direct and indirect ILC methods. The former were developed based on a 2D system description of batch process operation, and the latter were cultivated via set-point learning in terms of the conventional PID or internal model control (IMC) structure. The advantages of these methods are demonstrated through the applications to a few industrial processes and simulation benchmark examples. Finally, some problems and challenges associated with robust ILC design are pointed out, hoping for more attentions by scholars and engineers in the field of control engineering.
Tao Liu received his PhD degree in Control Science and Engineering from Shanghai Jiaotong University, Shanghai, China, in 2006. He had been a postdoctoral research fellow and later a research assistant professor in the Department of Chemical and Biomolecular Engineering at Hong Kong University of Science and Technology from May 2006 to April 2010, and an Alexander von Humboldt research fellow in the Institute of Process Systems Engineering at RWTH Aachen University in Germany from May 2010 to June 2012. He is a professor with the Institute of Advanced Control Technology at Dalian University of Technology. His research interests mainly include chemical and industrial process identification & modeling, robust process control, iterative learning control, batch process optimization. He serves as an associate editor of ISA Transaction, Systems Science and Control Engineering, an editorial board member of Industrial & Engineering Chemistry Research, a member of technical committee on Chemical Process Control of IFAC, technical committee on System Identification and Adaptive Control of the IEEE Control System Society, and the control theory committee and the process control committee in China.
Robust two-dimensional control design for industrial batches processes with time-varying uncertainties Abstract:
Two-dimensional (2D) uncertainties along both the time and batch-wise directions are generally involved with industrial batch process operations. It has been increasingly appealed to develop robust iterative learning control (ILC) methods for improving the set-point tracking performance against these 2D uncertainties in engineering applications. In this talk, a series of robust ILC designs will be presented based on our research results explored in the past years, which are divided into two types, direct and indirect ILC methods. The former were developed based on a 2D system description of batch process operation, and the latter were cultivated via set-point learning in terms of the conventional PID or internal model control (IMC) structure. The advantages of these methods are demonstrated through the applications to a few industrial processes and simulation benchmark examples. Finally, some problems and challenges associated with robust ILC design are pointed out, hoping for more attentions by scholars and engineers in the field of control engineering.
Tao Liu received his PhD degree in Control Science and Engineering from Shanghai Jiaotong University, Shanghai, China, in 2006. He had been a postdoctoral research fellow and later a research assistant professor in the Department of Chemical and Biomolecular Engineering at Hong Kong University of Science and Technology from May 2006 to April 2010, and an Alexander von Humboldt research fellow in the Institute of Process Systems Engineering at RWTH Aachen University in Germany from May 2010 to June 2012. He is a professor with the Institute of Advanced Control Technology at Dalian University of Technology. His research interests mainly include chemical and industrial process identification & modeling, robust process control, iterative learning control, batch process optimization. He serves as an associate editor of ISA Transaction, Systems Science and Control Engineering, an editorial board member of Industrial & Engineering Chemistry Research, a member of technical committee on Chemical Process Control of IFAC, technical committee on System Identification and Adaptive Control of the IEEE Control System Society, and the control theory committee and the process control committee in China.
The conference program will be available later.
- Pan Agathoklis, University of Victoria (CA)
- Tom Oomen, Eindhoven University of Technology (NL)
- Tao Liu, Dalian University of Technology (CN)