CPS Week 2018 Advance Program ‧ R01 - Palácio da Bolsa - Level 0 - Pátio das Nações
This combined program is provided 'as is'. More up-to-date information may be avalialbe at each event's official websites.
CPS Week 2018 Program Overview
R01 - Palácio da Bolsa - Level 0 - Pátio das Nações
Palácio da BolsaHall of Nations - R01 (Level 0)
R. de Ferreira Borges, 4050-253 Porto
The full restoration of the patio and its dome was initiated in 2007 and concluded in 2008. This structure has some modernizations concerning air circulation being already equipped with automatic louvered vents, precipitation sensors and anemometers that measure the wind speed.
The coat of arms had a technical intervention between 2014 and 2015.
www.palaciodabolsa.com
April 10
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| 09:00 - 10:00 | F1/10 | F1/10 Competition Trials |
| 10:30 - 11:30 | F1/10 | F1/10 Competition Trials |
| 12:00 - 13:30 | MSCPES | Lunch |
| 12:25 - 14:00 | SmartFarming | Lunch |
| 12:30 - 12:45 | CPS-INTL | Lunch Pick-Up |
| 12:30 - 14:00 | Lunch | |
| 12:30 - 14:00 | MCPS | Lunch |
| 12:30 - 14:00 | CySWater | Lunch |
| 13:00 - 14:00 | MT-CPS | Lunch |
| 14:30 - 15:30 | F1/10 | F1/10 Competition Trials |
| 16:00 - 17:00 | F1/10 | F1/10 Competition Trials |
April 11
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| 09:00 - 10:00 | CPS Week Keynote How Can We Rely on Cyber-Physical Systems with Thousands of Software Bugs? Henrique Madeira, University of Coimbra Cyber-physical systems (CPS) are made of software. Lots of it. Small embedded devices may easily reach millions of lines of code. Large scale CPS have billions. Even using the most skeptic bug density estimations for deployed software, there is no escape from the conclusion that most CPS have many thousands of residual bugs. Unfortunately, no one knows exactly where they are in the code, when they will reveal themselves, and, above all, what the consequences of their activation can be. In CPS with demanding safety requirements or exposed to security attacks (which may exploit residual bugs that may also represent security vulnerabilities), residual bugs represent a serious risk. Worse than that, it is not easy to estimate such risk. Hence, paraphrasing a famous Jim Gray's question: Why are residual software bugs a serious threat to CPS and what can be done about it? Attempting to answer this question, the talk provides field data illustrating some key problems, surveys software reliability limits, discusses why it is not trivial to use classic fault tolerance techniques in many CPS, and proposes some futuristic scenarios that may help deal with the residual software bug problem. | |
| 12:30 - 14:00 | Lunch | |
| 15:00 - 19:00 | F1/10 | F1/10 Competition Races |
April 12
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| 09:00 - 10:00 | CPS Week Keynote Dependable Industrial Internet of Things Chenyang Lu, Washington University in St. Louis IoT-driven control underpins numerous cyber-physical systems from Industrial Internet to smart cities. In contrast to best-effort IoT often found in consumer markets, there remain daunting challenges to develop IoT systems that must not only monitor but also control physical systems in a dependable fashion. We will highlight the dependability challenges caused by communication delays, data loss and resource constraints of IoT. We will further discuss cyber-physical co-design as a fundamental approach to achieve dependability in IoT-driven control systems. | |
| 12:30 - 14:00 | Lunch | |
April 13
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| 09:00 - 10:00 | CPS Week Keynote From Rags to Riches - Distributed Economic Model Predictive Control in Industry 4.0 Frank Allgower, University of Stuttgart During the past decades model predictive control (MPC) has become a preferred control strategy for the control of a large number of industrial processes. Systems theoretic properties of MPC, like stability and robustness, are rather well understood by now, as are computational issues in connection with the MPC implementation. With the vision of the smart factory of the future, generally termed Industry 4.0, the industrial environment, and thus the involved control tasks, are however undergoing a fundamental new orientation on the basis of the Cyber-Physical Systems and Internet of Things and Services paradigms. In the future all parts along the production chain will be equipped with embedded computing, communication and networking capabilities and are expected to interact in an optimal way towards the goal of a quality oriented, energy and resource efficient, save and reliable production process. Through decentralized optimal decision-making and an appropriate communication among the networked individual parts, the whole production process of the future is expected to operate optimally. The generation of economic value through control will step in the foreground while the stabilization of predetermined setpoints will not play the same role as it has in the past. In this presentation an introduction to the state of the art in Model Predictive Control will be given and the challenges and opportunities of Industry 4.0 for the field of control are discussed. We will in particular investigate the potential impact of Model Predictive Control (MPC) for the fourth industrial revolution and will argue that some new developments in MPC, especially connected to distributed and economic model predictive control, appear to be ideally suited to have a potential impact in the new Industry 4.0 environment. | |
| 12:30 - 14:00 | Lunch | |
| 12:30 - 14:00 | CPS.Edu | Lunch |
| 18:00 - 18:15 | CPS Week Farewell |