- Quadratic Invariance for Distributed Control Systems with Intermittent Observations. 57th IEEE Conference on Decision and Control (CDC), 2018 mehr… BibTeX
- Information-constrained Optimal Control of Distributed Systems with Power Constraints. European Control Conference (ECC), 2018 mehr… BibTeX
- A Decentralized Consistent Policy for Event-triggered Control over a Shared Contention-based Network. 57th IEEE Annual Conference on Decision and Control (CDC), IEEE, 2018 mehr… BibTeX
- An Optimal LQG Controller for Stochastic Event-triggered Scheduling over a Lossy Communication Network. 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), IFAC, 2018 mehr… BibTeX
- Separation in Coupled Event-Triggered Networked Control Systems. 20th World Congress The International Federation of Automatic Control, IFAC, 2017 mehr… BibTeX
- Separation Principle in Event-triggered Interconnected Networked Control Systems. International Symposium on Networked Cyber-Physical Systems 2016 mehr… BibTeX
oCPS - Optimizing Cyber-Physical Systems
The oCPS – ITN is an Innovative Training Network funded by the European Commission through its Marie Skłodowska-Curie Actions and brings together universities, research centres and companies from different countries worldwide to train a new generation of researchers. Concretely, 15 PhD students receive funding through this programme for a duration of 36 months within the 48 months project duration to pursue their PhD at research institutions and industry partners and having secondments in the other sector respectively. The project started November 1st 2015 and our 15 ESRs (Early Stage Researchers, PhD Students) are starting to work at the respective institutions after the initial recruitment phase from spring 2016 on (depending on each ones individual situation). They will meet on a regular basis for training and networking events, starting from September 2016. This will lead to a close collaboration between all involved institutions and a regular exchange of information. The main objective of the Platform-aware Model-driven Optimization of Cyber-Physical Systems (oCPS) program is to form a multi-disciplinary research and education network bringing together all disciplines relevant for CPS to form a scientific basis to (i) develop model-driven design techniques for CPS and (ii) introduce platform-awareness in the design trajectories. Such techniques should allow dealing with tradeoffs towards cost-effective, quality-driven, reliable design of the CPS of the future. The program aims to train a generation of young researchers in cross-disciplinary thinking and deliver industrially validated tool chains. We bring together the state of the practice through six key industrial players, including SMEs, and the state of the art through four top universities and one research institute across Europe.