The aim of the workshop is to provide the communities of safety/reliability analysis and of DES (Discrete Event Systems) with an opportunity to exchange information and new ideas, and to discuss new developments in the field of Dependable Control of Discrete Event Systems. Researches in this field are driven by the needs of many different application domains, such as production systems, transport systems, automotive, embedded systems, etc.

Several research results recently issued by the two communities are able of bringing partial solutions to dependability requirements of these application domains. Fault-forecasting using dynamic fault-tree analysis, dependability modeling with Bayesian networks, fault-tolerant systems design, formal verification of control software, timed and probabilistic model-checking, fault detection and isolation, diagnosis and prognosis for DES, for instance, provide promising solutions to increase control systems dependability. Nevertheless, none of these approaches is able to provide a global solution. Hence, there is a need to bridge the gaps between the different models, methods, and tools that are proposed so as to improve the design and the operation of Dependable Control of Discrete Systems.

Gathering researchers of the two communities, this workshop will favor exchanges and will contribute to a better interdisciplinary approach for control dependability improvement. Works focusing on dependability improvement when designing and implementing the system ("off-line" approaches) as well as during system operation ("on-line" approaches) will be considered.

The workshop will cover all topics related to the specification, design, implementation, test and operation of dependable controllers for critical DES, including (but not limited to) the following:

* Formal methods for safety/reliability/availability analysis
* Modeling and analysis of timed, probabilistic and stochastic systems
* Conformance testing, model-based testing
* Monitoring, FDI, diagnosis and prognosis for Discrete Event Systems
* Reconfigurable control and fault-tolerant control of Discrete Event Systems
* Dependability and control of reconfiguring and self-organizing systems
* Interdisciplinary approaches for dependability improvement
* Applications including (but not limited to) the following:
o Manufacturing and production systems
o Transport, automotive systems
o Power generation and distribution
o Mechatronics and embedded systems
o Networked Systems
o Medical, Healthcare, and Assisted Living