The behavior of reactive systems is typically speci ed by state machines. This results in an operational description of how a system its output. An alternative and more abstract ap...
We propose a new method for system validation by means of testing, which is based on environment models expressed as UML state machines. A sun blind control case study serves to il...
Maritta Heisel, Denis Hatebur, Thomas Santen, Dirk...
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
We present a state of the art read-only distributed shared memory (DSM) ray tracer capable of fully utilizing modern cluster hardware to render massive out-of-core polygonal model...
Abstract. Code generation from models is the ultimate goal of model-based design. For real-time systems the generated code must be analyzable for the worstcase execution time (WCET...
Martin Schoeberl, Christopher Brooks, Edward A. Le...