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Self-optimization enables technical systems to adapt their behavior to varying environmental conditions and changing operation modes. Objective functions serve as evaluation criteria for the system behavior. In this paper we present a novel approach of an objective-based controller. This controller is based on Pareto sets, which are solutions of multiobjective optimization problems and computed offline...
Self-optimizing mechatronic systems allow the adaptation of the system's behavior to the current situation. This can be used to actively adapt the behavior to the current degradation state of the system or of some of its components. To this end, the Multi-Level Dependability Concept has been developed.
In this contribution we present a new, objective-based controller which works on the basis of a Pareto set, that is the solution of a multiobjective optimization problem. The controller can be used for self-optimizing systems to adapt the system behavior in terms of the desired objectives in spite of unknown disturbances over time. New system configurations are computed, that fit best to the current...
Toxoplasma gondii is an intracellular parasite that has to cope with the microbicidal actions of IFNγ. Previously we reported that parasite-mediated induction of suppressor of cytokine signaling protein 1 (SOCS1) contributes to inhibition of IFNγ signaling. However, the signaling requirements remained elusive. We now show that induction of SOCS1 and inhibition of nitric oxide production by IFNγ was...
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