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This paper deals with model checking problems with respect to LTL properties under fairness assumptions. We first present an efficient algorithm to deal with a fragment of fairness assumptions and then extend the algorithm to handle arbitrary ones. Notably, by making use of some syntactic transformations, our algorithm avoids constructing corresponding Büchi automata for the whole fairness assumptions,...
The application of fence methodology on the optimal operation of heavy haul trains through model predictive control (MPC) approach is investigated in this paper. This is mainly motivated by the fact that without fencing, the large number of cars in a long heavy haul train present difficulties in solving the train optimal operation problem under MPC framework. Firstly, the large car number leads to...
This paper first carried on the analysis to the dynamic and complex trend in environment development. According to the dynamic and complex environment, we analyzed the orientation to sustainable competitive advantage in enterprise knowledge innovation. Based on this, we bring forward the sustainable time dimension and comprehensive open space dimension of knowledge innovation. Finally, three principles...
Probabilistic model checking has emerged as a versatile system verification approach, but is frequently facing state-space explosion problems. One promising attack to this is to construct an abstract model which simulates the original model, and to perform model checking on that abstract model. Recently, efficient algorithms and optimizations for deciding simulation of probabilistic models have been...
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