Modelling and Analysis for Cyber-Physical Systems: An SMT-based approach
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IL code rewriting Binary emit Reflection emit Figure 2.2: An architecture of an SMT solver 2.
32 Figures and Tables
Figure 1.1: A detailed look at an Amazon’s octocopter
Figure 1.2: An iterative process of model-based design of Cyber-Physical Systems 
Figure 1.3: Trajectories of different classes of hybrid automata
Figure 2.1: An example trace of SMT solving
Figure 2.2: An architecture of an SMT solver
Figure 2.3: A 8× 8 chessboard with a feasible solution
Figure 2.4: Diagonal constraints for N-Queens problems with N=8
Figure 2.5: A trajectory on observation intervals
Figure 2.6: Example: Recovery from Damages
Figure 3.1: A simple Kripke structure
Table 3.1: Sizes of generated formulas
Figure 3.10: Routing trends of DEHAR nodes after 720h
Figure 3.13: νZ system architecture
Figure 3.14: MaxSAT 2014 competition evaluation results
Table 3.2: An example trace of the algorithm QT
Figure 3.3: A breakdown of a generated formula
Table 3.3: Different configurations for experimentation
Figure 3.4: Task graph denoting a round of quantifier alternation
Table 3.4: Generated benchmarks coming from the Duration Calculus model checking algorithm
Figure 3.5: An illustration of an extrapolant C = 〈A, B〉
Table 3.5: Shipments that requires transportation
Figure 3.6: A network structure with shadowed nodes
Table 3.6: Available trucks for transportation
Figure 3.7: Architecture of an energy-harvesting sensor node
Table 3.7: Evaluation of νZ on selected examples
Figure 3.8: Fundamental types and operations
Figure 3.9: Amount of messages of DEHAR nodes after 720h
Figure 4.1: Users’ maximal tolerance w.r.t. noise levels
Figure 4.2: Pricing structure of energy supply
Figure 4.3: A WSN consisting of nodes in a chain topology
Figure 4.4: Residual and harvested energy during 15 periods
Figure 4.5: Number of messages sent, received and observed during 15 periods
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