We define a compositional operational semantics for state machines and their composition in UML. Each state machine describes the behavior of an object of a class. If a class of a...
Harald Fecher, Marcel Kyas, Willem P. de Roever, F...
We model semantic interpretation operationally: constituents interact as their combination in discourse evolves from state to state. The states are recursive data structures and ev...
This paper introduces an application and a methodology to predict future states of a process under real-time requirements. The real-time functionality is achieved by creating a Ba...
Exploring a graph through search is one of the most basic building blocks of various applications. In a setting with a huge state space, such as in testing and verification, optim...
Abstract--This paper presents a full state feedback adaptive dynamic inversion method for uncertain systems that depend nonlinearly upon the control input. Using a specialized set ...