ω-automaton

About: ω-automaton is a research topic. Over the lifetime, 2299 publications have been published within this topic receiving 68468 citations. The topic is also known as: stream automaton & ω-automata.

Timed I/O automata: a mathematical framework for modeling and analyzing real-time systems

Abstract: We describe the timed input/output automata (TIOA) framework, a general mathematical framework for modeling and analyzing real-time systems. It is based on timed I/O automata, which engage in both discrete transitions and continuous trajectories. The framework includes a notion of external behavior, and notions of composition and abstraction. We define safety and liveness properties for timed I/O automata, and a notion of receptiveness, and prove basic results about all of these notions. The TIOA framework is defined as a special case of the new hybrid I/O automata (HIOA) modeling framework for hybrid systems. Specifically, a TIOA is an HIOA with no external variables; thus, TIOAs communicate via shared discrete actions only, and do not interact continuously. This restriction is consistent with previous real-time system models, and gives rise to some simplifications in the theory (compared to HIOA). The resulting model is expressive enough to describe complex timing behavior, and to express the important ideas of previous timed automata frameworks.

LTL to büchi automata translation: fast and more deterministic

Abstract: We introduce improvements in the algorithm by Gastin and Oddoux translating LTL formulae into Buchi automata via very weak alternating co-Buchi automata and generalized Buchi automata. Several improvements are based on specific properties of any formula where each branch of its syntax tree contains at least one eventually operator and at least one always operator. These changes usually result in faster translations and smaller automata. Other improvements reduce non-determinism in the produced automata. In fact, we modified all the steps of the original algorithm and its implementation known as LTL2BA. Experimental results show that our modifications are real improvements. Their implementations within an LTL2BA translation made LTL2BA very competitive with the current version of SPOT, sometimes outperforming it substantially.

The Algebraic Theory of Automata

Abstract: Much scientific work today is directed towards understanding complexity — the complexity of numerical algorithms, of the English syntax, of living organisms or ecological systems, to cite only a few examples. The aim of this chapter is to introduce the reader to the theory of discrete information processing systems (automata) and to develop an algebraic framework within which we can talk about their complexity.

A formal model of computing with words

Abstract: Classical automata are formal models of computing with values. Fuzzy automata are generalizations of classical automata where the knowledge about the system's next state is vague or uncertain. It is worth noting that like classical automata, fuzzy automata can only process strings of input symbols. Therefore, such fuzzy automata are still (abstract) devices for computing with values, although a certain vagueness or uncertainty are involved in the process of computation. We introduce a new kind of fuzzy automata whose inputs are instead strings of fuzzy subsets of the input alphabet. These new fuzzy automata may serve as formal models of computing with words. We establish an extension principle from computing with values to computing with words. This principle indicates that computing with words can be implemented with computing with values with the price of a big amount of extra computations.