State estimation of timed automata under partial observation [Draft version]
Chao Gao, Dimitri Lefebvre, Carla Seatzu, Zhiwu Li, Alessandro Giua

TL;DR
This paper introduces a method for estimating the current state of partially observable timed automata with a single clock, using zone automaton analysis and an offline algorithm assuming resets at each observable transition.
Contribution
It presents a novel approach for state estimation in timed automata under partial observation, reducing the problem to zone automaton reachability analysis.
Findings
Effective state estimation algorithm for timed automata
Reduction of the problem to discrete zone automaton analysis
Assumption of clock resets at each observable transition
Abstract
In this paper, we consider partially observable timed automata endowed with a single clock. A time interval is associated with each transition specifying at which clock values it may occur. In addition, a resetting condition associated to a transition specifies how the clock value is updated upon its occurrence. This work deals with the estimation of the current state given a timed observation, i.e., a succession of pairs of an observable event and the time instant at which the event has occurred. The problem of state reachability in the timed automaton is reduced to the reachability analysis of the associated zone automaton, which provides a purely discrete event description of the behaviour of the timed automaton. An algorithm is formulated to provide an offline approach for state estimation of a timed automaton based on the assumption that the clock is reset upon the occurrence of…
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Taxonomy
TopicsFormal Methods in Verification · Petri Nets in System Modeling · Machine Learning and Algorithms
