This paper considers the development of a method for abstracting continuous dynamical systems by timed automata. The method is based on partitioning the state space of dynamical systems with invariant sets, which form cells representing locations of the timed automata. To enable verification of the dynamical system based on the abstraction, conditions for obtaining sound, complete, and refinable abstractions are set up. It is proposed to partition the state space utilizing sub-level sets of Lyapunov functions, since they are positive invariant sets. The existence of sound abstractions for Morse-Smale systems and complete and refinable abstractions for linear systems are shown
This paper deals with the representation of continuous system dynamics into a timed discrete-event f...
We present a technique designed to automatically compute predicate abstractions for dense real-timed...
We present an algorithm that generates invariants for real-time models. The algorithm, further, prun...
Abstract — In this report proofs are presented for a method for abstracting continuous dynamical sys...
This paper presents a method for abstracting continuous dynamical systems by timed automata. The abs...
In this work, we continue our study on discrete abstractions of dynamical systems. To this end, we u...
To enable formal verification of a dynamical system, given by a set of differential equations, it is...
This paper addresses the generation of complete abstractions of polynomial dynamical systems by time...
This paper proposes an LMI-based algorithm for abstracting dynamical systems by timed automata, whic...
This paper addresses the generation of complete abstractions of polynomial dynamical systems by time...
This paper proposes a method for abstracting control sys-tems by timed game automata, and is aimed a...
Abstract: In this paper we present an abstraction algorithm that produces a finite bisimulation quot...
The reachability problem, whether some unsafe state can be reached, is known to be undecidable for n...
In this paper we present an abstraction algorithm that produces a finite bisimulation quotient for a...
Abstract — We consider temporal logic verification of (pos-sibly nonlinear) dynamical systems evolvi...
This paper deals with the representation of continuous system dynamics into a timed discrete-event f...
We present a technique designed to automatically compute predicate abstractions for dense real-timed...
We present an algorithm that generates invariants for real-time models. The algorithm, further, prun...
Abstract — In this report proofs are presented for a method for abstracting continuous dynamical sys...
This paper presents a method for abstracting continuous dynamical systems by timed automata. The abs...
In this work, we continue our study on discrete abstractions of dynamical systems. To this end, we u...
To enable formal verification of a dynamical system, given by a set of differential equations, it is...
This paper addresses the generation of complete abstractions of polynomial dynamical systems by time...
This paper proposes an LMI-based algorithm for abstracting dynamical systems by timed automata, whic...
This paper addresses the generation of complete abstractions of polynomial dynamical systems by time...
This paper proposes a method for abstracting control sys-tems by timed game automata, and is aimed a...
Abstract: In this paper we present an abstraction algorithm that produces a finite bisimulation quot...
The reachability problem, whether some unsafe state can be reached, is known to be undecidable for n...
In this paper we present an abstraction algorithm that produces a finite bisimulation quotient for a...
Abstract — We consider temporal logic verification of (pos-sibly nonlinear) dynamical systems evolvi...
This paper deals with the representation of continuous system dynamics into a timed discrete-event f...
We present a technique designed to automatically compute predicate abstractions for dense real-timed...
We present an algorithm that generates invariants for real-time models. The algorithm, further, prun...