2003
DOI: 10.1007/3-540-36580-x_36
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Model Checking LTL over Controllable Linear Systems Is Decidable

Abstract: Abstract. The use of algorithmic verification and synthesis tools for hybrid systems is currently limited to systems exhibiting simple continuous dynamics such as timed automata or rectangular hybrid systems. In this paper we enlarge the class of systems amenable to algorithmic analysis and synthesis by showing decidability of model checking Linear Temporal Logic (LTL) formulas over discrete time, controllable, linear systems. This result follows from the construction of a language equivalent, finite abstracti… Show more

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Cited by 73 publications
(63 citation statements)
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References 28 publications
(32 reference statements)
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“…Temporal logic model-checking problems are not decidable for most general hybrid systems. However, decidability results have been proven for some particular classes of hybrid systems (see [4,54] for a survey). These classes must be restricted either in continuous dynamics (e.g.…”
Section: Hybrid Systems Analysis: a Brief Reviewmentioning
confidence: 99%
“…Temporal logic model-checking problems are not decidable for most general hybrid systems. However, decidability results have been proven for some particular classes of hybrid systems (see [4,54] for a survey). These classes must be restricted either in continuous dynamics (e.g.…”
Section: Hybrid Systems Analysis: a Brief Reviewmentioning
confidence: 99%
“…In order to rewrite the dynamics of the system into shift register form it first needs to be put on Brunovsky normal form [7], for which a controllable linearized form of the system is needed.…”
Section: Shift Register Formmentioning
confidence: 99%
“…A discrete state space Z 2 of R 2 is now introduced, as described in [7], which is used to form the space in which the shift-register form system will operate. The 3 domains in which the system operates is, with reference to figure 4, the Arc Length Control (q 1 ), the Metal Transfer Control (q 2 ) and the Short Circuit Control (q 3 ).…”
Section: State Space Partitioningmentioning
confidence: 99%
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