Formal Abstraction of Linear Systems via Polyhedral Lyapunov Functions
For control theorists and verification engineers, this provides a novel method to generate finite abstractions for linear systems with polytopic observations, but the approach is incremental as it builds on existing Lyapunov-based techniques.
The paper presents an abstraction algorithm that produces a finite bisimulation quotient for autonomous discrete-time linear systems using polyhedral Lyapunov functions, enabling verification of Linear Temporal Logic properties over polytopic observations.
In this paper we present an abstraction algorithm that produces a finite bisimulation quotient for an autonomous discrete-time linear system. We assume that the bisimulation quotient is required to preserve the observations over an arbitrary, finite number of polytopic subsets of the system state space. We generate the bisimulation quotient with the aid of a sequence of contractive polytopic sublevel sets obtained via a polyhedral Lyapunov function. The proposed algorithm guarantees that at iteration $i$, the bisimulation of the system within the $i$-th sublevel set of the Lyapunov function is completed. We then show how to use the obtained bisimulation quotient to verify the system with respect to arbitrary Linear Temporal Logic formulas over the observed regions.