Formal Analysis of Networked PLC Controllers Interacting with Physical Environments

TL;DR

This paper introduces a comprehensive formal framework for analyzing networked PLC controllers interacting with physical environments, addressing the limitations of existing methods by integrating discrete, continuous, and networked behaviors.

Contribution

It presents a unified formal model combining PLC semantics, physical dynamics, and network communication, with partial order reduction to improve analysis efficiency.

Findings

Effective reduction in state space exploration

Precise analysis of networked PLC systems with physical interactions

Framework maintains correctness while handling complex behaviors

Abstract

Programmable Logic Controllers (PLCs) are widely used in industrial automation to control physical systems. As PLC applications become increasingly complex, ensuring their correctness is crucial. Existing formal verification techniques focus on individual PLC programs in isolation, often neglecting interactions with physical environments and network communication between controllers. This limitation poses significant challenges in analyzing real-world industrial systems, where continuous dynamics and communication delays play a critical role. In this paper, we present a unified formal framework that integrates discrete PLC semantics, networked communication, and continuous physical behaviors. To mitigate state explosion, we apply partial order reduction, significantly reducing the number of explored states while maintaining correctness. Our framework enables precise analysis of PLC-driven systems with continuous dynamics and networked communication.