Context-Aware Temporal Logic for Probabilistic Systems

07/11/2020
by   Mahmoud Elfar, et al.
0

In this paper, we introduce the context-aware probabilistic temporal logic (CAPTL) that provides an intuitive way to formalize system requirements by a set of PCTL objectives with a context-based priority structure. We formally present the syntax and semantics of CAPTL and propose a synthesis algorithm for CAPTL requirements. We also implement the algorithm based on the PRISM-games model checker. Finally, we demonstrate the usage of CAPTL on two case studies: a robotic task planning problem, and synthesizing error-resilient scheduler for micro-electrode-dot-array digital microfluidic biochips.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/17/2019

Context-Aware Middleware: A Review

During previous years several studies have introduced the concept of "co...
research
09/15/2018

Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces

We present a novel hierarchical graphical model based context-aware hybr...
research
05/24/2020

RTAMT: Online Robustness Monitors from STL

We present RTAMT, an online monitoring library for Signal Temporal Logic...
research
11/26/2019

Hyperproperties for Robotics: Motion Planning via HyperLTL

There is a growing interest on formal methods-based robotic motion plann...
research
05/05/2020

Context-Oriented Behavioral Programming

Modern systems require programmers to develop code that dynamically adap...
research
04/06/2021

Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systems

Medical Cyber-physical Systems (MCPS) are vulnerable to accidental or ma...
research
08/21/2020

A Context Aware Framework for IoT Based Healthcare Monitoring Systems

This paper introduces an investigation of the healthcare monitoring syst...

Please sign up or login with your details

Forgot password? Click here to reset