TY - GEN
T1 - CPS Testing using Stateless RRT
AU - Chawla, Abhinav
AU - Bak, Stanley
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Cyber-Physical Systems (CPS) are created as complex interactions of multiple physical systems and play a vital role in automating real-life systems. In this work, we present a testing methodology for CPS based on modified version of the Rapidly-exploring Random Tree (RRT) algorithm which is used traditionally to solve the motion planning problem in the context of the CPS testing problem. Directly using RRT for testing CPS requires storing the state of the CPS controller at each node of the RRT which is often memory intensive. Further, the simulator needs to support initialization from arbitrary states, which is not always possible, especially for complex simulation environments. We present our progress towards a modified RRT algorithm where the state of the controller is not required to be saved at each node, and show promising improvements in testing efficiency using a 9-D simulated point example system.
AB - Cyber-Physical Systems (CPS) are created as complex interactions of multiple physical systems and play a vital role in automating real-life systems. In this work, we present a testing methodology for CPS based on modified version of the Rapidly-exploring Random Tree (RRT) algorithm which is used traditionally to solve the motion planning problem in the context of the CPS testing problem. Directly using RRT for testing CPS requires storing the state of the CPS controller at each node of the RRT which is often memory intensive. Further, the simulator needs to support initialization from arbitrary states, which is not always possible, especially for complex simulation environments. We present our progress towards a modified RRT algorithm where the state of the controller is not required to be saved at each node, and show promising improvements in testing efficiency using a 9-D simulated point example system.
KW - Automated Testing
KW - Cyber Physical Systems
KW - RRT
UR - https://www.scopus.com/pages/publications/85134199533
U2 - 10.1109/ICCPS54341.2022.00042
DO - 10.1109/ICCPS54341.2022.00042
M3 - Conference contribution
AN - SCOPUS:85134199533
T3 - Proceedings - 13th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2022
SP - 302
EP - 303
BT - Proceedings - 13th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2022
Y2 - 4 May 2022 through 6 May 2022
ER -