Dynamic games for secure and resilient control system design

Abstract

Modern control systems are featured by their hierarchical structure composed of cyber, physical and human layers. The intricate dependencies among multiple layers and units of modern control systems require an integrated framework to address cross-layer design issues related to security and resilience challenges. To this end, game theory provides a bottom-up modeling paradigm to capture the strategic interactions among multiple components of the complex system and enables a holistic view to understand and design cyber-physical-human control systems. In this review, we first provide a multi-layer perspective toward increasingly complex and integrated control systems and then introduce several variants of dynamic games for modeling different layers of control systems. We present game-theoretic methods for understanding the fundamental tradeoffs of robustness, security and resilience and developing a cross-layer approach to enhance the system performance in various adversarial environments. This review also includes three quintessential research problems that represent three research directions where dynamic game approaches can bridge between multiple research areas and make significant contributions to the design of modern control systems. The paper is concluded with a discussion on emerging areas of research that crosscut dynamic games and control systems.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 16, 2020
Source ID
10.1093/nsr/nwz218

Entities

People

  • Juntao Chen
  • Linan Huang
  • Quanyan Zhu
  • Yunhan Huang

Organizations

  • Army Research Office
  • National Science Foundation
  • New York University
  • United States Department of Homeland Security

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • Cyber