Networked cyber-physical systems: Interdependence, resilience and information exchange

Ubiquitous in modern critical infrastructure, networked cyber-physical systems (CPSs) are a collection of task-oriented systems whose cyber and physical resources are conjoined and coordinated to achieve unprecedented capabilities. In this paper, we study how physically independent systems can be made interdependent in the CPS context. In order to understand such interdependencies, we establish a system framework to investigate the effect of cyber coupling on physical control systems. In particular, we study the optimal control of networked control system jointly with power control problems in wireless communication networks. We show that the information exchange between cyber and physical layers not only makes the control system more efficient but also enhances its resilience to adversarial behaviors. In addition, as a result of interdependencies, a jamming attack on one CPS can benefit the performance of the other CPS. We use a two-CPS case study to demonstrate performance of the coupled system at both the physical and cyber layers.

[1]  Radha Poovendran,et al.  Cyber-Physical Systems: Close Encounters Between Two Parallel Worlds [Point of View] , 2010, Proc. IEEE.

[2]  Danielle C. Tarraf Control of cyber-physical systems : workshop held at the Johns Hopkins University, March 2013 , 2013 .

[3]  Yue Wang,et al.  Control of cyberphysical systems using passivity and dissipativity based methods , 2013, Eur. J. Control.

[4]  Tamer Basar,et al.  Optimal control of LTI systems over unreliable communication links , 2006, Autom..

[5]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[6]  Eitan Altman,et al.  CDMA Uplink Power Control as a Noncooperative Game , 2002, Wirel. Networks.

[7]  Stephen P. Boyd,et al.  Optimal power control in interference-limited fading wireless channels with outage-probability specifications , 2002, IEEE Trans. Wirel. Commun..

[8]  Xiaofeng Wang,et al.  L1Simplex: Fault-tolerant control of cyber-physical systems , 2013, 2013 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS).

[9]  Tansu Alpcan,et al.  A power control game based on outage probabilities for multicell wireless data networks , 2004, IEEE Transactions on Wireless Communications.

[10]  Quanyan Zhu,et al.  Robust and resilient control design for cyber-physical systems with an application to power systems , 2011, IEEE Conference on Decision and Control and European Control Conference.

[11]  Quanyan Zhu,et al.  Enabling differentiated services using generalized power control model in optical networks , 2009, IEEE Transactions on Communications.

[12]  Quanyan Zhu,et al.  State-space approach to pricing design in OSNR Nash game , 2008 .

[13]  T. Başar,et al.  Dynamic Noncooperative Game Theory , 1982 .

[14]  Tamer Basar,et al.  Stochastic Networked Control Systems , 2013 .

[15]  Tamer Basar,et al.  Stochastic Networked Control Systems: Stabilization and Optimization under Information Constraints , 2013 .

[16]  Quanyan Zhu,et al.  A dynamic game-theoretic approach to resilient control system design for cascading failures , 2012, HiCoNS '12.

[17]  Quanyan Zhu,et al.  Resilient Distributed Control of Multi-agent Cyber-Physical Systems , 2013, CPSW@CISS.