As computers, communication bandwidth become increasingly faster and cheaper, computing and communication capabilities will be embedded in interconnected devices placed in complex physical environments. We refer to systems that bridge the cyber-world of computing and communications with the physical one as cyber-physical systems (CPS). The convergence of such disciplines raises significant engineering challenges because of the scale, the need to bridge physical and software domains, and the need to operate efficiently, securely and reliably. We propose to develop innovative methods and tools for three critical sub-problems: 1) Efficient Resource Allocation, i.e. the capability to efficiently parse the potentially enormous amount of data to distill the information relevant to failure/attack detection, estimation, control, and decision-making; 2-) Security, i.e. the capability to detect malicious attacks, to guarantee continuity of operations with gracefully decreased functionalities, and to ultimately thwart attacks by reconfiguring and restoring full functionality; 3-) Robustness/ Reconfigurability, i.e. the capability to handle change. In this talk we will discuss novel approaches for sensor scheduling to address energy efficiency and performance guarantees with respect to estimation and detection applications. Motivated by an example we will then explore the relationship between security and control systems. Finally we will describe our approach to decreasing energy consumption in data centers.
Bruno Sinopoli received the Dr. Eng. degree from the University of Padova in 1998 and his M.S. and Ph.D. in Electrical Engineering from the University of California at Berkeley, in 2003 and 2005 respectively, along with the Management of Technology Certificate from the Haas Business School. After a postdoctoral position at Stanford University, Dr. Sinopoli joined the faculty at Carnegie Mellon University where he is an assistant professor in the Department of Electrical and Computer Engineering with courtesy appointments in Mechanical Engineering and in the Robotics Institute. Dr. Sinopoli was awarded the 2006 Eli Jury Award for outstanding research achievement in the areas of systems, communications, control and signal processing at U.C. Berkeley. His research interests include networked embedded control systems, distributed estimation and control with applications to wireless sensor-actuator networks and systems security.
