Paulo Tabuada was born in Lisbon, Portugal, one year after the Carnation Revolution. He received his “Licenciatura” degree in Aerospace Engineering from Instituto Superior Tecnico, Lisbon, Portugal in 1998 and his Ph.D. degree in Electrical and Computer Engineering in 2002 from the Institute for Systems and Robotics, a private research institute associated with Instituto Superior Tecnico. Between January 2002 and July 2003 he was a postdoctoral researcher at the University of Pennsylvania. After spending three years at the University of Notre Dame, as an Assistant Professor, he joined the Electrical Engineering Department at the University of California, Los Angeles, where he established and directs the Cyber-Physical Systems Laboratory.
Paulo Tabuada’s contributions to cyber-physical systems have been recognized by multiple awards including the NSF CAREER award in 2005, the Donald P. Eckman award in 2009 and the George S. Axelby award in 2011. In 2009 he co-chaired the International Conference Hybrid Systems: Computation and Control (HSCC’09) and in 2012 he was program co-chair for the 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys’12). He also served on the editorial board of the IEEE Embedded Systems Letters and the IEEE Transactions on Automatic Control. His latest book, on verification and control of hybrid systems, was published by Springer in 2009.
Luke Muehlhauser: In “Abstracting and Refining Robustness for Cyber-Physical Systems,” you and your co-author write that:
…we present a design methodology for robust cyber-physical systems (CPS) [which]… captures two intuitive aims of a robust design: bounded disturbances have bounded consequences and the effect of sporadic disturbances disappears as time progresses.
You use an “abstraction and refinement” procedure for this. How does an abstraction and refinement procedure work, in this context?
Paulo Tabuada: Cyber-physical systems are notoriously difficult to design and verify because of the complex interactions between the cyber and the physical components. Although control theorists have developed powerful techniques for designing and analyzing physical components, say described by differential equations, and computer scientists have developed powerful techniques for designing and analyzing cyber components, say described by finite-state models, these techniques are for the most part incompatible. The latter rely on discrete mathematics while the former rely on continuous mathematics. Our approach is based on replacing all the physical components by cyber abstractions so that all the remaining design and verification tasks can be done in the cyber world. The construction of these abstractions is based on rigorous numerical simulation combined with an analysis of the differential equation models to guarantee that the original physical components and its abstractions are equivalent up to a desired precision. Technically, “equivalent up to a desired precision” means approximately bisimilar and intuitively this means that both models generate the same set of behaviors up to a desired precision.
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