Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

   

Joint Colloquium Distinguished Lecture Series

On Optimal and Reasonable Control in the Presence of Adversaries

blank image Wednesday, August 31st
HP Auditorium, Soda Hall
4:00

Oded Maler
CNRS-VERIMAG Grenoble France

Abstract:

Many problems in numerous domains related to the design and analysis of systems can be seen, if looked at through an appropriate abstraction, as variations and special cases of one fundamental problem, namely the problem of finding a strategy in a two-player dynamic game. In this game, player I is the "controller", the system that we design, and player II is the "environment" that generates events beyond our control. Variants of this problem differ from each other by the nature of the state space and time domain on which the game is defined (discrete, continuous, timed, hybrid), by the classes of cost function (additive over time, discrete), and by the way the outcome is quantified over the actions of the adversary (worst case, average case). In this talk I will sketch a generic model for this problem whose instances include verification by model-checking, optimal and model-predictive control, AI planning and game playing, Markov decision processes, scheduling and more. I will identify three classes of techniques which are commonly-used for computing solutions: 1) Restriction to a finite time horizon and reduction to a constrained optimization problem (SAT, LP, mixed) 2) Backward value iteration (dynamic programming, fix point computation, HJB) 3) Heuristic forward search in the space of partial strategies In the second part of the talk I will sketch some work on one instance of this scheme, the problem(s) of scheduling under uncertainty, where the controller is a scheduler, allocating resources to tasks and the environment may dynamically affect task specifications, task durations or resource availability. I will show how such situations can be modeled naturally using timed automata and, sometimes, be solved algorithmically.

Biography:

Oded Maler was born in 21.2.57 in Haifa, Israel. He obtained his B.A. in Computer Science from the Technion, Haifa in 1979 and his M.Sc. in Management Science from the University of Tel-Aviv at 1984. In 1989 he finished his Ph.D. thesis ( Finite Automata: Infinite Behavior, Learnability and Decomposition ), under the liberal supervision of A. Pnueli in the department of Applied Mathematics and Computer Science, Weizmann Institute, Rehovot. After two years of post-doc at IRISA, Rennes, he moved to Grenoble at 1992 and obtained a research position (CR1) at the CNRS (French National Center of Scientific Research) in 1994. He has been promoted to "research director" (DR2) in 2001.

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