M
Munther A. Dahleh
Researcher at Massachusetts Institute of Technology
Publications - 416
Citations - 14269
Munther A. Dahleh is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Optimal control & Linear system. The author has an hindex of 56, co-authored 405 publications receiving 13302 citations. Previous affiliations of Munther A. Dahleh include Georgia Institute of Technology & Texas A&M University.
Papers
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Journal ArticleDOI
Distributed control of spatially invariant systems
TL;DR: It is shown that optimal controllers have an inherent degree of decentralization, and this provides a practical distributed controller architecture and a general result that applies to partially distributed control and a variety of performance criteria is proved.
Journal ArticleDOI
Real-Time Motion Planning for Agile Autonomous Vehicles
TL;DR: In this paper, a randomized path planning architecture for dynamical systems in the presence of fixed and moving obstacles is proposed, which can be applied to vehicles whose dynamics are described either by ordinary differential equations or by higher-level, hybrid representations.
Journal ArticleDOI
Bayesian Learning in Social Networks
TL;DR: The main theorem shows that when the probability that each individual observes some other individual from the recent past converges to one as the social network becomes large, unbounded private beliefs are sufficient to ensure asymptotic learning.
Proceedings ArticleDOI
Real-time motion planning for agile autonomous vehicles
TL;DR: This paper proposes a randomized motion planning architecture for dynamical systems in the presence of fixed and moving obstacles that addresses the dynamic constraints on the vehicle's motion, and it provides at the same time a consistent decoupling between low-level control and motion planning.
Book
Control of Uncertain Systems: A Linear Programming Approach
TL;DR: In this article, three branches of mathematics, operator theory, optimisation theory and algebraic theory of rational marix functions, are combined to capture the fundamental limitations of design in a quantitative way, and provide computable methods for analysis and synthesis of control systems.