P
Paulo Tabuada
Researcher at University of California, Los Angeles
Publications - 300
Citations - 25801
Paulo Tabuada is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Control system & Control theory. The author has an hindex of 60, co-authored 288 publications receiving 20444 citations. Previous affiliations of Paulo Tabuada include University of California, Berkeley & Instituto Superior Técnico.
Papers
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Proceedings ArticleDOI
Abstractions of Hamiltonian control systems
Paulo Tabuada,George J. Pappas +1 more
TL;DR: This work shows how the mechanical structure of Hamiltonian control systems can be exploited to simplify the abstraction computations and it provides conditions under which the local accessibility properties of the abstracted Hamiltonian system are equivalent to the local access property of the original Hamiltoniancontrol system.
Satellite Attitude Control Problem, pp 393-432 in Control of Complex Systems (Edd.: K. Åström, P. Albertos, M. Blanke, A. Isidori, W. Schaufelberger)
Rafal Wisniewski,Alessandro Astolfi,Thomas Bak,Mogens Blanke,Pedro U. Lima,K. Spindler,Paulo Tabuada,P. Tavares +7 more
Journal ArticleDOI
Robustness of Control Barrier Functions for Safety Critical Control
TL;DR: In this article, a control barrier function can be combined with a control Lyapunov function in a quadratic program to achieve a control objective subject to safety guarantees, and conditions for the control law obtained by solving the program to be Lipschitz continuous and therefore to gives rise to well defined solutions of the resulting closed-loop system.
Proceedings ArticleDOI
Network synthesis for tactical environments: scenario, challenges, and opportunities
Tzanis Anevlavis,Jonathan Bunton,Jared Coleman,Mine Gokce Dogan,Eugenio Grippo,Abel Alves de Souza,Christina Fragouli,Bhaskar Krishnamachari,Matthew Maness,K. Olson,Prashant Shenoy,Paulo Tabuada,Gunjan Verma +12 more
TL;DR: This work develops a network synthesis scenario, which is built around a concrete perimeter surveillance application, yet it is believed captures a number of the challenges and requirements that are common to other tactical communication and computational network applications.
Proceedings ArticleDOI
Persistent Connected Power Constrained Surveillance with Unmanned Aerial Vehicles
TL;DR: This work introduces a new persistent surveillance motion planning problem for multiple drones that incorporates connectivity and power consumption constraints and uses a recently developed constrained optimization tool (Satisfiability Modulo Convex Optimization (SMC)) that has the expressivity needed for this problem.