João Hespanha
· Distinguished ProfessorUniversity of California, Santa Barbara · Electrical and Computer Engineering
Active 1996–2026
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About
João Hespanha is a Distinguished Professor in the Department of Electrical and Computer Engineering at UC Santa Barbara. His research interests include hybrid and switched systems, the modeling and control of communication networks, distributed control over communication networks (also known as networked control systems), the use of vision in feedback control, game theory, and stochastic modeling in biology. He is associated with the Networked Control Laboratory and is engaged in advancing the understanding and development of control systems, communication networks, and their applications in various fields.
Research topics
- Computer Science
- Artificial Intelligence
- Engineering
- Control engineering
- Electrical engineering
- Sociology
- Political Science
- Medicine
- Pharmacology
- Public relations
Selected publications
Control education for societal-scale challenges: A community roadmap
Annual Reviews in Control · 2023 · 48 citations
This article focuses on extending, disseminating and interpreting the findings of an IEEE Control Systems Society working group looking at the role of control theory and engineering in solving some of the many current and future societal challenges. The findings are interpreted in a manner designed to give focus and direction to both future education and research work in the general control theory and engineering arena, interpreted in the broadest sense. The paper is intended to promote discussi…
Science Advances · 2023 · 43 citations
Knowledge of drug concentrations in the brains of behaving subjects remains constrained on a number of dimensions, including poor temporal resolution and lack of real-time data. Here, however, we demonstrate the ability of electrochemical aptamer-based sensors to support seconds-resolved, real-time measurements of drug concentrations in the brains of freely moving rats. Specifically, using such sensors, we achieve <4 μM limits of detection and 10-s resolution in the measurement of procaine in th…
Forecasting COVID-19 cases based on a parameter-varying stochastic SIR model
Annual Reviews in Control · 2021 · 31 citations
1st authorCorrespondingBritish Journal of Pharmacology · 2024-06-15 · 17 citations
articleOpen accessBACKGROUND AND PURPOSE: The ability to measure specific molecules at multiple sites within the body simultaneously, and with a time resolution of seconds, could greatly advance our understanding of drug transport and elimination. EXPERIMENTAL APPROACH: As a proof-of-principle demonstration, here we describe the use of electrochemical aptamer-based (EAB) sensors to measure transport of the antibiotic vancomycin from the plasma (measured in the jugular vein) to the cerebrospinal fluid (measured in…
A Robust Control Strategy With Perturbation Estimation for the Parrot Mambo Platform
IEEE Transactions on Control Systems Technology · 2020 · 16 citations
This article addresses theoretical and practical challenges associated with a commercially available and ready-to-fly small-scale unmanned aircraft system (UAS) developed by Parrot SA: the Mambo quad rotorcraft. The dynamic model and the structure of the controller running onboard the UAS autopilot are not disclosed by its manufacturers. For this reason, a novel robust controller for discrete-time systems under time delays and input saturation is first developed for this platform. Then, three fu…
Recent grants
COVID 19: RAPID: Informed Decision Making for Pandemic Management
NSF · $146k · 2020–2022
NSF · $51k · 2005–2007
EPCN - Online Optimization for the Control of Small Autonomous Vehicles
NSF · $360k · 2016–2021
Frequent coauthors
- 527 shared
Thomas Parisini
- 486 shared
B. Pasik-Duncan
- 478 shared
Francesco Bullo
Dynamic Systems (United States)
- 477 shared
Robert R. Bitmead
University of California, San Diego
- 476 shared
Jorge Cortés
University of California, San Diego
- 472 shared
Andrew G. Alleyne
University of Minnesota
- 467 shared
Luca Zaccarian
- 466 shared
M.L. Corradini
Università di Camerino
Education
- 1998
PhD, Engineering and Applied Sciences
Yale University
- 1991
Licenciatura, Electrical Engineering
Instituto Superior Técnico
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