Sonia Martinez

Professor

University of California, San Diego

United States

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About

Professor Sonia Martinez is a faculty member at UC San Diego, located in the United States. Her research focuses on distributed systems, including topics such as resilient observer synthesis, task allocation for self-interested agents, and data-driven methods for system stabilization. Additionally, her work encompasses areas like online optimization and estimation in sensor networks, contributing significantly to the fields of control theory and machine learning.

Articles (22)

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Collaborators (3)

Nikolay Atanasov

Assistant Professor

University of California, San Diego

UNITED STATES

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Jaap Eising

ETH Zürich

SWITZERLAND

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Mohammad Khajenejad

Assistant Professor

University of Tulsa

UNITED STATES

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Sonia Martinez

Research Interests

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About

Articles (22)

Distributed Resilient Interval Observer Synthesis for Nonlinear Discrete-Time Systems

Distributed Task Allocation for Self-Interested Agents With Partially Unknown Rewards

Robust Output-Feedback MPC for Nonlinear Systems With Applications to Robotic Exploration

Data-Driven Mode Detection and Stabilization of Unknown Switched Linear Systems

Data-Driven Distributed Spectrum Estimation for Linear Time-Invariant Systems

Opinion Dynamics for Utility Maximizing Agents: Exploring the Impact of the Resource Penalty

Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities

Distributed Variational Inference for Online Supervised Learning

Online Optimization and Ambiguity-Based Learning of Distributionally Uncertain Dynamic Systems

Robotic Exploration Using Generalized Behavioral Entropy

Fine-Tuned Convex Approximations of Probabilistic Reachable Sets Under Data-Driven Uncertainties

Parallel Quantum Rapidly-Exploring Random Trees

Robot Navigation in Risky, Crowded Environments: Understanding Human Preferences

Guaranteed Privacy of Distributed Nonconvex Optimization via Mixed-Monotone Functional Perturbations

High-Confidence Data-Driven Ambiguity Sets for Time-Varying Linear Systems

Quantum Search Approaches to Sampling-Based Motion Planning

Stabilization of linear cyber-physical systems against attacks via switching defense

Iterative Algorithms for Assessing Network Resilience Against Structured Perturbations

Distributionally Safe Path Planning: Wasserstein Safe RRT

A Numerical Verification Framework for Differential Privacy in Estimation

Average Dwell-Time Minimization of Switched Systems via Sequential Convex Programming

Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks

Collaborators (3)

Nikolay Atanasov

Jaap Eising

Mohammad Khajenejad

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