Publications
Forthcoming
- Temporal Variabilities Limit Convergence Rates in Gradient-Based Online Optimization
- Feedback Optimization of Dynamical Systems in Time-Varying Environments: An Internal Model Principle Approach
- The Internal Model Principle of Time-Varying Optimization
- The Speed-Robustness Trade-Off for First-Order Methods with Additive Gradient Noise
2025
- The Fastest Known First-Order Method for Minimizing Twice Continuously Differentiable Smooth Strongly Convex Functions2025
- The Discrete-Time Internal Model Principle of Time-Varying Optimization2025
- On First-Principle Robot Building in Undergraduate Robotics Education in the Robotic System Levels Model2025
- Optimization Algorithms as Uncertain Graded Dynamical Systems2025
- Robust UAV-Oriented Wireless Communications via Multi-Agent Deep Reinforcement Learning to Optimize User Coverage2025
- Optimal Positioning of Unmanned Aerial Vehicle Base Stations using Mixed-Integer Linear Programming2025
- LLM Prompting Methodology and Taxonomy to Benchmark our Engineering Curriculums2025
- Results and Evaluation of an Early LLM Benchmarking of our ECE Undergraduate Curriculums2025
2024
- Extending Boids for Safety-Critical Search and Rescue2024
2023
- A Tutorial on a Lyapunov-Based Approach to the Analysis of Iterative Optimization Algorithms2023
- A Tutorial on the Structure of Distributed Optimization Algorithms2023
- Automated Lyapunov Analysis of Primal-Dual Optimization Algorithms: An Interpolation Approach2023
- Low-Cost Distance Sensor Characterization of Ultrasonic and Infrared to Evaluate the "Reality Gap" in Robot System Simulation2023
2022
- A Universal Decomposition for Distributed Optimization Algorithms2022
- Absolute Stability via Lifting and Interpolation2022
2020
- Analysis and Design of First-Order Distributed Optimization Algorithms Over Time-Varying Graphs2020
- Systematic Analysis of Distributed Optimization Algorithms Over Jointly-Connected Networks2020
2019
- A Canonical Form for First-Order Distributed Optimization Algorithms2019
- A Distributed Optimization Algorithm Over Time-Varying Graphs with Efficient Gradient Evaluations2019
- Integral Quadratic Constraints: Exact Convergence Rates and Worst-Case Trajectories2019
- Tutorial on Dynamic Average Consensus: The Problem, Its Applications, and the Algorithms2019
2018
- A Robust Accelerated Optimization Algorithm for Strongly Convex Functions2018
- Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees2018
- The Fastest Known Globally Convergent First-Order Method for Minimizing Strongly Convex Functions2018
2017
- Analysis and Design of Algorithms for Dynamic Average Consensus and Convex Optimization2017
2016
- Feedforward Estimators for the Distributed Average Tracking of Bandlimited Signals in Discrete Time with Switching Graph Topology2016
2015
- A Fast Robust Nonlinear Dynamic Average Consensus Estimator in Discrete Time2015
- Design of Robust Dynamic Average Consensus Estimators2015
- Exploiting Memory in Average Consensus2015
- Optimal Worst-Case Dynamic Average Consensus2015
2014
- Asymptotic Mean Ergodicity of Average Consensus Estimators2014
2012
- A Mathematical Model for Hydrogen Production from a Proton Exchange Membrane Photoelectrochemical Cell2012