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20062026
most citedTube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics

42 citations · 338 across the 135 of their papers we have counts for

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12 papers · 1 filter

math.OC2025

Networked Control and Mean Field Problems Under Diagonal Dominance: Decentralized and Social Optimality

Vivek Khatana, Duo Wang, Petros Voulgaris +2

In this article, we employ an input-output approach to expand the study of cooperative multi-agent control and optimization problems characterized by mean-field interactions that a…

math.OC2024

Adaptive Optimizer for Online Time-Varying Convex Optimization

Jinrae Kim, Naira Hovakimyan

We propose an adaptive method for online time-varying (TV) convex optimization, termed adaptive optimization (-AO). TV optimizers utilize a predi…

math.OC2021★ 6 cited

Adaptive Control for Switching Reference Systems: Application to Flight Control

Steven Snyder, Pan Zhao, Naira Hovakimyan

This paper presents a framework for the design and analysis of an adaptive controller with a switching reference system. The use of a switching reference system all…

math.OC2020★ 1 cited

Adaptive Robust Quadratic Programs using Control Lyapunov and Barrier Functions

Pan Zhao, Yanbing Mao, Chuyuan Tao +2

This paper presents adaptive robust quadratic program (QP) based control using control Lyapunov and barrier functions for nonlinear systems subject to time-varying and state-depend…

math.OC2020

Inequality Constraints in Facility Location and Other Similar Optimization Problems: An Entropy Based Approach

Amber Srivastava, Gabriel Barsi Haberfeld, Naira Hovakimyan +1

In this paper we propose an annealing based framework to incorporate inequality constraints in optimization problems such as facility location, simultaneous facility location with…

math.OC2019★ 4 cited

Attack-resilient Estimation for Linear Discrete-time Stochastic Systems with Input and State Constraints

Wenbin Wan, Hunmin Kim, Naira Hovakimyan +1

In this paper, an attack-resilient estimation algorithm is presented for linear discrete-time stochastic systems with state and input constraints. It is shown that the state estima…