438 citations · 875 across the 77 of their papers we have counts for
88 papers
Self-Tuning Network Control Architectures with Joint Sensor and Actuator Selection
Karthik Ganapathy, Iman Shames, Mathias Hudoba de Badyn +1
We formulate a mathematical framework for designing a self-tuning network control architecture, and propose a computationally-feasible greedy algorithm for online architecture opti…
Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning
Yuen-Man Pun, Farhad Farokhi, Iman Shames
In this work, we consider a sequence of stochastic optimization problems following a time-varying distribution via the lens of online optimization. Assuming that the loss function…
Online Interior-point Methods for Time-varying Equality-constrained Optimization
Jean-Luc Lupien, Iman Shames, Antoine Lesage-Landry
An important challenge in the online convex optimization (OCO) setting is to incorporate generalized inequalities and time-varying constraints. The inclusion of constraints in OCO…
Distributed Block Coordinate Moving Horizon Estimation for 2D Visual-Inertial-Odometry SLAM
Emilien Flayac, Iman Shames
This paper presents a Visual Inertial Odometry Landmark-based Simultaneous Localisation and Mapping algorithm based on a distributed block coordinate nonlinear Moving Horizon Estim…
Nonlinear Dual control based on Fast Moving Horizon estimation and Model Predictive Control with an observability constraint
Emilien Flayac, Girish Nair, Iman Shames
This paper proposes an algorithm that combines Fast Moving Horizon Parameter Estimation and Model Predictive Control subject to an observability constraint designed to ensure a low…
Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking: Extended Version
Yitian Chen, Timothy L. Molloy, Tyler Summers +1
In this paper, we propose and analyze a new method for online linear quadratic regulator (LQR) control with a priori unknown time-varying cost matrices. The cost matrices are revea…