500 citations · 725 across the 53 of their papers we have counts for
63 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…
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…
Self-Tuning Network Control Architectures
Tyler Summers, Karthik Ganapathy, Iman Shames +1
We formulate a general mathematical framework for self-tuning network control architecture design. This problem involves jointly adapting the locations of active sensors and actuat…
Data-driven distributionally robust MPC for systems with uncertain dynamics
Francesco Micheli, Tyler Summers, John Lygeros
We present a novel data-driven distributionally robust Model Predictive Control formulation for unknown discrete-time linear time-invariant systems affected by unknown and possibly…
Sparse Structure Design for Stochastic Linear Systems via a Linear Matrix Inequality Approach
Yi Guo, Ognjen Stanojev, Gabriela Hug +1
In this paper, we propose a sparsity-promoting feedback control design for stochastic linear systems with multiplicative noise. The objective is to identify a sparse control archit…
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise
Benjamin Gravell, Iman Shames, Tyler Summers
We propose a robust data-driven output feedback control algorithm that explicitly incorporates inherent finite-sample model estimate uncertainties into the control design. The algo…