204 citations · 414 across the 37 of their papers we have counts for
6 papers · 1 filter
Cognitive Preadaptation for Resilient Adaptive Control
Deepan Muthirayan, Pramod P. Khargonekar
In this paper, we investigate a novel control architecture and algorithm for incorporating preadaption functions. We propose a preadaptation mechanism that can augment any adaptive…
Meta-Learning Guarantees for Online Receding Horizon Learning Control
Deepan Muthirayan, Pramod P. Khargonekar
In this paper we provide provable regret guarantees for an online meta-learning receding horizon control algorithm in an iterative control setting. We consider the setting where, i…
Balancing Exploration for Online Receding Horizon Learning Control with Provable Regret Guarantees
Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar
We address the problem of simultaneously learning and control in an online receding horizon control setting. We consider the control of an unknown linear dynamical system with gene…
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
Shih-Yuan Yu, Arnav V. Malawade, Deepan Muthirayan +2
Despite impressive advancements in Autonomous Driving Systems (ADS), navigation in complex road conditions remains a challenging problem. There is considerable evidence that evalua…
A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees
Deepan Muthirayan, Pramod Khargonekar
In this work we provide provable regret guarantees for an online meta-learning control algorithm in an iterative control setting, where in each iteration the system to be controlle…
Online Algorithms for Dynamic Matching Markets in Power Distribution Systems
Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar
This paper proposes online algorithms for dynamic matching markets in power distribution systems, which at any real-time operation instance decides about matching -- or delaying th…