32 citations · 37 across the 2 of their papers we have counts for
6 papers
Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems
Arnav V. Malawade, Nathan D. Costa, Deepan Muthirayan +2
If machine failures can be detected preemptively, then maintenance and repairs can be performed more efficiently, reducing production costs. Many machine learning techniques for pe…
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…
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…
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…
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers
Deepan Muthirayan, Scott Nivison, Pramod P. Khargonekar
We introduced a {\it working memory} augmented adaptive controller in our recent work. The controller uses attention to read from and write to the working memory. Attention allows…
Memory Augmented Neural Network Adaptive Controller for Strict Feedback Nonlinear Systems
Deepan Muthirayan, Pramod P. Khargonekar
In this work, we consider the adaptive nonlinear control problem for strict feedback nonlinear systems, where the functions that determine the dynamics of the system are completely…