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AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators

2024-03-05 · Mahdi Taheri, Natalia Cherezova, Samira Nazari, Ahsan Rafiq, Ali Azarpeyvand, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin

In this paper, we propose an architecture of a novel adaptive fault-tolerant approximate multiplier tailored for ASIC-based DNN accelerators.

📄 PDF Abstract BibTeX arXiv:2403.02936

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Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control

2020-08-10 · Ibrahim Ahmed, Hamed Khorasgani, Gautam Biswas

A desirable property in fault-tolerant controllers is adaptability to system changes as they evolve during systems operations. An adaptive controller does not require optimal control policies to be enumerated for possibl…

Hierarchical Reinforcement Learning reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Fault tolerant controller design for a class of affine nonlinear systems based on adaptive virtual actuator

2020-03-30

An Adaptive Fault-tolerant Controller procedure for a class of the affine nonlinear system is developed in this paper. This methodology hides both the faults and external disturbances. Compare to the procedure that requi…

Fault Detection

Fault-Tolerant Control of Quadcopter UAVs Using Robust Adaptive Sliding Mode Approach

2018-12-28 · Energies 2018 12 · Ngoc Phi Nguyen and Sung Kyung Hong *

In this paper, a fault-tolerant control method is proposed for quadcopter unmanned aerial vehicles (UAV) to account for system uncertainties and actuator faults. A mathematical model of the quadcopter UAV is first intr…

Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning

2020-08-10 · Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas

We propose a novel adaptive reinforcement learning control approach for fault tolerant control of degrading systems that is not preceded by a fault detection and diagnosis step. Therefore, \textit{a priori} knowledge of …

Fault Detection reinforcement-learning Reinforcement Learning (RL)

Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control

2021-11-19 · Wataru Okamoto, Hiroshi Kera, Kazuhiko Kawamoto

This study is aimed at addressing the problem of fault tolerance of quadruped robots to actuator failure, which is critical for robots operating in remote or extreme environments. In particular, an adaptive curriculum re…

reinforcement-learning Reinforcement Learning (RL)