Avimanyu Sahoo

Orcid: 0000-0001-6113-3278

According to our database1, Avimanyu Sahoo authored at least 37 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Meta-Tasks: An alternative view on Meta-Learning Regularization.
CoRR, 2024

2023
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning.
CoRR, 2023

Core Temperature Estimation of Lithium-ion Batteries Under Internal Thermal Faults Using Neural Networks.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
A Novel Coupled Electro-thermal-aging Model for Simultaneous SOC, SOH, and Parameter Estimation of Lithium-ion Batteries.
Proceedings of the American Control Conference, 2022

2021
On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm.
Inf. Sci., 2021

Adaptive Gain Observers for Distributed State Estimation of Linear Systems.
Proceedings of the 2021 American Control Conference, 2021

2020
Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players.
Neural Networks, 2020

Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Novel Evolutionary Algorithm with Pareto Front Adaption for Many-objective Optimization.
Proceedings of the 2020 American Control Conference, 2020

2019
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Min-Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems.
IEEE Trans. Ind. Electron., 2019

Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach.
Neural Networks, 2019

An optimal hybrid learning approach for attack detection in linear networked control systems.
IEEE CAA J. Autom. Sinica, 2019

Attack Detection in Linear Networked Control Systems by Using Learning Methodology.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

Simultaneous State and Parameter Estimation of Lithium-ion Battery: An Observer Based Approach.
Proceedings of the 2019 American Control Conference, 2019

2018
Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Adaptive Optimal Distributed Control of Linear Interconnected Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Event-based Near Optimal Sampling and Tracking Control of Nonlinear Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2017

Stochastic Optimal Regulation of Nonlinear Networked Control Systems by Using Event-Driven Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2017

Optimal event-triggered control of uncertain linear networked control systems: A co-design approach.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Optimal sampling and regulation of uncertain interconnected linear continuous time systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2016

Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2016

Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2016

2015
Event-based neural network approximation and control of uncertain nonlinear continuous-time systems.
Proceedings of the American Control Conference, 2015

2014
Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Event-triggered optimal regulation of uncertain linear discrete-time systems by using Q-learning scheme.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems.
Proceedings of the American Control Conference, 2014

Event-based optimal regulator design for nonlinear networked control systems.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Neural network-based adaptive event-triggered control of affine nonlinear discrete time systems with unknown internal dynamics.
Proceedings of the American Control Conference, 2013

Adaptive event-triggered control of a uncertain linear discrete time system using measured input and output data.
Proceedings of the American Control Conference, 2013

Neural network-based adaptive event-triggered control of nonlinear continuous-time systems.
Proceedings of the 2013 IEEE International Symposium on Intelligent Control, 2013


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