Avimanyu Sahoo
Orcid: 0000-0001-6113-3278
According to our database1,
Avimanyu Sahoo
authored at least 41 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Proceedings of the 33rd Wireless and Optical Communications Conference, 2024
Multilabel Defect Classification of Large Concrete Structures Using Vision Graph Neural Network with Edge Convolution.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
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
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
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
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
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
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
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