Neural network-based adaptive event-triggered control of nonlinear continuous-time systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ISIC, 2013)

Adaptive event-triggered control of a uncertain linear discrete time system using measured input and output data. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ACC, 2013)

Neural network-based adaptive event-triggered control of affine nonlinear discrete time systems with unknown internal dynamics. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ACC, 2013)

Event-based optimal regulator design for nonlinear networked control systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ADPRL, 2014)

Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ACC, 2014)

Event-triggered optimal regulation of uncertain linear discrete-time systems by using Q-learning scheme. - Avimanyu Sahoo; Sarangapani Jagannathan (CDC, 2014)

Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan; Travis Dierks (CDC, 2014)

Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IJCNN, 2014)

Event-based neural network approximation and control of uncertain nonlinear continuous-time systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ACC, 2015)

Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2016)

Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2016)

Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2016)

Optimal sampling and regulation of uncertain interconnected linear continuous time systems. - Avimanyu Sahoo; Vignesh Narayanan; Sarangapani Jagannathan (SSCI, 2017)

Optimal event-triggered control of uncertain linear networked control systems: A co-design approach. - Avimanyu Sahoo; Vignesh Narayanan; Sarangapani Jagannathan (SSCI, 2017)

Stochastic Optimal Regulation of Nonlinear Networked Control Systems by Using Event-Driven Adaptive Dynamic Programming. - Avimanyu Sahoo; Sarangapani Jagannathan (IEEE Trans. Cybern., 2017)

Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2017)

Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach. - Vignesh Narayanan; Avimanyu Sahoo; Sarangapani Jagannathan (ACC, 2018)

Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games. - Vignesh Narayanan; Avimanyu Sahoo; Sarangapani Jagannathan (CDC, 2018)

Event-based Near Optimal Sampling and Tracking Control of Nonlinear Systems. - Avimanyu Sahoo; Vignesh Narayanan (CDC, 2018)

Adaptive Optimal Distributed Control of Linear Interconnected Systems. - Vignesh Narayanan; Avimanyu Sahoo; Sarangapani Jagannathan (SSCI, 2018)

Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games. - Avimanyu Sahoo; Vignesh Narayanan; Sarangapani Jagannathan (SSCI, 2018)

Simultaneous State and Parameter Estimation of Lithium-ion Battery: An Observer Based Approach. - Geetika Vennam; Avimanyu Sahoo (ACC, 2019)

Attack Detection in Linear Networked Control Systems by Using Learning Methodology. - Haifeng Niu; Avimanyu Sahoo; Chandreyee Bhowmick; Sarangapani Jagannathan (CCTA, 2019)

An optimal hybrid learning approach for attack detection in linear networked control systems. - Haifeng Niu; Avimanyu Sahoo; Chandreyee Bhowmick; Sarangapani Jagannathan (IEEE CAA J. Autom. Sinica, 2019)

Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach. - Avimanyu Sahoo; Vignesh Narayanan (Neural Networks, 2019)

A Min-Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems. - Avimanyu Sahoo; Vignesh Narayanan; Sarangapani Jagannathan (IEEE Trans. Ind. Electron., 2019)

Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games. - Vignesh Narayanan; Avimanyu Sahoo; Sarangapani Jagannathan; Koshy George (IEEE Trans. Neural Networks Learn. Syst., 2019)

A Novel Evolutionary Algorithm with Pareto Front Adaption for Many-objective Optimization. - Li Li 037; Avimanyu Sahoo; Liang Chang 003 (ACC, 2020)

A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows. - Li Li 037; Avimanyu Sahoo; Liang Chang 003 (SSCI, 2020)

Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback. - Avimanyu Sahoo; Vignesh Narayanan; Qiming Zhao (SSCI, 2020)

Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players. - Avimanyu Sahoo; Vignesh Narayanan (Neural Networks, 2020)

Adaptive Gain Observers for Distributed State Estimation of Linear Systems. - Avimanyu Sahoo; Vignesh Narayanan; Qiming Zhao (ACC, 2021)

On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm. - Li Li 037; Gary G. Yen; Avimanyu Sahoo; Liang Chang 003; Tianlong Gu (Inf. Sci., 2021)

A Novel Coupled Electro-thermal-aging Model for Simultaneous SOC, SOH, and Parameter Estimation of Lithium-ion Batteries. - Geetika Vennam; Avimanyu Sahoo; Samir Ahmed (ACC, 2022)

Core Temperature Estimation of Lithium-ion Batteries Under Internal Thermal Faults Using Neural Networks. - Geetika Vennam; Avimanyu Sahoo; Vignesh Narayanan (CCTA, 2023)

Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning. - Atik Faysal; Mohammad Rostami; Huaxia Wang; Avimanyu Sahoo; Ryan Antle (CoRR, 2023)

Aperiodic Sensing and Data-Driven System Identification of Nonlinear Systems Using Chebyshev Pseudospectral Approach. - Arian Yousefian; Avimanyu Sahoo; Vignesh Narayanan (CDC, 2024)

Public Healthcare Informatics for COVID-19 from Social Media Data. - Vishwa V. Kumar; Avimanyu Sahoo; Ritika Kumar; Nicholas Loyd (EMBC, 2024)

Multilabel Defect Classification of Large Concrete Structures Using Vision Graph Neural Network with Edge Convolution. - Md Sazzad Hossen; Avimanyu Sahoo; Huaxia Wang (IJCNN, 2024)

BEpiC: Binary Episodes for Meta-Learning Towards Better Generalization. - Atik Faysal; Mohammad Rostami; Huaxia Wang; Avimanyu Sahoo; Ryan Antle (WOCC, 2024)

Meta-Tasks: An alternative view on Meta-Learning Regularization. - Mohammad Rostami; Atik Faysal; Huaxia Wang; Avimanyu Sahoo; Ryan Antle (CoRR, 2024)

A Novel Online System Identification Using Chebyshev Polynomial Basis of the Second Kind. - Arian Yousefian; Avimanyu Sahoo; Vignesh Narayanan (ACC, 2025)

Federated Split Learning for Human Activity Recognition with Differential Privacy. - Josue Ndeko; Shaba Shaon; Aubrey Beal; Avimanyu Sahoo; Dinh C. Nguyen (CCNC, 2025)

Mitigating healthcare supply chain challenges under disaster conditions: a holistic AI-based analysis of social media data. - Vishwa V. Kumar; Avimanyu Sahoo; Siva K. Balasubramanian; Sampson Gholston (Int. J. Prod. Res., 2025)

A Novel Online Pseudospectral Method for Approximation of Nonlinear Systems Dynamics. - Arian Yousefian; Avimanyu Sahoo; Vignesh Narayanan (CoRR, 2025)

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals. - Atik Faysal; Taha Boushine; Mohammad Rostami; Reihaneh Gh. Roshan; Huaxia Wang; Nikhil Muralidhar; Avimanyu Sahoo; Yu-Dong Yao (IEEE Commun. Lett., 2025)