受强制性开放获取政策约束的文章 - Vignesh Narayanan了解详情
可在其他位置公开访问的文章：35 篇
Event-triggered distributed control of nonlinear interconnected systems using online reinforcement learning with exploration
V Narayanan, S Jagannathan
IEEE Transactions on Cybernetics 48 (9), 2510-2519, 2017
强制性开放获取政策： US National Science Foundation
Event-sampled output feedback control of robot manipulators using neural networks
V Narayanan, S Jagannathan, K Ramkumar
IEEE Transactions on Neural Networks and Learning Systems 30 (6), 1651-1658, 2018
强制性开放获取政策： US National Science Foundation
Approximate optimal distributed control of nonlinear interconnected systems using event-triggered nonzero-sum games
V Narayanan, A Sahoo, S Jagannathan, K George
IEEE transactions on neural networks and learning systems 30 (5), 1512-1522, 2018
强制性开放获取政策： US National Science Foundation
Event-sampled direct adaptive NN output-and state-feedback control of uncertain strict-feedback system
N Szanto, V Narayanan, S Jagannathan
IEEE Transactions on Neural Networks and Learning Systems 29 (5), 1850-1863, 2017
强制性开放获取政策： US National Science Foundation
Event-triggered distributed approximate optimal state and output control of affine nonlinear interconnected systems
V Narayanan, S Jagannathan
IEEE Transactions on Neural Networks and Learning Systems 29 (7), 2846-2856, 2017
强制性开放获取政策： US National Science Foundation
Event-driven off-policy reinforcement learning for control of interconnected systems
V Narayanan, H Modares, S Jagannathan, FL Lewis
IEEE Transactions on Cybernetics 52 (3), 1936-1946, 2022
强制性开放获取政策： US National Science Foundation
Distributed adaptive optimal regulation of uncertain large‐scale interconnected systems using hybrid q‐learning approach
V Narayanan, S Jagannathan
IET Control Theory & Applications 10 (12), 1448-1457, 2016
强制性开放获取政策： US National Science Foundation
A min–max approach to event-and self-triggered sampling and regulation of linear systems
A Sahoo, V Narayanan, S Jagannathan
IEEE Transactions on Industrial Electronics 66 (7), 5433-5440, 2018
强制性开放获取政策： US National Science Foundation
Model learning and knowledge sharing for cooperative multiagent systems in stochastic environment
WC Jiang, V Narayanan, JS Li
IEEE Transactions on Cybernetics, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
R Venkataramanan, K Roy, K Raj, R Prasad, Y Zi, V Narayanan, A Sheth
IEEE Conference on Systems, Man, and Cybernetics, 2023
强制性开放获取政策： US National Science Foundation
Approximate optimal distributed control of uncertain nonlinear interconnected systems with event-sampled feedback
V Narayanan, S Jagannathan
2016 IEEE 55th Conference on Decision and Control (CDC), 5827-5832, 2016
强制性开放获取政策： US National Science Foundation
Distributed event-sampled approximate optimal control of interconnected affine nonlinear continuous-time systems
V Narayanan, S Jagannathan
2016 American Control Conference (ACC), 3044-3049, 2016
强制性开放获取政策： US National Science Foundation
Learning to control neurons using aggregated measurements
YC Yu, V Narayanan, SN Ching, JS Li
2020 American Control Conference (ACC), 4028-4033, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
A learning framework for controlling spiking neural networks
V Narayanan, JT Ritt, JS Li, SN Ching
2019 American Control Conference (ACC), 211-216, 2019
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Knowledge graph guided semantic evaluation of language models for user trust
K Roy, T Garg, V Palit, Y Zi, V Narayanan, A Sheth
IEEE Conference on Artificial Intelligence, 2023
强制性开放获取政策： US National Science Foundation
Event‐triggered control of input‐affine nonlinear interconnected systems using multiplayer game
V Narayanan, H Modares, S Jagannathan
International Journal of Robust and Nonlinear Control 31 (3), 950-970, 2021
强制性开放获取政策： US National Science Foundation
Optimal sampling and regulation of uncertain interconnected linear continuous time systems
A Sahoo, V Narayanan, S Jagannathan
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2017
强制性开放获取政策： US National Science Foundation
Event-sampled control of quadrotor unmanned aerial vehicle using neural networks
N Szanto, V Narayanan, S Jagannathan
2017 American Control Conference (ACC), 2956-2961, 2017
强制性开放获取政策： US National Science Foundation
Moment-based reinforcement learning for ensemble control
YC Yu, V Narayanan, JS Li
IEEE Transactions on Neural Networks and Learning Systems, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Interpretable design of reservoir computing networks using realization theory
W Miao, V Narayanan, JS Li
IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6379-6389, 2022
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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