Vignesh Narayanan

Wei Zhang

IEEE Trans. Autom. Control., October, 2024

Moment-Based Reinforcement Learning for Ensemble Control.

[BibT_eX]

[DOI]

Yao-Chi Yu

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback.

[BibT_eX]

[DOI]

Krishnan Raghavan

IEEE Trans. Neural Networks Learn. Syst., July, 2024

RI2AP: Robust and Interpretable 2D Anomaly Prediction in Assembly Pipelines.

[BibT_eX]

[DOI]

Sensors, May, 2024

Predicting Chaotic Systems with Quantum Echo-state Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Effective Planning Strategies for Dynamic Opinion Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Optimal Tracking of Uncertain Linear Discrete-Time Systems Using Trajectory-Dependent Lifelong Q-learning.

[BibT_eX]

[DOI]

Maxwell Geiger

Proceedings of the American Control Conference, 2024

Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge.

[BibT_eX]

[DOI]

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

Causal Event Graph-Guided Language-based Spatiotemporal Question Answering.

[BibT_eX]

[DOI]

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Interpretable Design of Reservoir Computing Networks Using Realization Theory.

[BibT_eX]

[DOI]

Wei Miao

IEEE Trans. Neural Networks Learn. Syst., September, 2023

On safe and usable chatbots for promoting voter participation.

[BibT_eX]

[DOI]

AI Mag., September, 2023

Event-Triggered Optimal Adaptive Control of Partially Unknown Linear Continuous-Time Systems With State Delay.

[BibT_eX]

[DOI]

Rohollah Moghadam

IEEE Trans. Syst. Man Cybern. Syst., June, 2023

Evaluating Chatbots to Promote Users' Trust - Practices and Open Problems.

[BibT_eX]

[DOI]

CoRR, 2023

A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency.

[BibT_eX]

[DOI]

CoRR, 2023

IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge-Infused Self Attention Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Process Knowledge-infused Learning for Clinician-friendly Explanations.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust.

[BibT_eX]

[DOI]

CoRR, 2023

Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes.

[BibT_eX]

[DOI]

Revathy Venkataramanan

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Core Temperature Estimation of Lithium-ion Batteries Under Internal Thermal Faults Using Neural Networks.

[BibT_eX]

[DOI]

Geetika Vennam

Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022

Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems.

[BibT_eX]

[DOI]

Hamidreza Modares

Frank L. Lewis

IEEE Trans. Cybern., 2022

KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts.

[BibT_eX]

[DOI]

Ponnurangam Kumaraguru

Amit P. Sheth

CoRR, 2022

2021

Model Learning and Knowledge Sharing for Cooperative Multiagent Systems in Stochastic Environment.

[BibT_eX]

[DOI]

Wei-Cheng Jiang

IEEE Trans. Cybern., 2021

A Nested Two-Stage Clustering Method for Structured Temporal Sequence Data.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Learning to Control using Image Feedback.

[BibT_eX]

[DOI]

Krishnan Raghavan

Jagannathan Saraangapani

CoRR, 2021

Securing social media for seniors from information attacks: Modeling, detecting, intervening, and communicating risks.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Trust, 2021

Adaptive Gain Observers for Distributed State Estimation of Linear Systems.

[BibT_eX]

[DOI]

Qiming Zhao

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.

[BibT_eX]

[DOI]

Neural Networks, 2020

Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback.

[BibT_eX]

[DOI]

Qiming Zhao

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Learning to Control Neurons using Aggregated Measurements.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

2019

Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games.

[BibT_eX]

[DOI]

Koshy George

IEEE Trans. Neural Networks Learn. Syst., 2019

Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks.

[BibT_eX]

[DOI]

Kannan Ramkumar

IEEE Trans. Neural Networks Learn. Syst., 2019

A Min-Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2019

Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach.

[BibT_eX]

[DOI]

Neural Networks, 2019

Biophysically interpretable inference of single neuron dynamics.

[BibT_eX]

[DOI]

ShiNung Ching

J. Comput. Neurosci., 2019

Robust Population Transfer for Coupled Spin Ensembles.

[BibT_eX]

[DOI]

Wei Zhang

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Learning Framework for Controlling Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

Event-Sampled Direct Adaptive NN Output- and State-Feedback Control of Uncertain Strict-Feedback System.

[BibT_eX]

[DOI]

Nathan Szanto

IEEE Trans. Neural Networks Learn. Syst., 2018

Event-Triggered Distributed Approximate Optimal State and Output Control of Affine Nonlinear Interconnected Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Adaptive Optimal Distributed Control of Linear Interconnected Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Event-based Near Optimal Sampling and Tracking Control of Nonlinear Systems.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Optimal event-triggered control of uncertain linear networked control systems: A co-design approach.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Optimal sampling and regulation of uncertain interconnected linear continuous time systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Online reinforcement with exploration for distributed control.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Event-sampled control of quadrotor unmanned aerial vehicle using neural networks.

[BibT_eX]

[DOI]

Nathan Szanto

Proceedings of the 2017 American Control Conference, 2017

Distributed consensus-based event-triggered approximate control of nonholonomic mobile robot formations.

[BibT_eX]

[DOI]

Haci Mehmet Guzey

Travis Dierks

Levent Acar

Proceedings of the 2017 American Control Conference, 2017

2016

Event-sampled adaptive neural network control of robot manipulators.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Event-sampled direct adaptive NN state-feedback control of uncertain strict-feedback system.

[BibT_eX]

[DOI]

Nathan Szanto

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Approximate optimal distributed control of uncertain nonlinear interconnected systems with event-sampled feedback.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed event-sampled approximate optimal control of interconnected affine nonlinear continuous-time systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Distributed Adaptive Optimal Regulation of Uncertain Large-Scale Linear Networked Control Systems Using Q-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

A human factors analysis of proactive support in human-robot teaming.

[BibT_eX]

[DOI]

Yu Zhang