S. Jagannathan or J. Sarangapani (0000-0002-2310-3737)

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Dr. Jagannathan Sarangapani (referred here as S. Jagannathan) is at the Missouri University of Science and Technology (former University of Missouri-Rolla) where he is a Rutledge-Emerson Endowed Chair Professor of Electrical and Computer Engineering and Site Director for the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems. He has coauthored over 196 peer reviewed journal articles mostly in IEEE Transactions, over 212 refereed IEEE conference articles, several book chapters, three books and holds 21 patents. His research interests include learning, adaptation and control, secure cyber-physical-human systems, prognostics, and autonomous systems/robotics. He won many awards and is a Fellow of many societies.

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Missouri University of Science and Technology: Rolla, MO, US

2001-09-01 to present | Rutldge-Emerson Endowed Chair (Electrical and Computer Engineering)

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S. Jagannathan or J. Sarangapani

https://orcid.org/0000-0002-2310-3737

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Biography

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Employment (1)

Missouri University of Science and Technology: Rolla, MO, US

Education and qualifications (1)

University of Texas at Arlington: Arlington, TX, US

Works (27)

SIFT Feature-Based Relative Altitude Estimation Enhanced With Siamese Network

Adaptive Critic Optimal Control of an Uncertain Robot Manipulator With Applications

Lifelong Learning-Based Optimal Trajectory Tracking Control of Constrained Nonlinear Affine Systems Using Deep Neural Networks

Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Lifelong Hybrid Learning

Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback

Optimal trajectory tracking for uncertain linear discrete‐time systems using time‐varying Q‐learning

Predicting IoT Distributed Ledger Fraud Transactions With a Lightweight GAN Network

A Reputation System for Provably-Robust Decision Making in IoT Blockchain Networks

Continual Reinforcement Learning Formulation for Zero-Sum Game-Based Constrained Optimal Tracking

Concurrent Learning-Based Neuroadaptive Robust Tracking Control of Wheeled Mobile Robot: An Event-Triggered Design

QC_SANE: Robust Control in DRL Using Quantile Critic With Spiking Actor and Normalized Ensemble

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

Optimal Adaptive Control of Uncertain Nonlinear Continuous-Time Systems With Input and State Delays

An Intelligent Distributed Ledger Construction Algorithm for IoT

Online Optimal Adaptive Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks

Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty

Dual-Loop Optimal Control of a Robot Manipulator and Its Application in Warehouse Automation

Distributed Min–Max Learning Scheme for Neural Networks With Applications to High-Dimensional Classification

Online deep neural network-based feedback control of a Lutein bioprocess

Dynamic Trajectory Generation and a Robust Controller to Intercept a Moving Ball in a Game Setting

Active-Passive Dynamic Consensus Filters With Reduced Information Exchange and Time-Varying Agent Roles

Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data

Attack Detection and Approximation in Nonlinear Networked Control Systems Using Neural Networks

A Multi-Step Nonlinear Dimension-Reduction Approach with Applications to Big Data

Distributed Control of High-Order Nonlinear Input Constrained Multiagent Systems Using a Backstepping-Free Method

Output-Constrained Control of Nonaffine Multiagent Systems With Partially Unknown Control Directions

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