S. Sivaranjani

Orcid: 0000-0001-7585-7816

According to our database1, S. Sivaranjani authored at least 39 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Set-Based Value Function Characterization and Neural Approximation of Stabilization Domains for Input-Constrained Discrete-Time Systems.
CoRR, April, 2026

Lipschitz verification of neural networks through training.
CoRR, March, 2026

ECLipsE-Gen-Local: Efficient Compositional Local Lipschitz Estimates for Deep Neural Networks.
Trans. Mach. Learn. Res., 2026

2025
Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches.
CoRR, December, 2025

An Enhanced Federated Siamese Network for Leveraging the Biometric Framework Mitigating Zero-Day Attacks IoT-Enabled Holographic Consumer Gadgets.
IEEE Trans. Consumer Electron., November, 2025

Learning Neural Network Safe Tracking Controllers from Backward Reachable Sets.
CoRR, November, 2025

Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning Neural Koopman Operators with Dissipativity Guarantees.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
Compositional Estimation of Lipschitz Constants for Deep Neural Networks.
CoRR, 2024

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems.
CoRR, 2024

ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Block chain and Deep Learning Based Secure Communication using SAE-LSTM &Salp Swarm Optimizer for Multivariate Industrial IoT-oriented Infrastructure.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

An Intelligent Agent Based Optimal Scheduling & Congestion Free Routing Scheme to Enhance QoS of NFV Enabled Heterogeneous Wireless Sensor Network Framework.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
Learning Dissipative Neural Dynamical Systems.
IEEE Control. Syst. Lett., 2023

Safe Control Design Through Risk-Tunable Control Barrier Functions.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Reinforcement Learning Based Distributed Control of Dissipative Networked Systems.
IEEE Trans. Control. Netw. Syst., 2022

Data-Driven Identification of Dissipative Linear Models for Nonlinear Systems.
IEEE Trans. Autom. Control., 2022

Comments on "Distributed Synthesis of Local Controllers for Networked Systems With Arbitrary Interconnection Topologies".
IEEE Trans. Autom. Control., 2022

Malevolent Information Crawling Mechanism for Forming Structured Illegal Organisations in Hidden Networks.
Int. J. Cyber Warf. Terror., 2022

Safety During Transient Response in Direct Current Microgrids Using Control Barrier Functions.
IEEE Control. Syst. Lett., 2022

Distributed Learning of Neural Lyapunov Functions for Large-Scale Networked Dissipative Systems.
CoRR, 2022

The Impact of Heavy-Duty Vehicle Electrification on Large Power Grids: a Synthetic Texas Case Study.
CoRR, 2022

2021
Distributed Synthesis of Local Controllers for Networked Systems With Arbitrary Interconnection Topologies.
IEEE Trans. Autom. Control., 2021

PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids.
CoRR, 2021

Distributed Learning-based Stability Assessment for Large Scale Networks of Dissipative Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector.
CoRR, 2020

Compositional Verification of Passivity for Cascade Interconnected Nonlinear Systems.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

Data-driven Identification of Approximate Passive Linear Models for Nonlinear Systems.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Glacier Surface Flow Velocity of Hunza Basin, Karakoram Using Satellite Optical Data.
Proceedings of the Evolution in Computational Intelligence, 2020

A Privacy Preserving Model-Free Optimization and Control Framework for Demand Response from Residential Thermal Loads.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Mixed Voltage Angle and Frequency Droop Control for Transient Stability of Interconnected Microgrids with Loss of PMU Measurements.
Proceedings of the 2020 American Control Conference, 2020

2019
Sequential Synthesis of Distributed Controllers for Cascade Interconnected Systems.
Proceedings of the 2019 American Control Conference, 2019

2018
Conic-Sector-Based Analysis and Control Synthesis for Linear Parameter Varying Systems.
IEEE Control. Syst. Lett., 2018

Distributed Mixed Voltage Angle and Frequency Droop Control of Microgrid Interconnections with Loss of Distribution-PMU Measurements.
CoRR, 2018

Mixed Voltage Angle and Frequency Droop Control for Transient Stability of Interconnected Microgrids.
CoRR, 2018

2017
Provably Safe Cruise Control of Vehicular Platoons.
IEEE Control. Syst. Lett., 2017

Distributed control policies for localization of large disturbances in urban traffic networks.
Proceedings of the 2017 American Control Conference, 2017

2015
Localization of disturbances in transportation systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Passivity of Linear Parameter Varying systems with intermittent non-passive behavior.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


  Loading...