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20242026
most citedAdaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems

2 citations · 2 across the 11 of their papers we have counts for

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7 papers · 1 filter

eess.SY2026

Risk-Aware Input-Constrained Safe Intercept Guidance Against Multiple Moving Defenders

Praveen Kumar Ranjan, Abhinav Sinha, Yongcan Cao +2

This paper develops a risk-aware guidance law for an attacker to intercept a stationary target in the presence of multiple moving defenders while respecting the control input limit…

eess.SY2026

Engagement-Zone-Aware Input-Constrained Guidance for Safe Target Interception in Contested Environments

Praveen Kumar Ranjan, Abhinav Sinha, Yongcan Cao

We address target interception in contested environments in the presence of multiple defenders whose interception capability is limited by finite ranges. Conventional methods typic…

eess.SY2025

Three-dimensional Integrated Guidance and Control for Leader-Follower Flexible Formation of Fixed Wing UAVs

Praveen Kumar Ranjan, Abhinav Sinha, Yongcan Cao

This paper presents a nonlinear integrated guidance and control (IGC) approach for flexible leader-follower formation flight of fixed-wing unmanned aerial vehicles (UAVs) while acc…

eess.SY2025

Safety-Critical Input-Constrained Nonlinear Intercept Guidance in Multiple Engagement Zones

Praveen Kumar Ranjan, Abhinav Sinha, Yongcan Cao

This paper presents an input-constrained nonlinear guidance law to address the problem of intercepting a stationary target in contested environments with multiple defending agents.…

eess.SY2025

Adaptive Event-Triggered Policy Gradient for Multi-Agent Reinforcement Learning

Umer Siddique, Abhinav Sinha, Yongcan Cao

Conventional multi-agent reinforcement learning (MARL) methods rely on time-triggered execution, where agents sample and communicate actions at fixed intervals. This approach is of…

eess.SY2024

3D Guidance Law for Flexible Target Enclosing with Inherent Safety

Praveen Kumar Ranjan, Abhinav Sinha, Yongcan Cao

In this paper, we address the problem of enclosing an arbitrarily moving target in three dimensions by a single pursuer while ensuring the pursuer's safety by preventing collisions…

eess.SY2024

Self-organizing Multiagent Target Enclosing under Limited Information and Safety Guarantees

Praveen Kumar Ranjan, Abhinav Sinha, Yongcan Cao

This paper introduces an approach to address the target enclosing problem using non-holonomic multiagent systems, where agents self-organize on the enclosing shape around a fixed t…