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Found 8 papers, 0 papers with code
3D Guidance Law for Maximal Coverage and Target Enclosing with Inherent Safety
In this paper, we address the problem of enclosing an arbitrarily moving target in three dimensions by a single pursuer, which is an unmanned aerial vehicle (UAV), for maximum coverage while also ensuring the pursuer's safety by preventing collisions with the target.
Self-organizing Multiagent Target Enclosing under Limited Information and Safety Guarantees
The proposed control eliminates the need for a fixed or pre-established agent arrangement around the target and requires only relative information between an agent and the target.
Cooperative Nonlinear Guidance Strategies for Guaranteed Pursuit-Evasion
We develop cooperative guidance laws for the evader-defender team that guarantee that the defender intercepts the pursuer before it reaches the vicinity of the evader.
Consensus-driven Deviated Pursuit for Guaranteed Simultaneous Interception of Moving Targets
Unlike existing strategies on simultaneous interception that achieve interception at the average value of their initial time-to-go estimates, this work provides flexibility in the choice of impact time.
Fairness in Preference-based Reinforcement Learning
Toward this objective, we design a new fairness-induced preference-based reinforcement learning or FPbRL.
Cooperative Target Capture using Predefined-time Consensus over Fixed and Switching Networks
We propose predefined-time consensus-based cooperative guidance laws for a swarm of interceptors to simultaneously capture a target capable of executing various kinds of motions.
Three-agent Time-constrained Cooperative Pursuit-Evasion
We design cooperative guidance laws for the evader and the defender team to safeguard the evader from an attacking pursuer.
Online Linear Optimization via Smoothing
We present a new optimization-theoretic approach to analyzing Follow-the-Leader style algorithms, particularly in the setting where perturbations are used as a tool for regularization.
