S. Kondratev

Neural state estimation and optimization synthesis of flocking control for mobile robots swarm under uncertainty

The authors propose a method that integrates a learned state estimator based on a fully connected neural network, approximating the particle filter with simultaneous uncertainty evaluation, and an optimization regulator with a control barrier function and a control-Lyapunov function that ensures accuracy comparable to...