English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper concerns an application of a recently-developed nonlinear trackingtechnique to trajectory control of autonomous vehicles at trafficintersections. The technique uses a flow version of the Newton-Raphson methodfor controlling a predicted system-output to a future reference target. Itsimplementations are based on numerical solutions of ordinary differentialequations, and it does not specify any particular method for computing itsfuture reference trajectories. Consequently it can use relatively simplealgorithms on crude models for computing the target trajectories, andmore-accurate models and algorithms for trajectory control in the tight loop.We demonstrate this point at an extant predictive traffic planning-and-controlmethod with our tracking technique. Furthermore, we guarantee safetyspecifications by applying to the tracking technique the framework of controlbarrier functions.

Intersection-Traffic Control of Autonomous Vehicles using Newton-Raphson Flows and Barrier Functions