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

In future intelligent transportation systems, networked vehicles coordinatewith each other to achieve safe operations based on an assumption thatcommunications among vehicles and infrastructure are reliable. Traditionalmethods usually deal with the design of control systems and communicationnetworks in a separated manner. However, control and communication systems aretightly coupled as the motions of vehicles will affect the overallcommunication quality. Hence, we are motivated to study the co-design of bothcontrol and communication systems. In particular, we propose a controltheoretical framework for distributed motion planning for multi-agent systemswhich satisfies complex and high-level spatial and temporal specificationswhile accounting for communication quality at the same time. Towards this end,desired motion specifications and communication performances are formulated assignal temporal logic (STL) and spatial-temporal logic (SpaTeL) formulas,respectively. The specifications are encoded as constraints on system andenvironment state variables of mixed integer linear programs (MILP), and uponwhich control strategies satisfying both STL and SpaTeL specifications aregenerated for each agent by employing a distributed model predictive control(MPC) framework. Effectiveness of the proposed framework is validated by asimulation of distributed communication-aware motion planning for multi-agentsystems.

Distributed Communication-aware Motion Planning for Multi-agent Systems from STL and SpaTeL Specifications