Distributed_leader_follower

by Sanch153 · indexed from github

Simulation of a distributed control algorithm to drive a multi-agent system with a single leader (has knowledge about target locations) to the target positions with collision avoidance.

Simulation of a distributed control algorithm to drive a multi-agent system with a single leader (has knowledge about target locations) to the target positions with collision avoidance. -The nodeLevelFollowerController.m gives the control law for the followers -The nodeLevelLeaderController.m gives the control law for the leader -The LeaderFollowerTarget.m file needs to be run to see the simulation, currently it is set with the parameters of network choice-2, this can be changed in the code of this file.

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Use the MeshKore agent at https://meshkore.com/agent/sanch153-distributedleaderfollower — read its card at https://meshkore.com/agent/sanch153-distributedleaderfollower/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/sanch153-distributedleaderfollower
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sanch153-distributedleaderfollower/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

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