The phrase "agents formation" is not correct in standard written English.
It may be intended to refer to the process or act of forming agents, but it lacks clarity and proper grammatical structure.
Example: "The agents formation process is crucial for developing effective teams in the organization."
Alternatives: "agent development" or "agent training".
If H2SO4 or HNO3 are used as chemical agents, formation of H2S and N2 due to reduction of sulphate and nitrate respectively, may cause a decrease in methane production (Hendriks and Zeeman 2009).
When cells are treated with DNA-damaging agents, formation of regions of RPA-coated ssDNA that are detectable by immunofluorescence techniques primarily reflects two effects: uncoupling of the normally synchronized movements of replicative DNA polymerases and helicases at ongoing replication forks (27); and DNA-end resection at sites of DNA breaks.
This paper concerns the leader-follower multiple agent formation with nonlinear and coupled individual dynamics.
We address the problem of multi-agent formation control by proposing a decentralized control strategy.
Our approach is based on abstracting the agent formation by a rectangular grid.
We only define a geometric topology for the agent formation, and by correctly choosing the cost function, show that our algorithm produces a communication topology mirroring the geometric topology.
In the case of PVP as capping agent, formation of fine spherical particles only has been observed.
The competition between the reduction of free metal ions and absorbed ones could be controlled by the rate of reducing agent formation [31].
The development of modern science and technology has given birth to a class of large-scale systems where different components are distributed spatially but work in a collaborative fashion to accomplish certain tasks such as target tracking, environment perception, process monitoring, multi-agent formation control, etc.
This paper employs this concept for shape control in multi-agent formations with leader-follower architecture.
Among these are consensus and flocking problems, the multi-agent rendezvous problem, distributed averaging, localization of sensors in a multi-sensor network, distributed algorithms for solving linear equations, opinion dynamics, distributed state estimation, and the distributed management of multi-agent formations.
