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Moreover, an algorithm consisting of four steps to design the formation protocol is presented.
Graph theory, especially the algebraic graph theory, can be used for investigating various properties of the robot teams to design the formation and coordinated control mechanisms.
Based on the common Lyapunov functional approach and algebraic Riccati equation technique, an approach to design the formation protocol is presented.
The objective is to design the formation tracking algorithm such that a certain follower follows the trajectory of the leader while also maintains a certain desired geometric formation with other agents simultaneously.
In addition to formulation design, the formation process is crucial to the development of a foam with an optimum structure.
The visual perceptibility of sink marks is a deciding criterion for the quality of a variety of injection molded parts and, due to highly functional part design, the formation of sink marks is inevitable in many cases.
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The proposed technology utilizes the expansion of the plant model for designing the formation of a rapid-convergent sliding mode PI control and then the chatter is remarkably lessened.
In the case where the given time-varying formation belongs to the feasible formation set, it is proven that by designing the formation protocol using the proposed algorithm, time-varying formation can be achieved by multi-agent systems with general linear dynamics and switching directed topologies if the dwell time is larger than a positive threshold.
An approach to design the average formation tracking protocol is presented by solving an algebraic Riccati equation.
In order to avoid collision among robots, the parameter of the robots radius is utilized to design the caging formation, and the A⁎ algorithm is used so that mobile robots can move to the proper points.
Secondly, an algorithm with four steps is proposed to design the time-varying formation tracking protocol, where the time-varying formation tracking feasibility condition is introduced.
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