H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems

المؤلفون المشاركون

Yao, Jing
Wang, Jun
Xue, Dong

المصدر

Journal of Applied Mathematics

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-10-28

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الرياضيات

الملخص EN

A new concept of H∞ formation is proposed to handle a group of agents navigating in a free and an obstacle-laden environment while maintaining a desired formation and changing formations when required.

With respect to the requirements of changing formation subject to internal or external events, a hybrid multiagent system (HMAS) is formulated in this paper.

Based on the fact that obstacles impose the negative effect on the formation of HMAS, the H∞ formation is introduced to reflect the above disturbed situation and quantify the attenuation level of obstacle avoidance via the H∞-norm of formation stability.

An improved Newtonian potential function and a set of repulsive functions are employed to guarantee the HMAS formation-keeping and collision-avoiding from obstacles in a path planning problem, respectively.

Simulation results in this paper show that the proposed formation algorithms can effectively allow the multiagent system to avoid penetration into obstacles while accomplishing prespecified global objective successfully.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Xue, Dong& Yao, Jing& Wang, Jun. 2013. H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-447384

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Xue, Dong…[et al.]. H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems. Journal of Applied Mathematics No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-447384

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Xue, Dong& Yao, Jing& Wang, Jun. H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-447384

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-447384