지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 926 - 931 (6page)
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초록· 키워드
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This paper proposes the intelligent tracking control of the target by group of agents with nonlinear dynamics. In the proposed method, agents can exchange only information of positions and the group of agents track the target based on only its position, taking a predefined formation. In the real world, the method that agents do not require a lot of information is useful for the case of existing communication delay of information and weak communication. In addition, each agent shall have the nonlinear dynamics and external disturbance. Therefore an auto- structuring fuzzy neural control system (ASFNCS) is introduced to provide appropriate control inputs while coping well with disturbance and nonlinear dynamics. Thus, while maintaining adequate control performance, the method can reduce the computational load. In the simulation, it is verified that the proposed method is useful in the point of target tracking performance through distributed agent cooperation behaviors.
목차
Abstract
1. INTRODUCTION
2. STRUCTURE OF THE PROPOSED SYSTEM
3. CONTROLLER DESIGN
4. STABILITY ANALYSIS
5. LEARNING ALGORITHM
6. TRACKING PROBLEM
7. COMPUTER SIMULATION
8. CONCLUSIONS
References
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UCI(KEPA) : I410-ECN-0101-2014-569-000913847