期刊文献+

多Agent航天自主运行系统的模型描述 被引量:1

The Model Description of Multi-Agent Based Autonomous System for Spacecraft
下载PDF
导出
摘要 针对基于多Agent的航天自主运行系统,梳理了模型描述的内容和要求。为了满足多Agent之间协同规划以及Agent内部自主规划的要求,提出了活动和方案两级的规划系统描述模型。在活动一级建立与时间、资源的约束关系,实现Agent之间的规划分解、交互协商。以方案描述系统组成部分的运行状态,并通过方案衔接约束和能量参数的定义,使Agent具有局部优化和适应变化的能力。使用选择性约束和优先级等参数,使规划活动更为灵活和鲁棒。Agent知识描述语言使用类似C++的语法,使用预定义类和函数来实现规划知识的描述,方便实现过程性运算,易于扩展。通过规划模型描述的实例验证了描述语言的描述能力。模型语言的处理程序已经应用于仿真系统,可以针对应用场景进行仿真。 The main points of planning description model for multi-agent based autonomous system for spacecraft are summarized. To meet the requirement of coordinated planning and autonomous planning, a two-level description model which is made up of activity and scheme is proposed. Activities are used for defining the restrains with time and resource and realizing the decomposition of the plan and interaction among agents for cooperation. The schemes are used for describing the status of components of the system. By using the definition of constrains and energy parameters of scheme, the planning agent is of the ability of local optimality and adaptability. Selective constrains and parameters of priority promote the planning even more flexible and robust. The agent knowledge description language is similar to C + +. The language is based on predefined class and function, which is easy to describe procedural operation and extend. The description ability of the language is proved through some examples and the simulation system is implemented by using this language.
作者 颜军 李勇
出处 《航天控制》 CSCD 北大核心 2013年第1期32-37,50,共7页 Aerospace Control
关键词 自主运行系统 规划模型描述 描述语言 Autonomous system Planning description model Description language
  • 相关文献

参考文献8

  • 1Lobosco D M, Cameron G E, Golding R A, et al. Pleia- des Fractionated Space System Architecture and the Fu- ture of National Security Space [ C ]. AIAA Space Confer- ence & Exposition, San Diego, California, 2008.
  • 2Nilsson N J, Fikes R E. STRIPS:A New Approach to the Application of Theorem Proving to Problem Solving [ J ]. Artificial Intelligence, 1971,2 ( 3 ) : 189-208.
  • 3Maria F, Derek L. PDDL2. 1 :An Extension to PDDL for Expressing Temporal Planning Domains [ J ]. Journal of Artificial Intelligence Research ,2003, (20) :61-124.
  • 4Fukunaga A, Rabideau G, Chien S, Yan D. ASPEN:A Framework for Automated Planning and Scheduling of Spacecraft Control and Operations [ C ]. International Symposium on Artificial Intelligence, Robotics and Auto- mation in Space (i-SAIRAS) , Tokyo, Japan, 1997.
  • 5Smith B, Sherwood R, Govindjee A, et al. Representing Spacecraft Mission Planning Knowledge in ASPEN [ C 1. Artificial Intelligence Planning Systems Workshop on Knowledge Acquisition, Pittsburgh, PA, 1998.
  • 6Muscettola N, Nayak P P, Pell B, Williams B C. Remote Agent: to Boldly Go Where No AI System Has Gone Be- fore [ J]. Artificial Intelligence, 1998, ( 103 ) :5-47.
  • 7Ghallab M, Howe A, Knoblock C, et al. PDDL -The Planning Domain Definition Language Version 1.2 [ C ]. Artificial Intelligence Planning and Scheduling Conference ( AIPS' 98 ) , Pittsburgh, Pennsylvania, 1998.
  • 8Allen J F, Koomen J A. Planning Using a Temporal World Model[ C ]. The 8'h International Joint Conference on Artificial Intelligence,Karlsruhe, Germany, 1983.

同被引文献9

引证文献1

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部