首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Monotone Approximations of Minimum and Maximum Functions and Multi-objective Problems
Authors:Du?an M Stipanovi?  Claire J Tomlin  George Leitmann
Institution:1. Coordinated Science Laboratory, Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
2. Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, USA
3. College of Engineering, University of California at Berkeley, Berkeley, USA
Abstract:In this paper the problem of accomplishing multiple objectives by a number of agents represented as dynamic systems is considered. Each agent is assumed to have a goal which is to accomplish one or more objectives where each objective is mathematically formulated using an appropriate objective function. Sufficient conditions for accomplishing objectives are derived using particular convergent approximations of minimum and maximum functions depending on the formulation of the goals and objectives. These approximations are differentiable functions and they monotonically converge to the corresponding minimum or maximum function. Finally, an illustrative pursuit-evasion game example with two evaders and two pursuers is provided.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号