混合系统分布式智能控制理论

Xiaolin Ge, A. Nerode, W. Kohn, J. James
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引用次数: 3

摘要

讨论了交互过程的多智能体分布式控制的研究进展。我们的多智能体混合控制体系结构方法是一种具有广泛适用性的新技术,因为它集成了逻辑(基于集合的)和复杂系统行为的连续时间模型的应用。用于混合系统集成的Kohn-Nerode方法(1992,1993)强调将满足当前约束的自动机的在线综合。该方法的一个关键特征是自动机的行为轨迹(例如智能体i的行为轨迹)在载体流形中是连续的。我们通过讨论涉及多个目标的多个代理的情况,提供了我们的结果的一个例子,代理的行为是连续的,相对于多个参与过程模型,其潜力决定了过程在一个时间间隔内活动的时间部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed intelligent control theory of hybrid systems
We discuss advances in multiple-agent, distributed control of interactive processes. Our multiple agent hybrid control architecture approach is a new technology with broad applicability since it integrates the application of logic (set-based) and continuous-time models of complex system behavior. The Kohn-Nerode approach (1992, 1993) for integration of hybrid systems emphasizes online synthesis of automata which will meet current constraints. A key feature of the approach is that the evolution of the behavior trajectory of the automata (e.g. the behavior trajectory of agent i) is continuous in the carrier manifold. We provide an example of our results by discussing the case of multiple agents involved in the engagement of multiple targets, the agent behavior is continuous with respect to the multiple engagement process models whose potentials determine the portion of time the process is active in a time interval.<>
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