基于任务的复杂智能多网络协同性控制理论和关键技术

本项目拟研究基于任务的复杂智能多网络协同性控制理论与应用中的关键技术问题。首次引入复杂智能多网络协同性的概念和基于任务的复杂智能多网络协同性的概念；针对不同多网络模型，分析网络内部连接拓扑、网络之间连接拓扑和网络连接约束条件之间的关系 ，揭示多网络协同性机制和基于任务的多网络协同性机制；给出多网络协同性能力和基于任务的多网络协同性能力的度量计算解析式；提出基于任务的多网络同步或一致性控制稳定性判据和控制器设计有效算法；建立与任务相关的多网络同步或一致性可行性网络连接约束条件；建立基于任务的多网络协同性控制硬件平台。

This project is to study the key technology in the theory and application of complex intelligent multi network task - based cooperative control. The concept of complex intelligent multi – network cooperative and the concept of complex intelligent multi–network task-based cooperative are the first time introduced. According to the different multi network model, by analyzing the link topology relation among inter-network, out-network and the network connection constraint condition, it reveals the multi-network cooperative mechanism and the multi-network task- based cooperative mechanism. The analytic formulas of the measurement of the multi - network cooperative capacity and the multi - network task - based cooperative capacity are given, respectively. A stability criterion and an algorithm of the controller design for task - based multiple network synchronization or consensus control are proposed, and a feasible network connection constraint condition is established. A hardware platform is set up for validating the effect of the theoretical results proposed in this project.