Design of Hybrid Adaptive and Learning Systems Achieving Coordinate Behavior under Complex Environment

本课题构建了混合自适应和学习控制方案的设计流程，利用分布式和局部控制策略实现大规模复杂过程的协调行为。由此开创了信息科学与技术的新研究领域，并从大规模复杂过程的协调控制的角度发展了系统与控制科学的一致性和理论性方法。

This research project constructed design procedures of hybrid adaptive and learning control schemes to achieve coordinate behaviors of large-scaled complex processes by utilizing distributed and local control strategies. By doing so, the research created new research fields in information science and technology, and developed consistent and theoretical methodologies in system and control science from the view point of coordinate control of large-scaled complex processes.