Since the control strategy is dynamic and may change this should be handled as a life cycle approach requiring the use of quality risk management and knowledge management.
由于控制策略是动态的，可能会发生变更，因此需要采用质量风险管理和知识管理工具，作为一个生命周期方法来管理。
Besides, some heuristic knowledge should be developed to guide the dynamic hierarchical distribution of the control.
此外，启发式知识应加以开发去指导控制的动态层次分布。
In this paper, dynamic control systems are divided by way of artificial intelligence and the dynamic property of the system is expressed according to knowledge division level.
本文从人工智能的方法出发将动态控制系统进行分解，按知识分层来表达系统的动态特征。
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