免疫控制算法与应用研究

生物免疫系统的学习、记忆、自适应和天然鲁棒性等特性为现代控制理论和控制工程提供了新的研究思路．介绍了生物免疫系统的相关机理，并对生物免疫系统、人工免疫系统和控制系统的相似性进行了说明，总结了主要的免疫模型、算法和免疫控制最新研究成果及应用情况，从理论分析、算法研究、融合研究、应用研究4个方面提出了免疫控制进一步的研究工作，指出了人工免疫系统应用于自适应控制、智能控制、反馈控制、顺序控制、机器人行为控制、自适应干扰中和器等方面的研究方向．结果表明：免疫控制具有十分广阔的应用前景，是富有挑战性的研究课题．

Study on Immune Control Algorithm and Application

Biological immune system's learning and memory and self-adapting and robustness offer modern control theory and engineer new research approach.Biological immune system's corresponding mechanisms are introduced.Similarities of biological immune system and artificial immune system and control system are illuminated.Immune models and algorithms and immune control's new researches and applications are summarized.A further study is pointed out in immune control field from theoretical analysis and algorithm research and fusion research and applied research.So are the research directions about artificial immune system to apply to aspect of adaptive control,intelligent control,feedback control,sequential control,robot behavior control,and auto-adapted disturbance neutralizing agent.The results indicate that the immune control has extremely broad prospect of application and it is a challenging research topic.