[1]刘经纬,赵辉,周瑞,等.规则推理与神经计算智能控制系统改进及比较[J].智能系统学报,2017,12(6):823-832.[doi:10.11992/tis.201602015]
LIU Jingwei,ZHAO Hui,ZHOU Rui,et al.Improvement and comparison research between intelligent control systems based on rule based reasoning and neural computation AI methods[J].CAAI Transactions on Intelligent Systems,2017,12(6):823-832.[doi:10.11992/tis.201602015]
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LIU Jingwei,ZHAO Hui,ZHOU Rui,et al.Improvement and comparison research between intelligent control systems based on rule based reasoning and neural computation AI methods[J].CAAI Transactions on Intelligent Systems,2017,12(6):823-832.[doi:10.11992/tis.201602015]
规则推理与神经计算智能控制系统改进及比较
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
12
期数:
2017年第6期
页码:
823-832
栏目:
学术论文—智能系统
出版日期:
2017-12-25
- Title:
- Improvement and comparison research between intelligent control systems based on rule based reasoning and neural computation AI methods
- Keywords:
- intelligent system; intelligent control; advanced control; fuzzy PID; wavelet neural network PID
- 分类号:
- U621；TP273
- 摘要:
- 针对生产生活实践中的智能系统在实施控制过程中关键参数的实时在线智能整定与优化问题与需求，实现将不同类型人工智能方法与经典的控制方法对接从而构成多种复合控制（AI-CC）方法，提出改进算法并进行理论分析与仿真对比研究。首先实现了基于规则与模糊推理机制的AI-CC方法，提出了增量式改进算法，进而提出基于小波神经网络的AI-CC方法，进一步对两类智能系统的稳定性进行理论分析，提出稳定性保证算法，最后对比研究不同类型的智能系统在智能程度与性能特征方面的差异。研究成果为该领域研究者提供了多种改进的智能控制算法及其对比参照和理论分析，为该方法在工程实践中低成本地升级并稳定可靠地应用提供可操作方案。
- Abstract:
- To solve problems, enable real-time online tuning, and to optimize intelligent system parameters during production and daily life usage, different artificial intelligent-classical (AI-CC) control methods and systems are proposed using a combination of different types of artificial intelligent methods and classical control methods . Algorithm improvements are made, and a theoretical analysis comparing the stability and simulation of the AI-CC methods is also implemented. This research achieves the following. Implementation of a fuzzy classical-based intelligent control, and proposal of an incremental improvement algorithm and further adaptive wavelet neural network classical-based intelligent control (AI-CC). A theoretical analysis and stability ensuring method is also proposed and a comparative study undertaken. This research provides results of different types of improved AI-CC methods and a comparative study for use in further academic research, and is expected to enable low cost upgrades and a reliable solution (theoretical guarantee method) for engineering practitioners.
- 参考文献/References:
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备注/Memo
收稿日期:2016-02-27;改回日期:。
基金项目:国家自然科学基金项目（71371128，11402006）；北京社科基金研究基地项目（16JDYJB028）；北京市科技计划中央引导地方科技发展专项（Z171100004717002）；首经贸学术骨干培养计划（00791754840263）；首经贸研究生教学改革项目（00791754310106）；北京市属高校高水平教师队伍建设支持计划高水平创新团队建设计划（00791762300501）.
作者简介:刘经纬,男,1982年生,副教授,博士,主要研究方向为智能控制与智能系统。发表学术论文、专利20余篇,研究成果获国家级科技竞赛3项奖励。参加多项国家级、省部级自然科学基金项目;赵辉,男,1988年生,助理研究员,博士后,主要研究方向为人工智能轨道交通智能控制。发表学术论文10余篇;周瑞,女,1983年生,讲师,博士,主要研究方向为过程控制。主持国家基金1项,完成北京市基金2项,作为骨干成员参与国家自然科学基金3项,发表学术论文10余篇。
通讯作者:周瑞.E-mail:r.zhou@bucm.edu.cn.
更新日期/Last Update:
2018-01-03