控制理论(社会学)
扰动(地质)
稳健性(进化)
有界函数
自适应控制
鲁棒控制
上下界
理论(学习稳定性)
跟踪误差
计算机科学
观测误差
跟踪(教育)
控制工程
工程类
控制系统
数学
控制(管理)
心理学
人工智能
统计
机器学习
基因
电气工程
生物
生物化学
数学分析
古生物学
化学
教育学
作者
Xuhui Bu,Zhongsheng Hou,Fei Yu,F. Wang
标识
DOI:10.1049/iet-cta.2011.0381
摘要
This study discusses the robustness of model free adaptive control (MFAC) algorithms. It is shown that the robust stability of MFAC system with bounded measurement disturbance can be guaranteed, and the bound on tracking error depends on the bound on the measurement disturbance. The statistical analysis approach is also introduced to investigate the influence of measurement disturbance. Then, a modified MFAC algorithm with decreasing gain is proposed. Theoretical analysis indicates that the proposed algorithm can attenuate measurement disturbance effectively and obtain better output performance. The analysis is supported by simulations.
科研通智能强力驱动
Strongly Powered by AbleSci AI