摘要
对于一类非线性系统,在有界的初态干扰和输出干扰的情况下,提出了一种开闭环PD型迭代学习算法。系统在初值任意的情况下,进行初态学习的开闭环PD型迭代学习控制,并且推导出了关于初态学习的收敛性的充分条件。通过与开环PD型和闭环PD型迭代学习算法作对比来进行仿真验证,仿真结果验证了算法的有效性。
For a class of nonlinear systems in the case of the initial state interference and interference output community situation, a new open closed loop PD-type iterative learning algorithms were proposed. The initial value of the system in any case, to conduct open-closed loop PD-type iterative learning control of the initial state learn, and the sufficient conditions on the initial state of learning convergence were derived. Through the open loop PD-type and the closed loop PD-type iterative learning algorithm for comparison to simulation, simulation results demonstrate the effectiveness of the algorithm.
出处
《科学技术与工程》
北大核心
2015年第32期49-53,共5页
Science Technology and Engineering
基金
国家自然科学基金(61263008)
甘肃省自然科学基金(1112RJZA023
1107RJZA150)资助
关键词
非线性系统
任意初值
迭代学习
开闭环PD型
nonlinear systems arbitrary initial value iterative learning open-closed loop PD - type
