自动化学报2008，Vol.34Issue(7)：805-808,4.
非线性时变参数不确定系统的自适应迭代学习控制
A New Discrete-time Adaptive ILC for Nonlinear Systems with Time-varying Parametric Uncertainties
摘要
Abstract
Using the analogy between the discrete time axis and the iterative learning axis, a new discrete-time adaptive iterative learning control (AILC) approach is developed to address a class of nonlinear systems with time-varying parametric uncertainties. Analogous to adaptive control, the new AILC can incorporate a projection algorithm, thus the learning gain can be tuned iteratively along the learning axis. When the initial states are random and the reference trajectory is iteration-varying, the new AILC can achieve the pointwise convergence over a finite time interval asymptotically along the iterative learning axis.关键词
Iterative learning control (ILC)/adaptive control/time-varying parameters/non-identical initial condition/non-identical trajectoryKey words
Iterative learning control (ILC)/adaptive control/time-varying parameters/non-identical initial condition/non-identical trajectory分类
信息技术与安全科学引用本文复制引用
池荣虎,隋树林,侯忠生..非线性时变参数不确定系统的自适应迭代学习控制[J].自动化学报,2008,34(7):805-808,4.基金项目
Supported by National Natural Science Foundation of China (60474038) and Science Research Foundation of Qingdao University of Science and Technology (0022324) （60474038）
