Adaptive ILC for a Class of Nonlinear Discrete-time Systems without Matching Conditions on Initial State and Reference Trajectory

摘要：

A discrete-time adaptive ILC approach is presented for a class of general nonlinear systems without any assumption of linearly parameterization on the nonlinearities. The controller design and analysis is completely data-driven without using any modeling information of the plant. Only the measured I/O data of the plant is utilized for the presented adaptive ILC mechanism. The almost perfect tracking performance is guaranteed except for the initial time step when both the initial states and reference trajectory are iteration-varying.

关键词： Adaptive ILC Discrete-time Nonlinear systems Varying initial conditions Iteration-varying reference Data-driven approach

作者: CHI Ronghu HOU Zhongsheng JIN Shangtai WANG Danwei

作者单位: School of Automation & Electrical Engineering, Qingdao University of Science & TechnologyQingdao 266 Advanced Control Systems Lab, School of Electronics & Information Engineering, Beijing Jiaotong Univ EXQUISITUS, Centre for E-City, School of Electrical & Electronic Engineering, Nanyang Technological

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3009-3012

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）