Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97006
Title: A new dynamical linearization based adaptive ILC for nonlinear discrete-time MIMO systems
Authors: Chi, Ronghu
Hou, Zhongsheng
Jin, Shangtai
Wang, Danwei
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Chi, R., Hou, Z., Jin, S.,& Wang, D. (2012). A new dynamical linearization based adaptive ILC for nonlinear discrete-time MIMO systems. 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 442-446.
Abstract: Most of the available results of adaptive iterative learning control (AILC) hitherto have considered the control systems with known linearly parameterized structures. A dynamical linearization approach is developed for a general nonlinear multiple input multiple output systems. And then a discrete-time adaptive ILC approach is presented to deal with the ILC problems of nonlinear MIMO systems with iteration-varying initial error and reference trajectory. The controller design and analysis is completely data-driven without using any modeling information of the plant, but the measured I/O data only. The almost perfect tracking performance is asymptotically guaranteed by rigirous mathematical analysis.
URI: https://hdl.handle.net/10356/97006
http://hdl.handle.net/10220/11801
DOI: 10.1109/ICARCV.2012.6485199
Rights: © 2012 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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