Please use this identifier to cite or link to this item:
|Title:||A new dynamical linearization based adaptive ILC for nonlinear discrete-time MIMO systems||Authors:||Chi, Ronghu
|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
|DOI:||10.1109/ICARCV.2012.6485199||Rights:||© 2012 IEEE.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||EEE Conference Papers|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.