Model-free iterative learning control for LTI systems with actuator constraints

Model-free iterative learning control for LTI systems with actuator constraints

This paper presents a model-free iterative learning control algorithm for linear time-invariant systems. At every trial, a finite impulse response filter to update the system input is calculated by solving a convex optimization problem that minimizes the next trial’s tracking error taking into account actuator constraints. Simulation results show the ability of the proposed model-free method to...

Feedback-Based Iterative Learning Control for MIMO LTI Systems

This paper proposes a necessary and sufficient condition of convergence in the 2 L norm sense for a feedback-based iterative learning control (ILC) system including a multi-input multi-output (MIMO) linear time-invariant (LTI) plant. It is shown that the convergence conditions for a nominal plant and an uncertain plant are equal to the nominal performance condition and the robust performance co...

Iterative learning identification and control for dynamic systems described by NARMAX model

A new iterative learning controller is proposed for a general unknown discrete time-varying nonlinear non-affine system represented by NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. The proposed controller is composed of an iterative learning neural identifier and an iterative learning controller. Iterative learning control and iterative learning identification ar...

Parameter dependent Lyapunov function based robust iterative learning control for discrete systems with actuator faults

1Institute of Control Technology, Wuxi Institute of Technology, Wuxi 214122, PR China. 2Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China. 3Institute of Control and Computation Engineering, University of Zielona Gora, ul. Podgorna 50, 65-246 Zielona Gora, Poland. 4Department of Electronics and Computer Science, Univ...

Robust iterative learning control design is straightforward for uncertain LTI systems satisfying the robust performance condition