This report compares three algorithms from recent papers published on iterative learning control. This is done by applying the algorithms to a gantry robot both in simulations and experiments. Results of this is given. Similarities and differences between the algorithms are presented, which can be used to decide when to use what algorithm
The initial choice of input in iterative learning control (ILC) generally has a significant effect o...
This paper is concerned with the practical implementation of the norm-optimal iterative learning con...
This paper proposes a model-based iterative learning control algorithm for time-varying systems with...
This report compares three algorithms from recent papers published on iterative learning control. Th...
This paper gives an overview of classical Iterative Learning Control algorithms. The presented algor...
This thesis concerns the implementation and comparison of different Iterative Learning Control (ILC)...
This thesis concerns the general area of experimental benchmarking of Iterative Learning Control (IL...
A number of iterative learning control algorithms have been developed in a stochastic setting in rec...
Iterative Learning Control algorithms have been shown to offer a high level of performance both theo...
Iterative learning control is a technique especially developed for application to processes which ar...
This book develops a coherent theoretical approach to algorithm design for iterative learning contro...
Iterative learning control applied to a simplified model of a robot arm is studied. The iterative le...
This thesis concerns the general area of experimental benchmarking of Iterative Learning Control (IL...
Many manipulators at work in factories today repeat their motions over and over in cycles and if the...
10.1016/j.engappai.2004.08.002Engineering Applications of Artificial Intelligence176675-686EAAI
The initial choice of input in iterative learning control (ILC) generally has a significant effect o...
This paper is concerned with the practical implementation of the norm-optimal iterative learning con...
This paper proposes a model-based iterative learning control algorithm for time-varying systems with...
This report compares three algorithms from recent papers published on iterative learning control. Th...
This paper gives an overview of classical Iterative Learning Control algorithms. The presented algor...
This thesis concerns the implementation and comparison of different Iterative Learning Control (ILC)...
This thesis concerns the general area of experimental benchmarking of Iterative Learning Control (IL...
A number of iterative learning control algorithms have been developed in a stochastic setting in rec...
Iterative Learning Control algorithms have been shown to offer a high level of performance both theo...
Iterative learning control is a technique especially developed for application to processes which ar...
This book develops a coherent theoretical approach to algorithm design for iterative learning contro...
Iterative learning control applied to a simplified model of a robot arm is studied. The iterative le...
This thesis concerns the general area of experimental benchmarking of Iterative Learning Control (IL...
Many manipulators at work in factories today repeat their motions over and over in cycles and if the...
10.1016/j.engappai.2004.08.002Engineering Applications of Artificial Intelligence176675-686EAAI
The initial choice of input in iterative learning control (ILC) generally has a significant effect o...
This paper is concerned with the practical implementation of the norm-optimal iterative learning con...
This paper proposes a model-based iterative learning control algorithm for time-varying systems with...