A framework is developed which allows a general class of ILC algorithm to be applied to tasks which require the plant output to reach a given point in a set time. It is shown that superior convergence and robustness properties are obtained compared with those associated with using the original ILC algorithm to track an arbitrary reference trajectory satisfying the end-point conditions. Experimental results are presented to confirm the theoretical findings, and verify the favourable qualities of this novel approach to point-to-point movement control
Iterative learning control is concerned with tracking a reference trajectory defined over a finite t...
Iterative learning control (ILC) is a high performance control design method for systems working in ...
The technique of iterative learning control (ILC) is frequently applied to improve the tracking perf...
A framework is developed which enables a general class of linear Iterative Learning Control (ILC) al...
Iterative learning control (ILC) is designed for applications involving multiple executions of the s...
A framework is developed which enables a general class of linear Iterative Learning Control (ILC) al...
A novel design approach is proposed for point-to-point iterative learning control (ILC), enabling sy...
Iterative learning control (ILC) is a high performance control design method for systems working in ...
Iterative learning control (ILC) is a high performance method for systems operating in a repetitive ...
The Iterative Learning Control (ILC) problem in which tracking is only required at a subset of isola...
Iterative learning control (ILC) enables a perfect compensation for systems that perform the same ta...
Iterative learning control (ILC) enables a perfect compensation for systems that perform the same ta...
Iterative learning control (ILC) enables a perfect compensation for systems that perform the same ta...
Iterative learning control (ILC) is a high performance control technique for systems operating in a ...
In this thesis, we present new iterative learning control (ILC) frameworks for multiple points track...
Iterative learning control is concerned with tracking a reference trajectory defined over a finite t...
Iterative learning control (ILC) is a high performance control design method for systems working in ...
The technique of iterative learning control (ILC) is frequently applied to improve the tracking perf...
A framework is developed which enables a general class of linear Iterative Learning Control (ILC) al...
Iterative learning control (ILC) is designed for applications involving multiple executions of the s...
A framework is developed which enables a general class of linear Iterative Learning Control (ILC) al...
A novel design approach is proposed for point-to-point iterative learning control (ILC), enabling sy...
Iterative learning control (ILC) is a high performance control design method for systems working in ...
Iterative learning control (ILC) is a high performance method for systems operating in a repetitive ...
The Iterative Learning Control (ILC) problem in which tracking is only required at a subset of isola...
Iterative learning control (ILC) enables a perfect compensation for systems that perform the same ta...
Iterative learning control (ILC) enables a perfect compensation for systems that perform the same ta...
Iterative learning control (ILC) enables a perfect compensation for systems that perform the same ta...
Iterative learning control (ILC) is a high performance control technique for systems operating in a ...
In this thesis, we present new iterative learning control (ILC) frameworks for multiple points track...
Iterative learning control is concerned with tracking a reference trajectory defined over a finite t...
Iterative learning control (ILC) is a high performance control design method for systems working in ...
The technique of iterative learning control (ILC) is frequently applied to improve the tracking perf...