Title : 
Experimental comparison of some classical iterative learning control algorithms
         
        
            Author : 
Norrlöf, Mikael ; Gunnarsson, Svante
         
        
            Author_Institution : 
Dept. of Electr. Eng., Linkoping Univ., Sweden
         
        
        
        
        
            fDate : 
8/1/2002 12:00:00 AM
         
        
        
        
            Abstract : 
This paper gives an overview of classical iterative learning control algorithms. The presented algorithms are also evaluated on a commercial industrial robot from ABB. The paper covers implicit to explicit model-based algorithms. The result from the evaluation of the algorithms is that performance can be achieved by having more system knowledge.
         
        
            Keywords : 
industrial robots; matrix algebra; robust control; stability; classical iterative learning control algorithms; commercial industrial robot; industrial robot; model-based algorithms; Actuators; Algorithm design and analysis; Control systems; Electrical equipment industry; History; Industrial control; Iterative algorithms; Iterative methods; Robot control; Service robots;
         
        
        
            Journal_Title : 
Robotics and Automation, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TRA.2002.802210