Title :
ℋ℞ based disturbance attenuation for iterative learning control
Author :
Galkowski, Krzysztof ; Dabkowski, Pawel ; Rogers, Eric
Author_Institution :
Inst. of Control & Comput. Eng., Univ. of Zielona Gora, Zielona Gora, Poland
Abstract :
Previous research has shown that repetitive processes, a class of 2D systems, can be used to design linear model based iterative learning control laws for convergence and transient performance, with supporting experimental benchmarking. In many applications attenuation of disturbances acting on the plant signals will also be required. The new results in this paper are control law design algorithms for this problem with disturbance attenuation measured by an ℋ∞ norm.
Keywords :
adaptive control; control system synthesis; convergence; iterative methods; learning systems; ℋ∞ based disturbance attenuation; 2D systems; control law design algorithms; convergence; experimental benchmarking; linear model based iterative learning control law design; repetitive processes; transient performance; Attenuation; Convergence; Process control; Robots; State-space methods; Symmetric matrices; Vectors; (Under)water vehicles; Control applications; LMIs;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6858745
