TY - GEN
T1 - Robust iterative learning control for linear systems with time-invariant parametric uncertainties
AU - Nguyen, Dinh Hoa
AU - Banjerdpongchai, David
PY - 2009/12/1
Y1 - 2009/12/1
N2 - This paper presents a novel algorithm of the robust iterative learning control for linear systems subject to timeinvariant parametric uncertainties. The design problem is formulated as a min-max problem with a quadratic performance criterion. Then, we derive an upper-bound of the worst-case performance. Applying Lagrange duality to the minimization problem leads to a dual problem which can be reformulated as an optimization problem over linear matrix inequalities. An algorithm is given afterward and its convergence properties are proved. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
AB - This paper presents a novel algorithm of the robust iterative learning control for linear systems subject to timeinvariant parametric uncertainties. The design problem is formulated as a min-max problem with a quadratic performance criterion. Then, we derive an upper-bound of the worst-case performance. Applying Lagrange duality to the minimization problem leads to a dual problem which can be reformulated as an optimization problem over linear matrix inequalities. An algorithm is given afterward and its convergence properties are proved. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=77951095249&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:77951095249
SN - 9784907764333
T3 - ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
SP - 4178
EP - 4183
BT - ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
T2 - ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
Y2 - 18 August 2009 through 21 August 2009
ER -