作者: Christopher Schneider , Walter Alt
DOI: 10.1007/978-3-662-45504-3_29
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摘要: We analyze \(L^2\)-regularization of a class linear-quadratic optimal control problems with an additional \(L^1\)-control cost depending on parameter \(\beta \). To deal this nonsmooth problem we use augmentation approach known from linear programming in which the number variables is doubled. It shown that if for given ^*\ge 0\) bang-zero-bang, solutions are continuous functions \) and regularization \(\alpha Moreover derive error estimates Euler discretization.