Titlebook: Applied and Computational Optimal Control; A Control Parametriz Kok Lay Teo,Bin Li,Volker Rehbock Book 2021 The Editor(s) (if applicable) a

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https://doi.org/10.1007/978-94-009-8414-1n with a novel time scaling transform. Essentially, an optimal control problem with its control functions being approximated by an appropriate linear combination of spline functions is reduced to an optimal parameter selection problem.

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https://doi.org/10.1007/978-94-009-8414-1shion. In this chapter, we first use the dynamic programming approach to study a class of discrete time optimal control problems. We then move on to consider a general class of constrained discrete time optimal control problems in canonical form. An efficient algorithm supported by a rigorous conver

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https://doi.org/10.1007/978-3-031-22315-0problems with respect to various types of parameters. An optimal parameter selection problem can be regarded as a special type of optimal control problems in which the controls are restricted to be constant functions of time. Many optimization problems involving dynamical systems can be formulated a

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Richard G. Bagnall,Steven Hodgeion technique for solving various classes of optimal control problems. Basically, the method partitions the time interval [0, .] into several subintervals and the control variables are approximated by piecewise constant or piecewise linear functions with pre-fixed switching times. Through this proce

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,Qualität von Kindertageseinrichtungen,timal parameter selection and optimal control problems in which the dynamical system is governed by linear Ito stochastic differential equation involving a Wiener process. Both the control and system parameter vectors may, however, appear nonlinearly in the system dynamics.

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