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Optimality Conditions for Stochastic Optimal Control (SOC) Problems

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Stochastic Multi-Stage Optimization

Part of the book series: Probability Theory and Stochastic Modelling ((PTSM,volume 75))

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Abstract

In this chapter, we consider Stochastic Optimal Control (SOC) problems anew, as introduced in Sect. 1.2.1 (see (1.1)) and discussed in Chap. 4.

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Notes

  1. 1.

    Other types of constraints advocated in Sect  1.1.2 might also be considered but we limit ourselves to those introduced hereafter.

  2. 2.

    The reader may refer to Sect.  A.1.4 for notations such as \(\nabla _{u} g\), \(\nabla _{x}g\), \(\nabla _{u}f\) and \(\nabla _{x}f\), and especially to Remark A.4 regarding the last two ones.

  3. 3.

    Observe that this holds true even if \(\lambda \) out of (5.13b) is non unique, that is, even if \(\nabla _{x} f(u,x)\) is singular.

  4. 4.

    Auto-Regressive Moving Average.

  5. 5.

    When \(\varOmega \) is finite, this claim is straightforward; otherwise it is rather technical to prove [149].

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Correspondence to Pierre Carpentier .

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Carpentier, P., Chancelier, JP., Cohen, G., De Lara, M. (2015). Optimality Conditions for Stochastic Optimal Control (SOC) Problems. In: Stochastic Multi-Stage Optimization. Probability Theory and Stochastic Modelling, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-319-18138-7_5

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