Abstract
A new approach to the optimal control of diffusion processes based on Lagrange functionals is presented. The method is conceptually and technically simpler than existing ones. A first class of functionals allows to obtain optimality conditions without any resort to stochastic calculus and functional analysis. A second class, which requires Ito's rule, allows to establish optimality in a larger class of problems. Calculations in these two methods are sometimes akin to those in minimum principles and in dynamic programming, but the thinking behind them is new. A few examples are worked out to illustrate the power and simplicity of this approach.
Original language | English (US) |
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Pages (from-to) | 101-122 |
Number of pages | 22 |
Journal | Acta Applicandae Mathematicae |
Volume | 32 |
Issue number | 2 |
DOIs | |
State | Published - Aug 1993 |
Keywords
- diffusion process
- Lagrange functional
- Mathematics Subject Classification (1991): 93E20
- minimum principle
- Stochastic control
ASJC Scopus subject areas
- Applied Mathematics