×

zbMATH — the first resource for mathematics

Optimal programmed control of stochastic plants with constraints on the state for each time instant. (English. Russian original) Zbl 0554.93074
Autom. Remote Control 45, 859-866 (1984); translation from Avtom. Telemekh. 1984, No. 7, 49-57 (1984).
A stochastic plant is described by means of the differential equation \((dx/dt)=f(x(t),u(t),t,\omega)\), \(0\leq t\leq T\), \(x(0)=a(\omega)\), where x(t) is the random state n-vector, u(t) is a deterministic control m- vector, \(\omega\) is a random parameter and a(\(\omega)\) is the random initial state. Furthermore, the control u(\(\cdot)\) is a piecewise continuous function from [0,T] into a bounded subset \(\Delta\) of \({\mathbb{R}}^ m\). There are inequality and equality constraints for the plant connecting the means of certain functions of (x(t),u(t),t,\(\omega)\), \(0\leq t\leq T\). The cost function \(\phi =\phi (u(\cdot),T)\) to be minimized subject to u(\(\cdot)\) and T involves again means of some functions of (x(t),u(t),t,\(\omega)\), \(0\leq t\leq T\). Necessary optimality conditions are given by means of a ”stochastic maximum principle”.
Reviewer: K.Marti
MSC:
93E20 Optimal stochastic control
49K45 Optimality conditions for problems involving randomness
93C10 Nonlinear systems in control theory
93C15 Control/observation systems governed by ordinary differential equations
34F05 Ordinary differential equations and systems with randomness
PDF BibTeX XML Cite