## Optimization Techniques, Issue 27 |

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### Contents

SYSTEM MODELLING AND IDENTIFICATION | 1 |

Some Statements and Ways of Solving Dynamic Optimization Problems | 18 |

Nonstationary Processes for Mathematical Programming Problems | 37 |

Copyright | |

21 other sections not shown

### Common terms and phrases

adjoint algorithm application approximation assume assumptions boundary calculated coefficients compact Computer constraints construct continuous continuous functions control problem convergence convex convex function convex set coordination corresponding criterion defined denote derivatives determined differential equations differential games distributed parameter systems distribution dynamic element equilibrium estimate Euler splines evaluation example exists extremum finite formula func fuzzy given gradient Hilbert space identification inequality initial input integral interval iteration Lemma linear matrix maximum principle measure method minimax minimization minimum mixed strategy Moscow multistage games nonlinear Novosibirsk objective function observation obtained open-loop open-loop control optimal control output parameters player polynomial positive possible quadratic random relations respect Russian saddle point satisfies sequence solution solved stochastic structure technique Theorem theory tion trajectory unique unit circle USSR vector zero