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Titlebook: Mathematical Systems Theory and Economics I/II; Proceeding of an Int H. W. Kuhn,G. P. Szeg? Conference proceedings 1969 Springer-Verlag Ber

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樓主: INFER
11#
發(fā)表于 2025-3-23 10:05:24 | 只看該作者
Semi-Dynamical SystemsI wish to take this opportunity to initiate a systematic study of what we shall, following HAJEK [18], call Semi-Dynamical Systems.
12#
發(fā)表于 2025-3-23 13:57:44 | 只看該作者
13#
發(fā)表于 2025-3-23 19:10:40 | 只看該作者
On the controllability of linear difference-differential systemsIn this note we shall obtain some new properties related with the concept of complete controllability, following the ideas exposed in the Appendix A of the book of V.M. Popov [1].
14#
發(fā)表于 2025-3-23 23:33:43 | 只看該作者
15#
發(fā)表于 2025-3-24 03:01:54 | 只看該作者
16#
發(fā)表于 2025-3-24 07:47:03 | 只看該作者
Dynamical Systemsarious authors in the field of dynamical systems. With the appearance of our lecture notes [1] this prospect is not too attractive now so that I would like to concentrate on a couple of problems and techniques which seem to hold promise. But first the following definition.
17#
發(fā)表于 2025-3-24 13:09:26 | 只看該作者
18#
發(fā)表于 2025-3-24 18:07:52 | 只看該作者
On the Inverse Optimal Problemations. The inverse optimal problem is the one in which one tries to infer from a given savings function what class of utility functions could give rise to the given savings function as an optimal solution of a specialized optimization problem.
19#
發(fā)表于 2025-3-24 19:53:59 | 只看該作者
On the Controllability of Decentralized Macroeconomic Systems: The Assignment Problemst, control responsibility in economic systems is frequently spread among a number of institutions, each operating with limited information on the state of the system and the behavior of other institutions. In this environment, each controlling agency must form a . behavioral strategy based on the partial information it receives.
20#
發(fā)表于 2025-3-25 01:21:32 | 只看該作者
Control vector fields on manifolds and attainabilityclass C., then any control u ε . steering a point of the manifold to the boundary of its set of attainability satisfies the Pontryagin Maximum Principle. Similar results for control processes in Euclidean spaces (under various restrictions) have been proved by different methods (see e.g. [2], [3], [1]).
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