Many papers in economics have been written using optimal control theory with what appear to be diverse models. The qualitative results developed in the papers have been related only to the specific model at hand. This paper shows that most of the useful qualitative results occur because the same sma
Fields of extremals and infinite horizon optimal control problems
β Scribed by Atle Seierstad
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 164 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0143-2087
No coin nor oath required. For personal study only.
β¦ Synopsis
A solution of the maximum principle is optimal if it is 'surrounded' by solutions of the maximum principle, or 'embedded in a field of extremals'. An extension of this well-known principle to infinite horizon problems, is stated, and a proof of it is outlined. It is especially useful in non-concave problems, where sufficient conditions based on concavity fail. The usefulness of such an extension is illustrated in two examples.
π SIMILAR VOLUMES
Optimization neural networks have been studied and applied in the literature, and the mechanism of such neural networks has been investigated from the point of view of optimization theory. Yet, no studies have been found by the authors to investigate the mechanism from a control systems' perspective