๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A learning approach to the parameter-adaptive self-organizing control problem

โœ Scribed by G.N. Saridis; T.K. Dao


Publisher
Elsevier Science
Year
1972
Tongue
English
Weight
699 KB
Volume
8
Category
Article
ISSN
0005-1098

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A computational approach to the combined
โœ Yacov Y. Haimes; David A. Wismer ๐Ÿ“‚ Article ๐Ÿ“… 1972 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 857 KB

## Analysis of the coupling relationship between system identification and optimization for different classes of problems reveals several approaches for the joint problem formulation and a solution of the static identification-optimization problem via a multilevel optimization technique. Summary--

A robust solution to the admissibility p
โœ Philippe de Larminat; Henri-Francois Raynaud ๐Ÿ“‚ Article ๐Ÿ“… 1988 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 610 KB

This paper deals with adaptive control based on explicit identification. The problem of admissibility of the identified model is solved without requiring persistently exciting inputs. This solution is robust with respect to process variations, unstructured disturbances and model order errors. Finall

A neural network approach to adaptive pr
โœ Adrian Halinka; Pawel Sowa; Michal Szewczyk; Les Sztandera ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 542 KB

Practical successes have been achieved with neural network models in a variety of domains, including energy-related industry. The large, complex design space of electrical ลฝ . power systems EPS is only minimally explored in current practice. The satisfactory results that nevertheless have been obtai