𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A fuzzy rule-based iterative learning control method with application to hydroforming processes

✍ Scribed by Hee J. Park; Hyung S. Cho

Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
751 KB
Volume
2
Category
Article
ISSN
0957-4158

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

MOGUL: A methodology to obtain genetic f
MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach
✍ O. CordΓ³n; M. J. del Jesus; F. Herrera; M. Lozano πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 219 KB πŸ‘ 1 views

main aim of this paper is to present MOGUL, a Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach. MOGUL will consist of some design guidelines that allow us to obtain different genetic fuzzy rule-based systems, i.e., evolutionary algorithm-based process

LMI-based stability analysis of linear h
LMI-based stability analysis of linear hybrid systems with application to switched control of a refrigeration process
✍ Chaohong Cai; Stevo Mijanovic πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 245 KB πŸ‘ 1 views

## Abstract We consider continuous‐time switched linear systems associated with linear state reset during mode switches, which are called linear hybrid systems and can be commonly found in switched control systems via bumpless transfer during controller switches. We use a multiple Lyapunov function