𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Non-linear system identification and control based on neural and self-tuning control

✍ Scribed by A. Abdulaziz; M. Farsi


Publisher
John Wiley and Sons
Year
1993
Tongue
English
Weight
480 KB
Volume
7
Category
Article
ISSN
0890-6327

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Non-linear systems with control and stat
✍ Ping Lu πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 227 KB πŸ‘ 2 views

The tracking control problem for a class of non-linear systems with control and state constraints is considered. A predictive control approach is used to derive the constrained optimal control law. The unique structure of the controller allows a parameter to be continuously tuned on-line via the sol

A new control strategy for induction mot
✍ M. K. Maaziz; P. Boucher; D. Dumur πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 263 KB πŸ‘ 2 views

Proposed in this paper is a new approach of design using a monovariable generalized predictive control law, with multiple reference model (GPC/MRM) to control, "rstly, rotor speed and rotor #ux amplitude of an induction machine. The control law will be extended and applied, secondly, to answer a sec

A self-learning and tuning fuzzy logic c
✍ Hung-Yuan Chung; Chih-Kuan Chiang πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 237 KB πŸ‘ 1 views

This article presents a new method for learning and tuning a fuzzy logic controller automatically. A reinforcement learning and a genetic algorithm are used in conjunction with a multilayer neural network model of a fuzzy logic controller, which can automatically generate the fuzzy control rules and