𝔖 Bobbio Scriptorium
✦   LIBER   ✦

An architecture for adaptive fuzzy control in industrial environments

✍ Scribed by Jérôme Mendes; Rui Araújo; Pedro Sousa; Filipe Apóstolo; Luís Alves

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
916 KB
Volume
62
Category
Article
ISSN
0166-3615

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

An efficient single output fuzzy control
An efficient single output fuzzy control algorithm for adaptive applications
✍ Torben Rottb∅ll Andersen; Søren Beyer Nielsen 📂 Article 📅 1985 🏛 Elsevier Science 🌐 English ⚖ 584 KB

A new, simple, single output .fuzzy control algorithm, developed from an ordinary singleoutput Ji~zzy controller using standard membership Junctions, contains no elements from fuzzy control theory, and, Jor systems with few inputs but many rules, has improved efficiency.

An adaptive neuro-fuzzy tracking control
An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems
✍ S.P. Moustakidis; G.A. Rovithakis; J.B. Theocharis 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 613 KB

An adaptive neuro-fuzzy control design is suggested in this paper, for tracking of nonlinear affine in the control dynamic systems with unknown nonlinearities. The plant is described by a Takagi-Sugeno (T-S) fuzzy model, where the local submodels are realized through nonlinear dynamical input-output