Published June 12, 2008
| Version v1
Journal article
Fuzzy neural order robust of the non-linear systems
Creators
- 1. University Farhat, Abbas-Setif Algeria Laboratory LSI, Laboratory of the Systems Intelligents (Algeria)
Description
This article introduces a controller at structure of a network multi-layer neurons specified by the fuzzy reasoning of Takagi-Sugeno (TS) order one, the weights of the network represent the standard deviations of the membership function. This controller is applied to the ordering of a reversed pendulum. Changes in the entries and the exit, as of the environment changes of operation are introduced in order to test the robustness of the designed controller
Additional details
Identifiers
- DOI
- 10.1063/1.2953037;
Publishing Information
- Journal Title
- AIP Conference Proceedings
- Journal Volume
- 1019
- Journal Issue
- 1
- Journal Page Range
- p. 520-525
- ISSN
- 0094-243X
- CODEN
- APCPCS
Conference
- Title
- 1. Mediterranean conference on intelligent systems and automation
- Acronym
- CISA 08
- Dates
- 30 Jun - 2 Jul 2008
- Place
- Annaba (Algeria)
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 40023478
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CONTROL; FUZZY LOGIC; NERVE CELLS; NEURAL NETWORKS; NONLINEAR PROBLEMS; OPERATION
- Descriptors DEC
- ANIMAL CELLS; MATHEMATICAL LOGIC; SOMATIC CELLS
Optional Information
- Notes
- (c) 2008 American Institute of Physics