University of Illinois at Urbana-Champaign
Neural networks and fuzzy logic for structural control
Abstract
dc:description"A new method for the active control of structures is proposed in this study. This method is based on the use of learning capability and adaptivity of neural networks and the high degree of flexibility and adjustability acquired through utilization of fuzzy logic. This method is classified as a ""learning control method"" with emphasis on the important role of the learning capabilities of the controller. However it can be classified as a smart or an intelligent control method too. This method has been called the ""neuro-fuzzy control method"" and its corresponding controller, the ""neuro-fuzzy controller"". Neuro-fuzzy controllers can theoretically cope with any nonlinearity, delay and imperfection in the controlled structure. Hence they can be considered as general controllers for structural purposes."
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Civil Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Joghataie, Abdolreza
- Contributors dc:contributor
-
- Ghaboussi, Jamshid
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- Copyright 1994 Joghataie, Abdolreza
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9522125
(UMI)AAI9522125 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/20549