𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A holonic control system based on a universal learning network

✍ Scribed by Naohiro Kusumi; Kotaro Hirasawa; Masanao Obayashi

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
280 KB
Volume
124
Category
Article
ISSN
0424-7760

No coin nor oath required. For personal study only.

✦ Synopsis

A new control method is presented using the holonic concept on a universal learning network (ULN). The holonic concept was proposed by Arthur Koestler in 1905. Its aim is to harmonize entire systems with partial systems that have hierarchal structures. On the other hand, a ULN that models and controls large-scale complicated systems such as industrial plants and, economic, social, and life phenomena is proposed. In this paper, a holonic control system based on the holonic concept and ULN is presented. From simulation results from a nonlinear crane system, it has been proved that holonic control can harmonize the system rather than optimize it, which used to be the conventional method in control engineering.

πŸ“œ SIMILAR VOLUMES

A genetic algorithm with deterministic m
A genetic algorithm with deterministic mutation based on neural network learning
✍ Minoru Fukumi; Norio Akamatsu πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 189 KB πŸ‘ 1 views

This paper presents a method for designing neural networks using a genetic algorithm (GA) with deterministic mutation (DM) based on learning. The GA presented in this paper has a large framework including DM, which is performed on the basis of the results from neural network learning. It can achieve

Multivariable adaptive control using an
Multivariable adaptive control using an observer based on a recurrent neural network
✍ J. Henriques; A. Dourado πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 364 KB πŸ‘ 2 views

A real-time learning control technique for a general non-linear multivariable process is presented and applied to a laboratory plant. The proposed technique is a hybrid approach, which combines the ability of a recurrent neural network for modelling purposes and a linear pole placement control law t

A nonlinear sliding mode control design
A nonlinear sliding mode control design approach based on neural network modelling
✍ A. I. Bhatti; S. K. Spurgeon; X. Y. Lu πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 255 KB πŸ‘ 2 views

A complete nonlinear framework for the modelling and robust control of nonlinear systems is proposed. The use of neural networks for continuous time modelling to obtain a certain nonlinear canonical form is investigated. The model obtained is used with recently proposed dynamic sliding mode controll