𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A robust self-learning PID control system design for nonlinear systems using a particle swarm optimization algorithm

✍ Scribed by Chih-Min Lin; Ming-Chia Li; Ang-Bung Ting; Ming-Hung Lin


Publisher
Springer-Verlag
Year
2011
Tongue
English
Weight
757 KB
Volume
2
Category
Article
ISSN
1868-8071

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


A fuzzy controller design for nuclear re
✍ Ramazan Coban πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 670 KB

In this paper, a closed-loop fuzzy logic controller based on the particle swarm optimization algorithm is proposed for controlling the power level of nuclear research reactors. The principle of the fuzzy logic controller is based on the rules constructed from numerical experiments made by means of a

Robustness and convergence rate of a dis
✍ Samer S. Saab πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 127 KB πŸ‘ 2 views

In this paper, we apply a discrete-time learning algorithm to a class of discrete-time varying nonlinear systems with a$ne input action and linear output having relative degree one. We investigate the robustness of the algorithm to state disturbance, measurement noise and reinitialization errors. We