Fuzzy neural network control for nonlinear networked control system
- Resource Type
- Conference
- Authors
- Da-zhi, E.; Pan, Feng; Chen, Da-li; Xue, Ding-yu
- Source
- 2009 Chinese Control and Decision Conference Control and Decision Conference, 2009. CCDC '09. Chinese. :1569-1573 Jun, 2009
- Subject
- Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Fuzzy neural networks
Fuzzy control
Nonlinear control systems
Control systems
Networked control systems
Uncertainty
Mathematical model
Nonlinear systems
Communication system control
Springs
FNN
Networked Control System
Nonlinear System
TPCS Model
- Language
- ISSN
- 1948-9439
1948-9447
A nonlinear networked control system based on FNN (fuzzy neural network) control which is used to solve uncertainty problems was proposed in view of that the nonlinear systems are often involved in uncertainties, complex architecture and difficulty in modeling and simulating under network conditions. Based on the Matlab/Simulink modularized TPCS (two inverted pendulums coupled by a spring) modeling in combination with the TrueTime communication network, the uncertainties due to the object to be modeled and the network-induced time delays were both processed synthetically by a FNN controller we designed. The simulation results showed that the proposed method not only reduces the complexity of nonlinear system modeling but also restrains the performance effect of control system that induced by uncertainties of nonlinear networked control system efficiently, and represents pretty robust.