Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
