In this paper, we firstly analyze system structures and working principles and functions of user management and controlling system. Secondly, we research some key technologies of network controlling deeply, such as packet filtering technology and content filtering technology. Finally, we design and implement the management and controlling software system of network controller and test it.
In this work, we implemented a new 1-cycle pipeline microprocessor and a fast Ethernet transceiver and established a low cost, high performance embedded network controller, and designed a TCP/IP stack to access the Internet.
A neural network model and fuzzy neural network controller was designed to control the inner impedance of a proton exchange membrane fuel cell (PEMFC) stack.
A fuzzy neural network controller was designed to control the impedance response.
The RBF neural network model was used to test the fuzzy neural network controller.
An adaptive neural network controller is developed to achieve output-tracking of a class of nonlinear systems.