Title :
Synchronization control of networked neural network systems
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
The design problem of synchronization control for a class of networked neural network systems is considered in this paper. In many applications, the distribution probabilities of QoS in the communication networks can be achieved through statistical methods. We reconsider the model of communication channels, and translate the distribution probability of QoS in the networks into parameter matrices of the transferred networked synchronization model. The control design method is given. A numerical example is provided to show the potentials of the proposed method.
Keywords :
control system synthesis; control systems; neurocontrollers; quality of service; statistical distributions; synchronisation; QoS; control design method; distribution probabilities; networked neural network systems; statistical methods; synchronization control; Artificial neural networks; Electronic mail; Numerical models; Probability; Quality of service; Synchronization; Delay; Frame Losses; Networked; Neural Networks; Synchronization;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6