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This paper focuses on the problem of decentralized event-triggered control for a class of interconnected time delay stochastic nonlinear systems with unmodeled dynamics. In order to ensure that the outputs of systems satisfie the prescribed performance, a funnel performance variable is introduced. By using neural network approximation theory and backstepping method, the controller and its event triggered...
This paper presents a sum-of-product neural network (SOPNN) structure. The SOPNN can learn to implement static mapping that multilayer neural networks and radial basis function networks normally perform. The output of the neural network has the sum-of-product form Npi=1Nvj=1 f ij (x j ), where x j 's are inputs, N ...
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