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Robust Sliding Mode Control For Nonlinear Discrete Time ...
the control of complex nonlinear systems have shown great results over past few years. now it is an established fact that unknown nonlinear functions can be approximated from neural network . neural network appears a p o werful tool for nonlinear control problems 18 20. in 21 the smc have been used for control of uncertain
Decentralized Discrete Time Neural Network Controller For ...
operations research systems engineering and industrial engineering commons recommended citation j. sarangapani decentralized discrete time neural network controller for a class of nonlinear systems with unknown interconnections proceedings of the 2005 ieee international symposium on mediterrean conference on control and automation
Ieee Transactions On Neural Networks And Learning Systems ...
51 employed a model network based on recurrent neural network structure to reconstruct the unknown system dynamics for nonlinear systems. motivated by the research presented in 23 32 34 and 51 we are interested in the problem of stability analysis for a class of unknown discrete time nonlinear systems with
90 Ieee Transactions On Neural Networks Vol. 19 No. 1 ...
based neural network control of afne nonlinear discrete time systems zheng chen student member ieee and sarangapani jagannathan senior member ieee abstractin this paper we consider the use of nonlinear net works towards obtaining nearly optimal solutions to the control of nonlinear discrete time dt systems. the method is based on
Stable Adaptive Neural Network Control Of Mimo Nonaffine ...
afne nonlinear discrete time systems. direct adaptive neural network control was presented in 8 for a class of mimo narmax systems in afne form. in 9 multivariable neuro adaptive variable structure control was developed for a very special class of mimo nonlinear discrete time systems in which the output signals were not included in the
Stabilization Of Unknown Nonlinear Discrete Time Delay ...
tain discrete time state delayed systems is proposed in 15. for continuous time delay nonlinear systems the work on adaptive neural network control with unknown time delays is reported in 16. adaptive neural control of nonlinear time delay systems with unknown virtual con trol coefficients is proposed in 17. in 18 work is pre
A Neural Network Based Iterative Gdhp Approach For Solving ...
abstract in this paper a novel neural network based iterative adaptive dynamic programming adp algorithm is proposed. it aims at solving the optimal control problem of a class of nonlinear discrete time systems with control constraints. by introducing a generalized nonquadratic functional the iterative adp algorithm through globalized
A Novel Stabilizing Control For Neural Nonlinear Systems ...
some neural network control systems. ref. 13 16 illustrate that these neural network models and neural network control systems are special examples of 2. firstly we will analyze the stability of the snnm 2 at the equilibrium point on which the inputs and outputs can be set to the zero vectors of appropriate dimensions.
