System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Some new results on system identification with dynamic neural networks
IEEE Transactions on Neural Networks
Robust Adaptive Observer Design for Uncertain Systems With Bounded Disturbances
IEEE Transactions on Neural Networks
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Non parametric identifier based on Differential Neural Networks is presented. Nonlinear systems with the a priori information about state constrains are considered. Differential Neural Network Identifier includes a projectional operator as part of its structure in order to keep the state restrictions. Stability Analysis based on Lyapunov-Krasovskii energetic-function lets proof the ultimated boundedness of error estimation. Free parameters stability of DNNI (Adaptive Weights) is also proved. Simulation examples regarding to biotechnological process and the Chua's circuit depict the main advantages of the proposed structure against reported Differential Neural Network with similar structure but without projectional operator.