Identification of continuous systems
Identification of continuous systems
Parameter identification via neural networks with fast convergence
Mathematics and Computers in Simulation - Special issue from the IMACS/IFAC international symposium on soft computing methods and applications: “SOFTCOM '99” (held in Athens, Greece)
Artificial Neural Networks: Concepts and Control Apps
Artificial Neural Networks: Concepts and Control Apps
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
Internal fault detection techniques for power transformers
Applied Soft Computing
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This paper deals with the problem of identification of unknown parameters and time-delay of dynamical systems. A polynomial function is employed to modify the structure of the system and subsequently suitable algorithms for identifying the parameters of time-lag systems are developed using neural networks. Illustrative examples for identification of time-lag systems and quasi-linear systems with lag have been presented.