Computational intelligence PC tools
Computational intelligence PC tools
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Using the fuzzy-ellipsoid method for robust estimation of the state of a grid system node
Cybernetics and Systems Analysis
A stochastic control model for hierarchical grid service
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Ellipsoidal parameter or state estimation under model uncertainty
Automatica (Journal of IFAC)
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Depending on the problem statement and available information on the system structure and order, three classes of models are discussed: a linear model of state variables with unknown disturbance, a model in input---output variables, and a neural network model that describes nonlinear objects. To estimate the state and to identify the models, intelligent computations are applied: non-static uncertainty is described using fuzzy sets, and genetic algorithms are used for the structural-parametric identification of input---output models.