Neural Network Engineering in Dynamic Control Systems

1 Neural Approximation: A Control Perspective. - 2 Dynamic Systems in Neural Networks. - 3 Adaptive Neurocontrol of a Certain Class of MIMO Discrete-time Processes Based on Stability Theory. - 4 Local Model Architectures for Nonlinear Modelling and Control. - 5 On ASMOD An Algorithm for Empirical Modelling using Spline Functions. - 6 Semi-Empirical Modeling of Non-linear Dynamic Systems through Identification of Operating Regimes and Local Models. - 7 On Interpolating Memories for Learning Control. - 8 Construction and Design of Parsimonious Neurofuzzy Systems. - 9 Fast Gradient Based Off-line Training of Multilayer Perceptrons. - 10 Kohonen Network as a Classifier and Predictor for the Qualification of Metal-Oxide Surfaces. - 11 Analysis and Classification of Energy Requirement Situations Using Kohonen Feature Maps within a Forecasting System. - 12 A Radial Basis Function Network Model for Adaptive Control of Drying Oven Temperature. - 13 Hierarchical Competitive Net Architecture. Language: English