1. Neural Networks. - 1. 1 Introduction. - 1. 2 Model of a Neuron. - 1. 3 Architectures of Neural Networks. - 1. 4 Various Neural Networks. - 1. 5 Learning and Approximation. - 1. 6 Applications of Neural Networks. - 1. 7 Mathematical Preliminaries. - 1. 8 Summary. - 2. Sequential Nonlinear Identification. - 2. 1 Introduction. - 2. 2 Variable Neural Networks. - 2. 3 Dynamical System Modelling by Neural Networks. - 2. 4 Stable Nonlinear Identification. - 2. 5 Sequential Nonlinear Identification. - 2. 6 Sequential Identification of Multivariable Systems. - 2. 7 An Example. - 2. 8 Summary. - 3. Recursive Nonlinear Identification. - 3. 1 Introduction. - 3. 2 Nonlinear Modelling by VPBF Networks. - 3. 3 Structure Selection of Neural Networks. - 3. 4 Recursive Learning of Neural Networks. - 3. 5 Examples. - 3. 6 Summary. - 4. Multiobjective Nonlinear Identification. - 4. 1 Introduction. - 4. 2 Multiobjective Modelling with Neural Networks. - 4. 3 Model Selection by Genetic Algorithms. - 4. 4 Multiobjective Identification Algorithm. - 4. 5 Examples. - 4. 6 Summary. - 5. Wavelet Based Nonlinear Identification. - 5. 1 Introduction. - 5. 2 Wavelet Networks. - 5. 3 Identification Using Fixed Wavelet Networks. - 5. 4 Identification Using Variable Wavelet Networks. - 5. 5 Identification Using B-spline Wavelets. - 5. 6 An Example. - 5. 7 Summary. - 6. Nonlinear Adaptive Neural Control. - 6. 1 Introduction. - 6. 2 Adaptive Control. - 6. 3 Adaptive Neural Control. - 6. 4 Adaptation Algorithm with Variable Networks. - 6. 5 Examples. - 6. 6 Summary. - 7. Nonlinear Predictive Neural Control. - 7. 1 Introduction. - 7. 2 Predictive Control. - 7. 3 Nonlinear Neural Predictors. - 7. 4 Predictive Neural Control. - 7. 5 On-line Learning of Neural Predictors. - 7. 6 Sequential Predictive Neural Control. - 7. 7 An Example. - 7. 8 Summary. - 8. Variable Structure Neural Control. - 8. 1 Introduction. - 8. 2 Variable Structure Control. - 8. 3 Variable Structure Neural Control. - 8. 4 Generalised Variable Structure Neural Control. - 8. 5 Recursive Learning for Variable Structure Control. - 8. 6 An Example. - 8. 7 Summary. - 9. Neural Control Application to Combustion Processes. - 9. 1 Introduction. - 9. 2 Model of Combustion Dynamics. - 9. 3 Neural Network Based Mode Observer. - 9. 4 Output Predictor and Controller. - 9. 5 Active Control of a Simulated Combustor. - 9. 6 Active Control of an Experimental Combustor. - 9. 7 Summary. Language: English