1 Introduction. - 1. 1 Introduction to Intelligent Control. - 1. 2 References. - 2 Neural Networks. - 2. 1 Historical Review of Neural Networks. - 2. 2 Backpropagation Algorithm. - 2. 3 Conclusions. - 2. 4 References. - 3 Traditional Control Schemes. - 3. 1 Introduction. - 3. 2 Discrete-Time PI and PID Controllers. - 3. 3 Self-Tuning Control. - 3. 4 Self-Tuning PI and PID Controllers. - 3. 5 Self-Tuning PID Control A Multivariable Approach. - 3. 6 Generalized Predictive Control Some Theoretical Aspects. - 3. 7 Fuzzy Logic Control. - 3. 8 Conclusions. - 3. 9 References. - 4 Neuro-Control Techniques. - 4. 1 Introduction. - 4. 2 Overview of Neuro-Control. - 4. 3 Series Neuro-Control Scheme. - 4. 4 Extensions of Series Neuro-Control Scheme. - 4. 5 Parallel Control Scheme. - 4. 6 Feedback Error Learning Algorithm. - 4. 7 Extension of the Parallel Type Neuro-Controller. - 4. 8 Self-Tuning Neuro-Control Scheme. - 4. 9 Self-Tuning PID Neuro-Controller. - 4. 10 Emulator and Controller Neuro-Control Scheme. - 4. 11 Conclusions. - 4. 12 References. - 5 Neuro-Control Applications. - 5. 1 Introduction. - 5. 2 Application of Neuro-Control to a Water-Bath Process and Comparison with Alternative Control Schemes. - 5. 3 Stabilizing an Inverted Pendulum by Neural Networks. - 5. 4 Speed Control of an Electric Vehicle by Self-Tuning PID Neuro-Controller. - 5. 5 MIMO Furnace Control with Neural Networks. - 5. 6 Concluding Remarks. - 5. 7 References. - Program List. Language: English