Adaptive Control and Neural Networks

1. Introduction and Fundamentals
   1. Definitions of Adaptive Systems
   2. Model Reference Adaptive Control (MRAC) and Self Tuning Regulators (STR)
   3. Stable Adaptive Systems.
   4. Simple Adaptive Systems
   5. Adaptive Observers
   6. Stabilization, Regulation, and Tracking of Nonlinear Systems
   7. Persistent Excitation
   8. Robust Adaptive Control
2. Aritifical Neural Networks
   1. Introduction to Artificial Neural Networks (ANN)
   2. Approximation Using ANN
   3. ANN as pattern recognizers and elements of dynamical systems
3. Nonlinear Systems
   1. Identification and control of nonlinear dynamical systems
   2. The NARMA model and the NARMAX model
   3. Stabilization, Regulation, and Tracking of Nonlinear Systems
   4. Robustness issues
   5. Control of multi-input-multi-output systems
4. Further Topics
   1. Time-invariant Systems
   2. Slowly Varying Systems
   3. New formulation of the adaptive control problem with multiple environments
   4. Stability issues
   5. Second level adaptation