1. Introduction.- 1.1 General Overview.- 1.2 Book Goals & Outline.- 1.3 Notation.- 2. Identification of Dynamical Systems Using Recurrent High-order Neural Networks.- 2.1 The RHONN Model.- 2.2 Learning Algorithms.- 2.3 Robust Learning Algorithms.- 2.4 Simulation Results.- Summary.- 3. Indirect Adaptive Control.- 3.1 Identification.- 3.2 Indirect Control.- 3.3 Test Case: Speed Control of DC Motors.- Summary.- 4. Direct Adaptive Control.- 4.1 Adaptive Regulation - Complete Matching.- 4.2 Robustness Analysis.- 4.3 Modeling Errors with Unknown Coefficients.- 4.4 Tracking Problems.- 4.5 Extension to General Affine Systems.- Summary.- 5. Manufacturing Systems Scheduling.- 5.1 Problem Formulation.- 5.2 Continuous-time Control Law.- 5.3 Real-time Scheduling.- 5.4 Simulation Results.- Summary.- 6. Scheduling using RHONNs: A Test Case.- 6.1 Test Case Description.- 6.2 Results & Comparisons.- Summary.- References.