to Adaptive Control. - Adaptive Control - Why?. - Adaptive Control Versus Conventional Feedback Control. - Basic Adaptive Control Schemes. - Examples. - A Brief Historical Note. - Concluding Remarks. - Discrete Time System Models for Control. - Deterministic Environment. - Stochastic Environment. - Concluding Remarks. - Problems. - Parameter Adaptation Algorithms - Deterministic Environment. - The Problem. - PAA - Examples. - Stability of Parameter Adaptation Algorithms. - Parametric Convergence. - Concluding Remarks. - Problems. - Parameter Adaptation Algorithms - Stochastic Environment. - Effect of Stochastic Disturbances. - The Averaging Method. - The Martingale Approach. - The Frequency Domain Approach. - Concluding Remarks. - Problems. - Recursive Plant Model Identification in Open Loop. - Recursive Identification in the Context of System Identification. - Structure of Recursive Parameter Estimation Algorithms. - Identification Methods (Type I). - Validation of the Models Identified with Type I Methods. - Identification Methods (Type II). - Validation of the Models Identified with Type II Methods. - Selection of the Pseudo Random Binary Sequence. - Model Order Selection. - An Example: Identification of a Flexible Transmission. - Concluding Remarks. - Problems. - Adaptive Prediction. - The Problem. - Adaptive Prediction - Deterministic Case. - Adaptive Prediction - Stochastic Case. - Concluding Remarks. - Problems. - Digital Control Strategies. - Canonical Form for Digital Controllers. - Pole Placement. - Tracking and Regulation with Independent Objectives. - Tracking and Regulation with Weighted Input. - Minimum Variance Tracking and Regulation. - Generalized Predictive Control. - Linear Quadratic Control. - Concluding Remarks. - Problems. - Robust Digital Control Design. - The Robustness Problem. - The Sensitivity Functions. - Robust Stability. - Definition of Templates for the Sensitivity Functions. - Properties of the Sensitivity Functions. - Shaping the Sensitivity Functions. - Example: Robust Digital Control of a Flexible Transmission. - Concluding Remarks. - Problems. - Recursive Plant Model Identification in Closed Loop. - The Problem. - Closed Loop Output Error Algorithms. - Filtered Open Loop Recursive Identification Algorithms. - Frequency Distribution of the Asymptotic Bias in Closed Loop Identification. - Validation of Models Identified in Closed Loop. - Comparative Evaluation of the Various Algorithms. - Concluding Remarks. - Problems. - Robust Parameter Estimation. - The Problem. - Input/Output Data Filtering. - Effect of Disturbances. - PAA with Dead Zone. - PAA with Projection. - Data Normalization. - A Robust Parameter Estimation Scheme. - Concluding Remarks. - Problems. - Direct Adaptive Control. - Adaptive Tracking and Regulation with Independent Objectives. - Adaptive Tracking and Regulation with Weighted Input. - Adaptive Minimum Variance Tracking and Regulation. - Adaptive Generalized Minimum Variance Control. - Robust Direct Adaptive Control. - An example. - Concluding Remarks. - Problems. - Indirect Adaptive Control. - Adaptive Pole Placement. - Robust Indirect Adaptive Control. - Adaptive Generalized Predictive Control. - Adaptive Linear Quadratic Control. - Iterative Identification in Closed Loop and Controller Redesign. - An Example. - Concluding Remarks. - Practical Aspects and Applications. - The Digital Control System. - The Parameter Adaptation Algorithm. - Adaptive Control Algorithms. - Initialization of Adaptive Control Schemes. - Supervision. - Iterative Identification in Closed Loop and Controller Redesign. - Adaptive Tracking and Robust Regulation. - Indirect Adaptive Control. - ConcludingRemarks. - A Perspective View and Further Reading. - Stochastic Processes. - Stability. - Passive (Hyperstable) Systems. - Passive (Hyperstable) Systems. - Passivity - Some Definitions. - Discrete Linear Time-Invariant Passive Systems. - Discrete Linear Time-Varying Passive Systems. - Stability of Feedback Interconnected Systems. - Hyperstability and Small Gain. - Martingales. Language: English