This book brings adaptive control out of the realm of theory, describing tools for controlling nonlinear processes. The text presents the open-loop gain scheduling method, which is flexible, easy to use, and well-suited to many processes. Later chapters cover closed-loop (self-tuning) methods for startups or other demanding applications. The pros and cons of all methods are discussed, with guidelines for selection and an emphasis on practical problem-solving. Techniques are studied in terms of their robustness and ease of application for practicing engineers. The authors compare the auto-tuning and self-tuning features of many industrial controllers. (Volume in ILM Series). Contents: What Is Adaptive Control? Structure of a Self-Tuning Controller Relay Feedback Auto-Tuning for PID Controllers Techniques for Self-Tuning PID Controllers Adaptive Smith Predictor Control On-Line Discrete Parameter Selection Adaptive Advanced Control Adaptive Multivariable Control Towards Intelligent Control.