System Identification and Adaptive Control
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Beschreibung
This book offers comprehensive coverage of identification and adaptive control while familiarizing graduate students and practicing engineers with computational software tools such as MATLAB and SIMULINK and describing the underlying theoretical concepts. Identification is the process of mathematically modeling a system based on measurement data that may be limited or uncertain. Adaptive control is the means whereby a system that is poorly modeled is controlled adequately. Therefore the topical coverage is divided into two parts: Part I describes fundamental topics of system identification independent of adaptive control and discusses nonparametric and parameteric estimation methods while emphasizing least squares techniques instrumental variables and prediction error methods. Part II describes various methods of adaptive control in which the materials discussed in Part I are essential for control purposes, including model reference, adaptive control and self-tuning regulators.
Learning process fully covered which allows students to simulate own system identification and adaptive control systems
Simplified theoretical concepts of system identification and adaptive control presenting them as separate distinct units
Integrates MATLAB and SIMULINK throughout the text so that readers see underlying calculations that drive the solutions
Autor*in
Bahram Shafai
Themen in »System Identification and Adaptive Control«
Adaptive Control Adaptive Observer Least Square Methods MATLAB Robust Adaptive Control System Identification