
Algebraic Identification and Estimation Methods in Feedback Control Systems
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Algebraic Identification and Estimation Methods in FeedbackControl Systems presents a model-based algebraic approach toonline parameter and state estimation in uncertain dynamic feedbackcontrol systems. This approach evades the mathematical intricaciesof the traditional stochastic approach, proposing a directmodel-based scheme with several easy-to-implement computationaladvantages. The approach can be used with continuous and discrete,linear and nonlinear, mono-variable and multi-variable systems. Theestimators based on this approach are not of asymptotic nature, anddo not require any statisti...
Algebraic Identification and Estimation Methods in FeedbackControl Systems presents a model-based algebraic approach toonline parameter and state estimation in uncertain dynamic feedbackcontrol systems. This approach evades the mathematical intricaciesof the traditional stochastic approach, proposing a directmodel-based scheme with several easy-to-implement computationaladvantages. The approach can be used with continuous and discrete,linear and nonlinear, mono-variable and multi-variable systems. Theestimators based on this approach are not of asymptotic nature, anddo not require any statistical knowledge of the corrupting noisesto achieve good performance in a noisy environment. Theseestimators are fast, robust to structured perturbations, and easyto combine with classical or sophisticated control laws.
This book uses module theory, differential algebra, andoperational calculus in an easy-to-understand manner and alsodetails how to apply these in the context of feedback controlsystems. A wide variety of examples, including mechanical systems,power converters, electric motors, and chaotic systems, are alsoincluded to illustrate the algebraic methodology.
Key features:
Presents a radically new approach to online parameter and stateestimation.
Enables the reader to master the use and understand theconsequences of the highly theoretical differential algebraicviewpoint in control systems theory.
Includes examples in a variety of physical applications withexperimental results.
Covers the latest developments and applications.
Algebraic Identification and Estimation Methods in FeedbackControl Systems is a comprehensive reference for researchersand practitioners working in the area of automatic control, and isalso a useful source of information for graduate and undergraduatestudents.
This book uses module theory, differential algebra, andoperational calculus in an easy-to-understand manner and alsodetails how to apply these in the context of feedback controlsystems. A wide variety of examples, including mechanical systems,power converters, electric motors, and chaotic systems, are alsoincluded to illustrate the algebraic methodology.
Key features:
Presents a radically new approach to online parameter and stateestimation.
Enables the reader to master the use and understand theconsequences of the highly theoretical differential algebraicviewpoint in control systems theory.
Includes examples in a variety of physical applications withexperimental results.
Covers the latest developments and applications.
Algebraic Identification and Estimation Methods in FeedbackControl Systems is a comprehensive reference for researchersand practitioners working in the area of automatic control, and isalso a useful source of information for graduate and undergraduatestudents.