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System Identification: An Introduction (Advanced Textbooks In Control And Signal Processing),Used
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System Identification shows the student reader how to approach the system identification problem in a systematic fashion. The process is divided into three basic steps: experimental design and data collection; model structure selection and parameter estimation; and model validation, each of which is the subject of one or more parts of the text.Following an introduction on system theory, particularly in relation to model representation and model properties, the book contains four parts covering: databased identification nonparametric methods for use when prior system knowledge is very limited; timeinvariant identification for systems with constant parameters; timevarying systems identification, primarily with recursive estimation techniques; and model validation methods.A fifth part, composed of appendices, covers the various aspects of the underlying mathematics needed to begin using the text.The book uses essentially semiphysical or graybox modeling methods although databased, transferfunction system descriptions are also introduced. The approach is problembased rather than rigorously mathematical. The use of finite inputoutput data is demonstrated for frequency and timedomain identification in static, dynamic, linear, nonlinear, timeinvariant and timevarying systems. Simple examples are used to show readers how to perform and emulate the identification steps involved in various control design methods with more complex illustrations derived from real physical, chemical and biological applications being used to demonstrate the practical applicability of the methods described. Endofchapter exercises (for which a downloadable instructors Solutions Manual is available from fill in URL here) will both help students to assimilate what they have learned and make the book suitable for selftuition by practitioners looking to brush up on modern techniques.Graduate and finalyear undergraduate students will find this text to be a practical and realistic course in system identification that can be used for assessing the processes of a variety of engineering disciplines. System Identification will help academic instructors teaching controlrelated to give their students a good understanding of identification methods that can be used in the real world without the encumbrance of undue mathematical detail.
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