Author : Rolf Isermann
ISBN : 9783540788799
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Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification.
Author : Peter Lindskog
ISBN : 9144127898
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This book contains examples and exercises with modeling problems together with complete solutions. The contents is tailored to the book Ljung-Glad: Modeling and Identification of Dynamic Systems (Studentlitteratur, 2016).
Decomposed Fuzzy Models for Modelling and Identification of Dynamic Systems Marjan Golob University of Maribor , Faculty of Electrical Engineering and Computer Science , Institute of Automation , Laboratory for process Automation ...
Author : Lennart Ljung
ISBN : 0135970970
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Written by a recognized authority in the field of identification and control, this book draws together into a single volume the important aspects of system identification AND physical modelling.
3.6 Conclusion Several off-line identification methods have been presented in this chapter for the estimation of both linear and non-linear static and dynamic system from data affected by noise. Linear, piecewise affine and fuzzy models ...
7 EYKHOFF, P.: 'System identification: parameter and state estimation' (John Wiley, London, 1972) 8 SINHA, N. K. and KUSZTA, B.: 'Modelling and identification of dynamic system'(Van Nostrand, New York, 1983) 9 OGATA, K.: 'Modern control ...
Author : Salman Zaidi
ISBN : 9783737606509
File Size : 74.86 MB
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“Identification of dynamical systems with a robust interval fuzzy model”. Automatica 41(2) (2005), pp. 327–332. I. Skrjanc, S. Blazic, and O. Agamennoni. “Interval Fuzzy Model Identification Using l∞ -Norm”. IEEE Transactions on Fuzzy ...
Author : Lennart Ljung
ISBN : 9144153457
File Size : 61.15 MB
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Mathematical models of real life systems and processes are essential in today's industrial work. To be able to construct such models is therefore a fundamental skill in modern engineering...