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Identification of Continuous-Time Systems: Methodology and Computer Implementation

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Signals and Systems 02 Basic Continuous Time Signals

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Continuous systems Identification Of

Skickas inom vardagar. Interest in continuous time approaches to system identification has been growing in recent years. This is evident from the fact that the of invited sessions on continuous time systems has increased from one in the 8th number Symposium that was held in Beijing in to three in the 9th Symposium in Budapest in Mensler and A.

Richard: Continuous-time model identification from sampled data: implementation issues and performance evaluation. Garnier and L. Wang: Identification of continuous-time models from sampled data. Springer-Verlag, London, Gilbberg and L. Ljung: Frequency domain identification of continuous-time output error models, Part I: Uniformly sampled data and frequency function approximation. Automatica, 46 , Ljung: Frequency domain identification of continuous-time output error models, Part II: Non-uniformly sampled data and B-spline output approximation.

Figwer: A new approach to frequency response identification.

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Hansen and S. Snyder: Active control of noise and vibration. Cambridge University Press, Harris: On the use of windows for harmonic analysis with discrete Fourier transform. Harrison, J.


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Partington and J. Ward: Input-output identifability of continuous-time linear systems.

thalagipni.tk Jenkins and D. Watts: Spectral analysis and its applications. Holden-Day, San Francisco, Johansson: System modeling and identification. Johansson: Identification of continuous-time models. Johansson, M. Verhaegen and C. Chou: Stochastic theory of continuous-time statespace identification. Kay: Modern spectral estimation: Theory and applications. Prentice Hall, Englewood Cliffs, KUO and D. Morgan: Active noise control systems.

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Algorithms and DSP implementations. Ljung: System identification - Theory for the user. Prentice Hall, New Jersey, Mahata and H.


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  6. Garnier: Identification of continuous-time errors-invariables models. Automatica, 42 , Marple: Digital spectral analysis with applications. Mitra and F. Kaiser: Handbook for dgital signal processing. Kasprzyk and J. Figwer: Expert system for process identification.