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Basic Properties of Multivariable Feedback Systems

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Robust Control Systems
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Abstract

As we have seen in Chap. 2, the linearized model of the plant consists of a system of linear differential equations for its physical states. The inputs of the plant are the control u and the disturbance d and output is the variable to be controlled y, which is also the measurement. In classical control theory, the differential equations are used to calculate the transfer functions and the controller makes use only of the output variable. The states are no longer present and consequently they are not fed back.

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Notes and References

  1. Luenberger, D. G.: Observing the state of a linear system, IEEE Trans. Military Electronics, 8, pp. 74–80, 1964.

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  3. Wonham, W. M.: On pole assignment in multi-input controllable linear systems, IEEE Trans. Autom. Control, 12, pp. 660–665, 1967.

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  4. Kautsky, J., Nichols, N. K. and Van Dooren, P.: Robust pole assignment in linear state feedback, Int. J. Control, 41,1129–1155,1985.

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  5. Zhou, K., Doyle, J. and Glover, K.: Robust and Optimal Control, Prentice Hall, Englewood Cliffs, New Yersey, 1995.

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© 2004 Springer-Verlag Berlin Heidelberg

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Mackenroth, U. (2004). Basic Properties of Multivariable Feedback Systems. In: Robust Control Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-09775-5_6

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  • DOI: https://doi.org/10.1007/978-3-662-09775-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05891-2

  • Online ISBN: 978-3-662-09775-5

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