Abstract
The controllers treated in the preceding chapters were designed for deterministic disturbances, that means for signals which are exactly known a priori and can be described analytically. Real disturbances, however, are mostly stochastic signals which cannot be exactly described nor predicted. The deterministic signals used for the design of control systems are often ‘proxies’ of real signals. These proxies have simple shapes to reduce the design complexity and to allow for easy interpretation of the control system output. The resulting control systems are then optimal only for the chosen proxy signal and the applied criterion. For all other signals the control system is sub-optimal; however, this is not very important in most cases. If the demands on the control performance increase, the controllers must be matched not only to the dynamic behaviour of the processes but also to the disturbances. To this the theory of stochastic signals has much to contribute.
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© 1981 Springer-Verlag Berlin Heidelberg
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Isermann, R. (1981). Stochastic Control Systems. In: Digital Control Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02319-8_12
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DOI: https://doi.org/10.1007/978-3-662-02319-8_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-02321-1
Online ISBN: 978-3-662-02319-8
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