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Part of the book series: Advances in Industrial Control ((AIC))

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Abstract

It is well known that control for stochastic systems has been an important subject of research over the past decades. This is because a majority of industrial processes exhibit stochastic behaviour. As a result, many approaches have been developed and widely used successfully in real applications. Successful and most representative examples are minimum variance control ([2, 3]), selftuning control ([4, 14, 47]), stochastic linear quadratic control ([1, 17]) and jumping parameter systems ([12]).

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© 2000 Springer-Verlag London

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Wang, H. (2000). Preliminaries. In: Bounded Dynamic Stochastic Systems. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-0481-0_1

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  • DOI: https://doi.org/10.1007/978-1-4471-0481-0_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1151-1

  • Online ISBN: 978-1-4471-0481-0

  • eBook Packages: Springer Book Archive

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