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Titlebook: Digital Control Systems; Volume 2: Stochastic Rolf Isermann Textbook 1991Latest edition Springer-Verlag Berlin Heidelberg 1991 Markov.Regel

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Textbook 1991Latest editionrmine the present development of automation. The application of digital techniques to process automation started in about 1960, when the first process computer was installed. From about 1970 process computers with cathodic ray tube display have become standard equipment for larger automation systems
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https://doi.org/10.1007/978-3-031-41981-2efly treated first, followed by the derivation of the Kaiman filter explaining in several steps the principle of estimation for both, the scalar and vector cases. State representation allows a direct consideration of multivariable processes.
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State Estimationefly treated first, followed by the derivation of the Kaiman filter explaining in several steps the principle of estimation for both, the scalar and vector cases. State representation allows a direct consideration of multivariable processes.
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Stochastic Control Systems (Introduction) 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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