Overview
- Authors:
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Efim N. Rossenwasser
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Department of Automatic Control, St Petersburg State Marine Technical University, St Petersburg, Russia
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Bernhard P. Lampe
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Institute of Automation, University of Rostock, Rostock, Germany
- Authors are well known
- The German version was very well received
- The text is supported by MATLAB routines
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Table of contents (18 chapters)
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Front Matter
Pages i-xviii
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Operational transformations of functions of continuous and discrete arguments
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 3-17
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 19-27
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 29-49
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 51-68
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Linear periodic operators and systems
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 71-85
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 87-107
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 109-124
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 125-142
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Mathematical description of sampled-data systems in continuous time
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Front Matter
Pages 143-143
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 145-175
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 177-201
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 203-228
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 229-254
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Analysis of SD systems in continuous time
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Front Matter
Pages 255-255
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 257-279
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 281-322
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- Efim N. Rossenwasser, Bernhard P. Lampe
Pages 323-342
About this book
Digital elements such as signal processors, microcontrollers or industrial PCs are widely used for filtering and control of continuous-time processes or plants. Because of the serial operation mode of these digital elements the continuous time processes cannot be served continuously. That is why continuous-time and discrete-time signals occur simultaneously in systems of this kind. The continuous (real) time also contains the discrete time instants - therefore, a complete and accurate description of such systems in continuous time is pos sible. However, this description proves to be more complicated, because the hybrid system becomes time-variable, also in cases, where all continuous-time processes and all digital elements are time invariant. Often digital elements operate with a fixed time period T, that leads to a periodically time-variable system. Besides the time sampling the use of analogue to digital and digital to analogue converters together with the finite numerical precision of the processors also results in amplitude quantization of the measuring and control signals. Taking into account these effects would lead to nonlinear models. Because these effects are often of minor influence but difficult in handling, in theory and practice it is generally accepted to consider mainly the pure time-quantization effect. Systems containing both continuous-time and discrete-time signals are usually called sampled-data systems (SD systems).
Reviews
“This volume will be a useful source on sampled-data systems for engineers, students and control scientists.” (A.Akutowicz, zbMATH 0946.93003, 2022)
Authors and Affiliations
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Department of Automatic Control, St Petersburg State Marine Technical University, St Petersburg, Russia
Efim N. Rossenwasser
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Institute of Automation, University of Rostock, Rostock, Germany
Bernhard P. Lampe