Positive 1D and 2D Systems:
In the last decade a dynamic development in positive systems has been observed. Roughly speaking, positive systems are systems whose inputs, state variables and outputs take only nonnegative values. Examples of positive systems are industrial processes involving chemical reactors, heat exchangers an...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London
Springer London
2002
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| Series: | Communications and Control Engineering
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| Subjects: | |
| Online Access: | FHI01 BTU01 Volltext |
| Summary: | In the last decade a dynamic development in positive systems has been observed. Roughly speaking, positive systems are systems whose inputs, state variables and outputs take only nonnegative values. Examples of positive systems are industrial processes involving chemical reactors, heat exchangers and distillation columns, storage systems, compartmental systems, water and atmospheric pollution models. A variety of models having positive linear system behaviour can be found in engineering, management science, economics, social sciences, biology and medicine, etc. The basic mathematical tools for analysis and synthesis of linear systems are linear spaces and the theory of linear operators. Positive linear systems are defined on cones and not on linear spaces. This is why the theory of positive systems is more complicated and less advanced. The theory of positive systems has some elements in common with theories of linear and non-linear systems. Schematically the relationship between the theories of linear, non-linear and positive systems is shown in the following figure Figure 1 |
| Physical Description: | 1 Online-Ressource (XIII, 431 p) |
| ISBN: | 9781447102212 |
| DOI: | 10.1007/978-1-4471-0221-2 |
Staff View
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| 520 | |a In the last decade a dynamic development in positive systems has been observed. Roughly speaking, positive systems are systems whose inputs, state variables and outputs take only nonnegative values. Examples of positive systems are industrial processes involving chemical reactors, heat exchangers and distillation columns, storage systems, compartmental systems, water and atmospheric pollution models. A variety of models having positive linear system behaviour can be found in engineering, management science, economics, social sciences, biology and medicine, etc. The basic mathematical tools for analysis and synthesis of linear systems are linear spaces and the theory of linear operators. Positive linear systems are defined on cones and not on linear spaces. This is why the theory of positive systems is more complicated and less advanced. The theory of positive systems has some elements in common with theories of linear and non-linear systems. Schematically the relationship between the theories of linear, non-linear and positive systems is shown in the following figure Figure 1 | ||
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| isbn | 9781447102212 |
| language | English |
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| spelling | Kaczorek, Tadeusz Verfasser aut Positive 1D and 2D Systems by Tadeusz Kaczorek London Springer London 2002 1 Online-Ressource (XIII, 431 p) txt rdacontent c rdamedia cr rdacarrier Communications and Control Engineering In the last decade a dynamic development in positive systems has been observed. Roughly speaking, positive systems are systems whose inputs, state variables and outputs take only nonnegative values. Examples of positive systems are industrial processes involving chemical reactors, heat exchangers and distillation columns, storage systems, compartmental systems, water and atmospheric pollution models. A variety of models having positive linear system behaviour can be found in engineering, management science, economics, social sciences, biology and medicine, etc. The basic mathematical tools for analysis and synthesis of linear systems are linear spaces and the theory of linear operators. Positive linear systems are defined on cones and not on linear spaces. This is why the theory of positive systems is more complicated and less advanced. The theory of positive systems has some elements in common with theories of linear and non-linear systems. Schematically the relationship between the theories of linear, non-linear and positive systems is shown in the following figure Figure 1 Computer Science Computer Communication Networks Control Systems Theory, Control Computer science Computer communication systems System theory Control engineering Lineares zeitinvariantes System (DE-588)4213494-8 gnd rswk-swf Nichtnegative Matrix (DE-588)4310434-4 gnd rswk-swf Lineares zeitinvariantes System (DE-588)4213494-8 s Nichtnegative Matrix (DE-588)4310434-4 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781447110972 https://doi.org/10.1007/978-1-4471-0221-2 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kaczorek, Tadeusz Positive 1D and 2D Systems Computer Science Computer Communication Networks Control Systems Theory, Control Computer science Computer communication systems System theory Control engineering Lineares zeitinvariantes System (DE-588)4213494-8 gnd Nichtnegative Matrix (DE-588)4310434-4 gnd |
| subject_GND | (DE-588)4213494-8 (DE-588)4310434-4 |
| title | Positive 1D and 2D Systems |
| title_auth | Positive 1D and 2D Systems |
| title_exact_search | Positive 1D and 2D Systems |
| title_full | Positive 1D and 2D Systems by Tadeusz Kaczorek |
| title_fullStr | Positive 1D and 2D Systems by Tadeusz Kaczorek |
| title_full_unstemmed | Positive 1D and 2D Systems by Tadeusz Kaczorek |
| title_short | Positive 1D and 2D Systems |
| title_sort | positive 1d and 2d systems |
| topic | Computer Science Computer Communication Networks Control Systems Theory, Control Computer science Computer communication systems System theory Control engineering Lineares zeitinvariantes System (DE-588)4213494-8 gnd Nichtnegative Matrix (DE-588)4310434-4 gnd |
| topic_facet | Computer Science Computer Communication Networks Control Systems Theory, Control Computer science Computer communication systems System theory Control engineering Lineares zeitinvariantes System Nichtnegative Matrix |
| url | https://doi.org/10.1007/978-1-4471-0221-2 |
| work_keys_str_mv | AT kaczorektadeusz positive1dand2dsystems |