Optimal Measurement Methods for Distributed Parameter System Identification - Dariusz Ucinski
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For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. This book discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of origina ... Pilns apraksts
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Aprašymas
For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. This book discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of original solutions. It also presents results that translate easily to MATLAB® and to MAPLE. This is a superb resource for researchers and practitioners in the fields of applied mathematics and electrical, civil, geotechnical, mechanical, chemical, and environmental engineering.
Vairāk informācijas
| Autors | Dariusz Ucinski |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2019 |
| Vāka tips | Mīkstais vāks |
| EAN | 9780367393984 |