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Suitable for courses in System Identification, this book provides a description of the theory, methodology and practice of System Identification - the science of building mathematical models of dynamic systems by observing input/output data. It includes material on subspace methods, non-linear...
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Suitable for courses in System Identification, this book provides a description of the theory, methodology and practice of System Identification - the science of building mathematical models of dynamic systems by observing input/output data. It includes material on subspace methods, non-linear black box models - such as neural networks.
ascunde descrierea
- Editură: Pearson Education (US)
- Cod:
- Anul publicării: 1998
- Limba: Engleză
- Legarea: Legată
- Număr de pagini: 640
- Lățimea ambalajului: 18.3 cm
- Înălțimea ambalajului: 23.7 cm
- Adâncimea ambalajului: 3.6 cm
- Greutatea ambalajului: 1.3 kg
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