Title
Linear TimeVarying System Identification: Different Approaches,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 3–5 business days
- Estimated Delivery: 6–10 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Physical phenomena exhibit timevarying behaviour for number of reasons, mainly due to the variation of internal and external operating conditions. There exists large number of really challenging applications of linear timevarying system identification in different areas. For instance, telecommunications, signal processing and automatic control are some of the areas of applications where linear timevarying system identification has been extensively used. We find tremendous applications of system identification and modeling in the fields like chemical process, socioeconomic system, electric systems, hydrology, aeronautics, seismology, ecology, transportation, mechanical, structural engineering, life sciences and many more. In this book, different approaches for the identification of linear timevarying systems such as optimized forgetting factor approach, Kalman filter approach, combination of basis function and forgetting factor approach, and wavelet based approach have been presented.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.