Non-Linear Behavior of a Rubber Isolator System Using Fractional Derivatives
By Mattias Sjöberg, L. Kari. 2002
176 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/91900f229f905730ed4afe0b6b3013cc0b6fad53
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
In Control and Systems Engineering
- Dominik Sierociuk
- A. Charef
- Andrzej Dzielinski
- R. Stanisławski
- Krzysztof J. Latawiec
- Dorota Mozyrska
- Malgorzata Wyrwas
Citations in the corpus
- Fractional Kalman filter algorithm for the states, parameters and order of fractional system estimation (2006, methodology): “The simplified kalman filter for the linear case is called the fractional Kalman filter and its nonlinear extension is named the extended fractional Kalman filter.”
- Recursive prediction error identification of fractional order models (2012, background): “For example, modeling the behavior of some materials like polymers and rubber [1], the relaxation phenomena of organic dielectric materials such as semicrystalline polymers [2], the electrochemical processes and flexible robot [3], traffic in information networks [4].”