Non-linear generalised minimum variance control state space design for a second-order Volterra series model

DOI10.1080/00207721.2013.874509zbMath1332.93379OpenAlexW1980991346MaRDI QIDQ2792197

Mohsen Maboodi, Ali Khaki-Sedigh, Eduardo Fernández Camacho

Publication date: 8 March 2016

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2013.874509

zbMATH Keywords

stochastic controlVolterra modelNGMVNMVstate space design

Mathematics Subject Classification ID

Optimal stochastic control (93E20)

Related Items (1)

Control performance assessment for a class of nonlinear systems using second-order Volterra series models based on nonlinear generalised minimum variance control

Cites Work

• Nonlinear generalized minimum variance feedback, feedforward and tracking control
• Selection of generalized orthonormal bases for second-order Volterra filters
• State-space approach to nonlinear predictive generalised minimum variance control
• Self-tuning control of non-linear ARMAX models
• Fading memory and the problem of approximating nonlinear operators with Volterra series
• Generalized minimum variance control law revisited

This page was built for publication: Non-linear generalised minimum variance control state space design for a second-order Volterra series model