Identification and control of electro-mechanical systems using state-dependent parameter estimation

DOI10.1080/00207179.2016.1209565zbMath1366.93125OpenAlexW2467392579MaRDI QIDQ5280276

Maxime Gautier, Alexandre Janot, Peter C. Young

Publication date: 20 July 2017

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1885/107349

zbMATH Keywords

identificationroboticsstate-dependent parameters

Mathematics Subject Classification ID

System identification (93B30) Estimation and detection in stochastic control theory (93E10) Automated systems (robots, etc.) in control theory (93C85) Identification in stochastic control theory (93E12) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (4)

A new frequency-domain subspace algorithm with restricted poles location through LMI regions and its application to a wind tunnel test ⋮ Input-to-state stability for system identification with continuous-time Runge–Kutta neural networks ⋮ Nonlinear system identification using quasi-ARX RBFN models with a parameter-classified scheme ⋮ Efficient parameterisation of nonlinear system models: a comment on Nöel and Schoukens (2018)

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