Using an improved output feedback MPC approach for developing a haptic virtual training system
DOI10.1007/s10957-023-02241-0arXiv2303.06602MaRDI QIDQ6051182
Farshad Khadivar, Golchehr Amirkhani, Mojtaba Esfandiari, Hamed Moradi, Soroush Sadeghnejad, Gholamreza Vossoughi, Farzam Farahmand
Publication date: 19 September 2023
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2303.06602
robust stabilitymodel predictive control (MPC)linear parametric variableendoscopic sinus surgery (ESS) training simulatorquasi-min-max algorithmvirtual reality-based haptic system
Applications of mathematical programming (90C90) Minimax problems in mathematical programming (90C47) Robustness in mathematical programming (90C17)
Cites Work
- Output feedback model predictive control for LPV systems based on quasi-min-max algorithm
- Bilateral teleoperation: An historical survey
- New robust model predictive control for uncertain systems with input constraints using relaxation matrices
- Quasi-min-max MPC algorithms for LPV systems
- Dynamic characterization and control of a parallel haptic interaction with an admittance type virtual environment
- Output feedback model predictive tracking control using a slope bounded nonlinear model
- Dynamic modelling and design of various robust sliding mode controls for the wind turbine with estimation of wind speed
- Nonlinear Model Predictive Control for Constrained Output Path Following
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