Using an Improved Output Feedback MPC Approach for Developing a Haptic Virtual Training System

Haptic training simulators generally consist of three major components, namely a human operator, a haptic interface, and a virtual environment. Appropriate dynamic modeling of each of these components can have far-reaching implications for the whole system's performance improvement in terms of...

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Veröffentlicht in:	Journal of optimization theory and applications Jg. 198; H. 2; S. 745 - 766
Hauptverfasser:	Sadeghnejad, Soroush, Khadivar, Farshad, Esfandiari, Mojtaba, Amirkhani, Golchehr, Moradi, Hamed, Farahmand, Farzam, Vossoughi, Gholamreza
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2023 Springer Nature B.V
Schlagworte:	Algorithms Applications of Mathematics Calculus of Variations and Optimal Control; Optimization Control algorithms Control theory Damping Degrees of freedom Dynamic models Engineering Environment models Haptic interfaces Haptics Impedance Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Output feedback Predictive control Robot arms Simulation Simulators Theory of Computation Training simulators Virtual environments Model predictive control (MPC) Virtual reality-based haptic system Robust stability Endoscopic sinus surgery (ESS) training simulator Quasi-min–max algorithm Linear parametric variable
ISSN:	0022-3239, 1573-2878
Online-Zugang:	Volltext
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