On the modeling and identification of stiffness in cable-based mechanical transmissions for robot manipulators
Sign Up to like & getrecommendations! Published in 2017 at "Mechanism and Machine Theory"
DOI: 10.1016/j.mechmachtheory.2016.10.020
Abstract: Abstract In this paper, we consider cable-based motor-to-joint transmissions which are known to introduce flexibility phenomena in the dynamic behaviour of robot manipulators. Their effects have to be taken into account for modeling and control… read more here.
Keywords: modeling identification; cable based; stiffness; cable ... See more keywords
Comprehensive approach to modeling and identification of a two-axis piezoelectric fast steering mirror system based on multi-component analysis and synthesis
Sign Up to like & getrecommendations! Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.03.002
Abstract: Abstract In the application of accurate beam pointing, an important requirement for precise modeling and identification of the complex piezoelectric fast steering mirror (PFSM) system is still a critical task. A comprehensive model is proposed… read more here.
Keywords: component; system; modeling identification; fast steering ... See more keywords
Fractional Order Based Modeling and Identification of Coupled Creep and Hysteresis Effects in Piezoelectric Actuators
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DOI: 10.1109/tmech.2020.2974978
Abstract: Accurate modeling and identification of piezoelectric actuators are increasingly demanded for intelligent micro–nano manufacturing to improve the accuracy of positioning and scanning. In this article, one coupled fractional-order creep and hysteresis model is established using… read more here.
Keywords: modeling identification; identification; creep hysteresis; fractional order ... See more keywords
Dynamic Causal Modeling on the Identification of Interacting Networks in the Brain: A Systematic Review
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2021.3123964
Abstract: Dynamic causal modeling (DCM) has long been used to characterize effective connectivity within networks of distributed neuronal responses. Previous reviews have highlighted the understanding of the conceptual basis behind DCM and its variants from different… read more here.
Keywords: modeling identification; causal modeling; effective connectivity; dynamic causal ... See more keywords