Energy-Saving Control in Mechatronics Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: closed (22 April 2022) | Viewed by 3555
Special Issue Editors
Interests: dynamic modeling; system identification; dynamics and control of the micro/nano positioning stage; energy-saving control of mechatronic systems
Interests: modeling; optimization; finite element method; ant colony optimization; particle swarm optimization; mathematical programming; nonlinear optimization
Interests: intelligent manufacture with machine learning-based; analysis for highly coupled vibratory signals; finite element and finite volume analyses; study on applications for industrial robot
Special Issue Information
Dear Colleagues,
Currently, the consumption of electric energy input is required to be more efficient for the same performance in driving a mechatronics system. Therefore, energy-saving motion control has gradually attracted more attention from scholars.
In this Special Issue, we invite contributions regarding energy-saving trajectory design, control, and novel technologies for academic and industrial applications. Studies with numerical simulations and experimental results are all encouraged to be published in the Special Issue. Using artificially intelligent algorithms, energy-saving trajectory design may be accomplished. Using the nonlinear tracking control, it is possible to achieve the minimum input electrical energy, and the new technology can be implemented in real-world industrial applications. Those who wish to contribute articles related to the above energy-saving techniques are welcome to submit them to this Special Issue.
Prof. Dr. Rong-Fong Fung
Prof. Dr. Wenchen Huang
Prof. Dr. Tsung-Liang Wu
Guest Editors
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Keywords
- energy-saving trajectory design
- energy-saving control
- energy-saving novel technology
- mechatronic system
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