High-Performance Advanced Control for Electromechanical and Hydraulic Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 15
Special Issue Editors
Interests: electromechanical and hydraulic systems; nonlinear control; motion control; adaptive and robust control; intelligent control
Interests: hydraulic transmission and control; robotics; mechatronics; nonlinear control; adaptive and robust control
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent diagnostics; prognostics and health management (PHM) for electromechanical and hydraulic systems; artificial intelligence and signal processing; digital twins and intelligent robotics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Both electromechanical and hydraulic systems are broadly applied in high-performance drive and motion control for high-end mechanical equipment. Nonetheless, considering the presence of strong nonlinearities and multiple uncertainties existing in electromechanical and hydraulic systems, it is still arduous to meet the requirement of high-performance control. Thereby, the advanced control techniques for electromechanical and hydraulic systems have attracted much attention in recent years.
This Special Issue focuses on high-performance advanced control for electromechanical and hydraulic systems. The main topics of this Special Issue include, but are not limited to, the following: electromechanical control; hydraulic control; robot control; nonlinear control; adaptive and robust control; disturbance rejection control; intelligent control; fault diagnosis and fault-tolerant control; modeling; simulations and applicationss; etc. We look forward to your submissions.
Dr. Xiaowei Yang
Dr. Wenxiang Deng
Dr. Xiaoli Zhao
Guest Editors
Manuscript Submission Information
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Keywords
- electromechanical control
- hydraulic control
- robot control
- nonlinear control
- adaptive control
- robust control
- disturbance rejection control
- intelligent control
- reinforcement learning control
- neural network control
- fuzzy control
- fault diagnosis and fault-tolerant control
- modeling, simulations and applications
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