Dear Colleagues,

Mechatronics is one of the most active and exciting fields in engineering as its applications can be found across several areas including transportation, medicine, agriculture, goods management and distribution, industry 4.0, communications, home appliances, and more.

In order to develop these applications in mechatronics, the design of a robust and effective control algorithm is crucial. Depending on the control objective, with the possibility to measure related signals and available hardware for implementation, the selected control algorithm varies from classical approaches such as PID and linear state feedback, robust control schemes such as sliding mode and adaptive control, and advanced methodologies such as intelligent control.

The control algorithm usually relies on the obtainment of a mathematical model that permits the selection of the correct control scheme and determination of its parameters, whose complexity is defined by the nature of the mechatronic system itself.

Furthermore, the overall solution must be firmly based on the correct acquisition, conditioning, and interpretation of the signals related to the system. These tasks are addressed by the development of an electronic instrumentation system based on sensors and transducers such as encoders, inertial measurements systems, ultrasound sensors, LIDAR, and diverse types of cameras.

• systems and control engineering
• electronic engineering
• mechatronics
• robotics
• mechanical systems, machines, and related components
• machine vision
• machine diagnostics and prognostics (condition monitoring)

Dr. Luis Enrique González-Jiménez
Dr. Luis Fernando Luque-Vega
Dr. Oscar Eleno Carbajal-Espinosa
Guest Editors

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• mechatronics
• control engineering
• dynamical modeling
• sensors and instrumentation