Nonlinear Control of Mechanical and Robotic Systems

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Control Systems".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 376

Special Issue Editors


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Guest Editor
División de Control y Sistemas Dinámicos, Intituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, Mexico
Interests: nonlinear control; mechanical systems; robot manipulators; stability and stabilization; constrained inputs; finite-time control

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Guest Editor
Tecnológico Nacional de México/Instituto Tecnológico de La Laguna, Coahuila, Torreón, Mexico
Interests: robot control; nonlinear control; fuzzy and neural control

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Guest Editor
Faculty of Electronics, Meritorious Autonomous University of Puebla, Av. San Claudio and 18 South Bldg, Cdad. Universitaria, Heroica Puebla de Zaragoza, Puebla 72570, Mexico
Interests: robot manipulators (regulation and tracking); visual servoing; analysis and control of dynamical systems; parameter identification; design and building of robot prototypes and mechatronics systems

Special Issue Information

Dear Colleagues,

The automatic control of mechanical and robotic systems is an active research topic that has attracted the attention of researchers, technologists, and engineers. It is a field that has proven to be an endless source of interesting analytical and practical challenges. These have required a thorough diversification and/or refinement of problem formulations, giving rise, in turn, to advanced nonlinear control design solutions. Such advances have made the implementation of many types of mechanical and robotic systems possible, achieving important tasks that have benefitted humanity.

We are pleased to invite you to contribute recent original results on the nonlinear control of mechanical and robotic systems. Analytical and experimental results are welcome on any topic relating to important research areas in the field, such as robotics and control systems.

This Special Issue aims to collect recent original studies on the nonlinear control of mechanical and robotic systems, such as mobile, underwater flying, industrial, legged, space, or networked robots and underactuated mechanical systems, and tasks, such as manipulation, consensus, formation or teleoperation. We are also interested in advances in the design techniques and methodologies used for these types of systems, which include, but are not limited to, robust, adaptive, passivity-based, intelligent, learning, finite-time, and force control.

Dr. Arturo Zavala-Río
Prof. Dr. Victor Santibañez
Prof. Dr. Fernando Reyes-Cortés
Guest Editors

Manuscript Submission Information

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Keywords

  • mechanical systems
  • robot manipulators
  • mobile robots
  • underactuated systems
  • networked robots
  • finite-time control
  • bilateral teleoperation
  • passivity-based control
  • force control
  • constrained control

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Published Papers (1 paper)

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22 pages, 2908 KiB  
Article
Composite Adaptive Control of Robot Manipulators with Friction as Additive Disturbance
by Daniel Gamez-Herrera, Juan Sifuentes-Mijares, Victor Santibañez and Isaac Gandarilla
Actuators 2025, 14(5), 237; https://doi.org/10.3390/act14050237 - 8 May 2025
Viewed by 171
Abstract
In this paper, an adaptive control scheme composed of an estimated feed-forward compensation and a PD control law with three mutually independent estimators is proposed for the tracking of desired trajectories in joint space for a robotic arm. One of the estimators is [...] Read more.
In this paper, an adaptive control scheme composed of an estimated feed-forward compensation and a PD control law with three mutually independent estimators is proposed for the tracking of desired trajectories in joint space for a robotic arm. One of the estimators is used to identify inertial and geometrical parameters, while the others determine the two principal components of the friction phenomenon: the part whose magnitude is position-dependent but velocity-independent and the part whose magnitude is proportional to velocity. Next, the persistently exciting condition is satisfied for each regression matrix of the estimators in a way that is easier to prove than the classical structure. Then, uniform global asymptotic stability can be concluded for the tracking error, regardless of parametric convergence, by applying the direct Lyapunov theorem. This scheme has been applied experimentally for a robotic arm to verify the theoretical results. The experimental results yielded a better performance in both estimating the parameters and tracking, with a much simpler overall analysis than the alternatives consulted. Full article
(This article belongs to the Special Issue Nonlinear Control of Mechanical and Robotic Systems)
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