Special Issue "New Trends in the Control of Robots and Mechatronic Systems"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 21 March 2021.

Special Issue Editor

Prof. Luca Bruzzone
Website SciProfiles
Guest Editor
DIME - Department of Mechanical, Energy, Management and Transportation Engineering, University of Genova, Genova, Italy
Interests: mechanics and control of robots and automation devices, and in particular parallel robotics, mobile robotics, cooperation of robots in complex tasks with force control, robot control algorithms, design of miniaturized devices and microgrippers with flexible joints, design of mechatronic systems actuated by electrical linear motors, fractional-order control of mechatronic devices, design of wave energy converters

Special Issue Information

Dear Colleagues,

In recent years, research on the control of robotic and mechatronic systems has led to a wide variety of advanced paradigms and techniques. Fuzzy, neural, sliding mode, backstepping, adaptive, predictive, fault-tolerant, fractional-order controls, reinforcement learning, genetic algorithms, evolutionary computation, and their combinations are examples of possible approaches. On the other hand, a big gap still exists between the scientific state-of-the-art and the industrial scenario, in which only a very limited subset of the research findings is applied, and the attention is more focused on human–machine interfaces, connectivity, safety, reliability, cost, and other more practical aspects.

This Special Issue is focused on new trends in the control of robotic and mechatronic systems, considering in particular applications in which innovations in the control approach bring significant improvements in the system performance, for example, in terms of accuracy, readiness, adaptability to different operative conditions, and energetic efficiency, without increasing too much the control complexity from the end-user point of view and without decreasing stability and robustness. In other words, the main intent is to promote the practical feasibility and usefulness of some cutting-edge techniques with a good technology readiness level.

It is, therefore, my immense pleasure to invite you to submit a manuscript for this Special Issue, covering any aspect of design, simulation, prototyping, and testing of robotic and mechatronic control systems.

Prof. Luca Bruzzone
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Robot control
  • Mechatronics
  • Motion control
  • Model-based control of mechanical systems
  • Fractional-order control
  • Neuro-fuzzy control
  • Sliding-mode control
  • Adaptive control
  • Reinforcement learning

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
State-Constrained Sub-Optimal Tracking Controller for Continuous-Time Linear Time-Invariant (CT-LTI) Systems and Its Application for DC Motor Servo Systems
Appl. Sci. 2020, 10(16), 5724; https://doi.org/10.3390/app10165724 - 18 Aug 2020
Abstract
In this paper, we propose an analytic solution of state-constrained optimal tracking control problems for continuous-time linear time-invariant (CT-LTI) systems that are based on model-based prediction, the quadratic penalty function, and the variational approach. Model-based prediction is a concept taken from model-predictive control [...] Read more.
In this paper, we propose an analytic solution of state-constrained optimal tracking control problems for continuous-time linear time-invariant (CT-LTI) systems that are based on model-based prediction, the quadratic penalty function, and the variational approach. Model-based prediction is a concept taken from model-predictive control (MPC) and this is essential to change the direction of calculation for the solution from backward to forward. The quadratic penalty function plays an important role in deriving the analytic solution since it can transform the problem into a form that does not have inequality constraints. For computational convenience, we also propose a sub-optimal controller derived from the steady-state approximation of the analytic solution and show that the proposed controller satisfies the Lyapunov stability. The main advantage of the proposed controller is that it can be implemented in real time with a lower computational load compared to the implicit MPC. Finally, the simulation results for a DC motor servo system are shown and compared with the results of the direct multi-shooting method and the implicit MPC to verify the effectiveness of the proposed controller. Full article
(This article belongs to the Special Issue New Trends in the Control of Robots and Mechatronic Systems)
Show Figures

Graphical abstract

Back to TopTop