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Micromachines
Special Issues
Estimation and Control for Micro-Scale Cyber-Physical Systems with Applications
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Estimation and Control for Micro-Scale Cyber-Physical Systems with Applications

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E：Engineering and Technology".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 4428

Special Issue Editors

Prof. Dr. Hamid Reza Karimi

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Guest Editor
Department of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, 20156 Milan, Italy
Interests: control theory; mechatronics; sensors and actuators; motion control; vibration control; vehicle dynamics; fault detection; health monitoring; wind energy
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Birgit Vogel-Heuser

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Guest Editor
Department of Mechanical Engineering, Technical University of Munich, 80333 München, Germany
Interests: modeling of distributed embedded systems in automation and control regarding dependability and usability; human–machine interactions in process engineering of complex machines and plants
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ruwan Gopura

E-Mail Website1 Website2
Guest Editor
University of Moratuwa, Sri Lanka
Interests: robotics; biomechatronics

Special Issue Information

Dear Colleague,

Cyber-Physical Systems (CPS), as a technology-oriented and rapidly-growing field consists of a large number of interconnected subsystems subject to constraints, has recently obtained considerable attention in various engineering applications such as integration of micro- and nanoscale components as sensing and actuation in micromachinery systems. On the other hand, considering that CPS is defined based on the interface of the controller, actuators, and sensors through digital blocks evolving according to discrete events (cyber), it will be faced with several challenges in terms of physical system dynamics, network complexities and information flow. Therefore, to ensure smooth and reliable operation of CPSs in real-time, advanced modeling, sensing, estimation and control strategies are required to address these application-oriented systems reliably and profitably. The CPSs need to be more intelligent and more integrated within the industrial environment in which they operate. They must be robust and fault tolerant and, where appropriate, incorporate self-diagnostic and prognostic tools. Furthermore, new solutions are required, particularly in the areas of smart sensing, perception, actuation, signal processing, estimation and control.  

This Special Issue will compile recent efforts contributing to smart sensing, perception, actuation, estimation and control techniques in the context of automation for micro-scale cyber-physical systems (MCPS) composed of micro/nanoscale components in micromachines. Contributions addressing state-of-the-art developments and methodologies, and the perspectives on future developments and applications are also welcomed. Manuscripts should contain both theoretical and practical/experimental-oriented results. The topics of interest include but not limited to:

  • Smart sensing and actuation methods for MCPSs
  • Sensing network and data fusion optimization for MCPSs
  • Enabling technologies including multi agent systems and the internet of things (IoT) in MCPSs
  • Artificial-intelligent based on estimation and control for MCPSs
  • Robust, adaptive, resilient and intelligent-supported control method for MCPSs
  • Fault detection and fault-tolerant control/reliable control for MCPSs
  • Supervisory control and big data acquisition technologies for MCPSs
  • Software architectures to enable evolving MCPS
  • Experimental and numerical validation of MCPSs, especially in the areas of MEMS, micro/nanorobotics, biological micro-CPS, micromachines, micro-forming, micro-cutting process, Industry 4.0

Prof. Dr. Hamid Reza Karimi
Prof. Dr. Birgit Vogel-Heuser
Prof. Dr. Ruwan Gopura
Guest Editors

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 submissions that pass pre-check are 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. Micromachines is an international peer-reviewed open access monthly 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 2600 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

  • Micro-scale Cyber-physical systems
  • Control design
  • Estimation
  • Smart sensor and actuator
  • Multi agent systems

Published Papers (2 papers)

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Research

12 pages, 6494 KiB  
Article
Experimental Characterization of Laser Trepanned Microholes in Superalloy GH4220 with Water-Based Assistance
by Liang Wang, Huayu Yang, Naifei Ren, Zhengtian Wu and Kaibo Xia
Micromachines 2022, 13(12), 2249; https://doi.org/10.3390/mi13122249 - 17 Dec 2022
Cited by 1 | Viewed by 1248
Abstract
An experiment using water-assisted millisecond laser trepanning on superalloy GH4220 was carried out, and the effects of pulse energy on the hole entrance morphology, diameter, roundness, cross-section morphology, taper angle, sidewall roughness, and recast layer in air and with water-based assistance were compared [...] Read more.
An experiment using water-assisted millisecond laser trepanning on superalloy GH4220 was carried out, and the effects of pulse energy on the hole entrance morphology, diameter, roundness, cross-section morphology, taper angle, sidewall roughness, and recast layer in air and with water-based assistance were compared and analyzed. The results show that, compared with the air condition, the water-based assistance improved the material removal rate and hole quality, increased the diameter of the hole entrance and exit, increased the hole roundness, decreased the hole taper angle, decreased the hole sidewall roughness, and reduced the recast layer thickness. In addition, under the combined action of water and steam inside the hole, the sidewall surface morphology quality was improved. Compared with the air condition, the spatter around the hole entrance was reduced, but the oxidation phenomenon formed by the thermal effect surrounding the hole entrance with water-based assistance was more obvious. The research provided technical support for the industrial application of millisecond laser drilling. Full article
(This article belongs to the Special Issue Estimation and Control for Micro-Scale Cyber-Physical Systems with Applications)
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18 pages, 2003 KiB  
Article
Counterexample Generation for Probabilistic Model Checking Micro-Scale Cyber-Physical Systems
by Yang Liu, Yan Ma, Yongsheng Yang and Tingting Zheng
Micromachines 2021, 12(9), 1059; https://doi.org/10.3390/mi12091059 - 31 Aug 2021
Viewed by 1872
Abstract
Micro-scale Cyber-Physical Systems (MCPSs) can be automatically and formally estimated by probabilistic model checking, on the level of system model MDPs (Markov Decision Processes) against desired requirements in PCTL (Probabilistic Computation Tree Logic). The counterexamples in probabilistic model checking are witnesses of requirements [...] Read more.
Micro-scale Cyber-Physical Systems (MCPSs) can be automatically and formally estimated by probabilistic model checking, on the level of system model MDPs (Markov Decision Processes) against desired requirements in PCTL (Probabilistic Computation Tree Logic). The counterexamples in probabilistic model checking are witnesses of requirements violation, which can provide the meaningful information for debugging, control, and synthesis of MCPSs. Solving the smallest counterexample for probabilistic model checking MDP has been proven to be an NPC (Non-deterministic Polynomial complete) problem. Although some heuristic methods are designed for this, it is usually difficult to fix the heuristic functions. In this paper, the Genetic algorithm optimized with heuristic, i.e., the heuristic Genetic algorithm, is firstly proposed to generate a counterexample for the probabilistic model checking MDP model of MCPSs. The diagnostic subgraph serves as a compact counterexample, and diagnostic paths of MDP constitute an AND/OR tree for constructing a diagnostic subgraph. Indirect path coding of the Genetic algorithm is used to extend the search range of the state space, and a heuristic crossover operator is used to generate more effective diagnostic paths. A prototype tool based on the probabilistic model checker PAT is developed, and some cases (dynamic power management and some communication protocols) are used to illustrate its feasibility and efficiency. Full article
(This article belongs to the Special Issue Estimation and Control for Micro-Scale Cyber-Physical Systems with Applications)
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