Special Issue "Joint Issue with 5th International Symposium on Computer, Consumer and Control (IS3C2020)"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 30 December 2020.

Special Issue Editors

Prof. Jun-Juh Yan
Website
Guest Editor
Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 41107, Taiwan R.O.C.
Interests: Smart computing; robust control; secure communication; chaotic signal processing
Prof. Dr. Jason Sheng-Hong Tsai
Website
Guest Editor
Department of Electrical Engineering, National Cheng-Kung University, Tainan 701, Taiwan, R.O.C.
Interests: Robotics; numerical analysis; digital control; state-space self-tuning control; partial differential system control; optimal control

Special Issue Information

Dear Colleagues,

This Special Issue pertains to the 5th International Symposium on Computer, Consumer and Control (IS3C2020) to be held in Taichung, Taiwan, 18-20 June 2020. This conference offers a great opportunity for scientists, engineers, and practitioners to present the latest research results, ideas, developments, and applications. IS3C, held every two years, is hosted and sponsored by National Chin-Yi University of Technology, Taichung, Taiwan. As suggested by the name of the conference, the themes of this conference cover advanced multimedia, computer, telecommunication, sensors and semiconductor, consumer electronics, renewable energy, systems and control, and digital signal processing. Original high-quality papers related to these themes are especially solicited, including theories, methodologies, and applications in Computing, Consumer and Control.

This special issue includes topics with Technology, Innovation, Research & Development, Machine Learning and Consciousness, Artificial Intelligent, Automation,  Robotics, Digital redesign technology, Cognitive Systems, Digitalization, Secure communication, Process Automation, Performance Optimization. Manuscripts dealing with the implementation and development of the latest supercomputing technologies that are transferable to the above areas also fall within the scope of this special issue.

Recently, many intelligent robots have been developed for the future society. Particularly, intelligent robots should continue to perform tasks in real environments such as houses, commercial facilities and public facilities. The growing needs to automate daily tasks combined with new robot technologies are driving the development of human-friendly robots. Intelligent robots should have human-like intelligence and cognitive capabilities to co-exist with people.

Artificial intelligence is very important to provide human-friendly services by robots. Research on artificial intelligence, cognition computing, and soft computing has a long history. The concepts on adaptation, learning, and cognitive development should be introduced more intensively in the next generation robotics. Furthermore, the advent of Internet of Things, 5G wireless technology, and robotics technology may also bring brand-new emerging intelligence to robots. Therefore, This special session focuses on the intelligence of robots emerging from the adaptation, learning, and cognitive development through the interaction with people and dynamic environments from the conceptual, theoretical, methodological, and technical points of view.

This Special Issue is expected to select excellent papers both from and out of IS3C2020. We will provide an open discussion platform, where researchers, technologists, managers, entrepreneurs and investors can share experiences, opinions and expectations about the latest advances in this field.

Prof. Dr. Jun-Juh Yan
Prof. Dr. Jason Sheng-Hong Tsai
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 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

  • Technology, innovation, research & development
  • Nonlinear system
  • Digital redesign technology
  • Artificial intelligence
  • Secure communication
  • Robotics
  • Cognitive systems
  • Performance optimization…

Published Papers (1 paper)

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Research

Open AccessArticle
A Modified Functional Observer-Based EID Estimator for Unknown Continuous-Time Singular Systems
Appl. Sci. 2020, 10(7), 2316; https://doi.org/10.3390/app10072316 - 28 Mar 2020
Abstract
This paper presents the design of a linear quadratic analog tracker (LQAT) based on the observer–Kalman-filter identification (OKID) method and the design of a modified functional observer-based equivalent input disturbance (EID) estimator for unknown square–non-square singular analog systems with unknown input and output [...] Read more.
This paper presents the design of a linear quadratic analog tracker (LQAT) based on the observer–Kalman-filter identification (OKID) method and the design of a modified functional observer-based equivalent input disturbance (EID) estimator for unknown square–non-square singular analog systems with unknown input and output disturbances. First, an equivalent mathematical model of the singular analog system is presented to simulate the time response of continuous-time linear singular analog systems to arbitrary inputs via the model conversion method. Then, for the unknown singular analog system, it constructs a linear quadratic analog tracker with state feedback and feed-forward gains based on the off-line OKID method. Furthermore, it extends the design methodology of the EID estimator for strictly proper regular systems with unknown matched–mismatched input and output disturbances to proper regular systems. It is important to mention that the newly developed modified functional observer for proper systems is used to estimate the unknown EID of singular analog systems and that the constraints on the dimensions of unknown disturbances can be eliminated by using the newly proposed EID estimation method. The contributions of this paper can be listed as follows: (1) based on both the OKID method and the discrete-to-continuous model conversion, the simulation of the time responses of the continuous-time linear singular models (which are not feasible using existing MATLAB toolboxes) become feasible; (2) for effective control of the unknown singular analog system, an off-line OKID method is proposed to design an LQAT with state feedback and feed-forward gains; and (3) based on the newly developed modified functional observer for the reduced-order proper regular system, the original EID estimator in the literature is newly extended to estimate the EID from the unknown strictly proper singular analog system, without the original dimensional constraints of the disturbances. It is important to mention that the disturbances of interest can be unknown matched–mismatched input and output disturbances. Full article
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