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Intelligent Systems and Sensors for Fault Tolerant Control and Fault Detection

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 2316

Special Issue Editors


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Guest Editor
School of Electrical Engineering and Automation, Anhui University, Anhui 230039, China
Interests: control theory and control systems; systems modeling, methods, and applications; signal processing and artificial intelligence

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Guest Editor
Department of Automatic Control, Robotics and Fluid Technique, Faculty of Mechanical and Civil Engineering, University of Kragujevac, 36000 Kraljevo, Serbia
Interests: stochastic systems; system identification; intelligent systems; fault-tolerant control; machine learning; robotics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Artificial Intelligence, Anhui University, Hefei 230601, China
Interests: stochastic control; nonlinear systems; sliding mode control; machine learning; UAV

Special Issue Information

Dear Colleagues,

With the increasingly sophisticated engineering background, more and more attention is focused on safety property and operational reliability. Thus, fault-tolerant control and fault detection are challenging problems that need to be handled urgently, in particular in safety-conscious engineering, for instance, aerospace systems, nuclear power networks, and vehicle systems. In fact, a fault-tolerant scheme in intelligent systems plays a key role, which allows the vehicle to be operated in a safe and stable mode when actuator or sensor failures occur during the steering process; for instance, the fault-tolerant controller is designed to prevent possible minor failures from developing into fatal accidents. In general, with the ever-increasing requirements around product quality, low maintenance cost, and safety performance in modern industries, the occurrence of faults greatly challenges the security and reliability of the system.

We invite authors to contribute original research articles as well as review articles related to all aspects of modeling, control methods, optimization theories, monitoring, signal processing, and fault detection for intelligent systems and sensors. All submissions are expected to include original ideas and new approaches. Of particular interest are papers devoted to the development of engineering applications. Papers presenting computational issues, search strategies, and modeling and solution techniques to practical problems are also welcome. Potential topics include but are not limited to the following:

  • Robust control of intelligent systems;
  • Fault-tolerant control scheme;
  • Fault detection and diagnosis;
  • Neural network modeling, control, and optimization;
  • Fuzzy modeling, control, and optimization;
  • Data-driven modeling, control, and optimization;
  • Signal processing and optimization;
  • Monitoring and fault tolerance.

Prof. Dr. Shuping He
Prof. Dr. Vladimir Stojanovic
Dr. Hai Wang
Prof. Dr. Jun Song
Guest Editors

Manuscript Submission Information

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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. Sensors 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 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

  • intelligent systems
  • fault tolerant control
  • fault detection and diagnosis
  • signal processing
  • data driven modeling

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Published Papers (1 paper)

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Research

17 pages, 3222 KiB  
Article
Design of Fractional Order Odd-Harmonics Repetitive Controller for Discrete-Time Linear Systems with Experimental Validations
by Edi Kurniawan, Jalu A. Prakosa, Hai Wang, Sensus Wijonarko, Tatik Maftukhah, Purwowibowo Purwowibowo, Harry Septanto, Enggar B. Pratiwi and Dadang Rustandi
Sensors 2022, 22(22), 8873; https://doi.org/10.3390/s22228873 - 16 Nov 2022
Cited by 3 | Viewed by 1688
Abstract
This paper presents a simple and straightforward design of a discrete-time fractional-order odd-harmonics repetitive controller (RC). Unlike general RC designs, the proposed method utilizes an internal model with a half-period delay and a stabilizing controller with a fractional phase lead compensator. First, the [...] Read more.
This paper presents a simple and straightforward design of a discrete-time fractional-order odd-harmonics repetitive controller (RC). Unlike general RC designs, the proposed method utilizes an internal model with a half-period delay and a stabilizing controller with a fractional phase lead compensator. First, the odd-harmonics internal model representing odd-harmonics frequencies is constructed by using the information of the reference’s basis period and the preferred tracking bandwidth. Secondly, an optimization problem synthesized from the stability condition of the RC closed-loop system is solved to obtain the fractional phase lead compensator. Finally, the fractional term of the stabilizing controller is realized by using a causal and stable infinite impulse response (IIR) filter, where the filter coefficients are computed by applying the Thiran formula. Simulation and experimental validation on a servomotor system are conducted to verify the effectiveness of the proposed design. Full article
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