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Symmetry
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Recent Advances in Sliding Mode Control/Observer and Its Applications
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Recent Advances in Sliding Mode Control/Observer and Its Applications

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: closed (15 May 2022) | Viewed by 9081

Special Issue Editors

Prof. Dr. Haifeng Ma

E-Mail Website
Guest Editor
School of Mechanical Engineering, Shandong University, Jinan 250061, China
Interests: vibration control; machining monitoring; high-precision motion control
Special Issues, Collections and Topics in MDPI journals
Dr. Huazhou Hou

E-Mail Website
Guest Editor
School of Automation, Southeast University, Nanjing 210096, China
Interests: sliding mode control and its applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sliding mode control (SMC) and sliding mode observation (SMO) provide effective ways for designing robust controllers and observers. This Special Issue covers recent advances in both sliding mode control and observation, which includes the following two categories: First, theoretical results on SMC and SMO, including novel design methods for controller and observer, and novel analysis results on the system dynamics of sliding mode systems, such as chattering analysis, discretization effects on the algorithms, frequency analysis, and so forth. The second part focuses on the applications of SMC or SMO in various systems, including power systems, mechatronics systems, power electronics, multiagent systems, underactuated systems, networked control systems, energy systems, and so on. The primary objective of this Special Issue is to provide a forum for researchers and practitioners to share their latest theoretical and technological achievements and to identify critical issues and challenges for future research on SMC/SMO. The submitted papers are expected to share original ideas and potential contributions for theory and application. Please note that your submission must be related to Symmetry.

Prof. Dr. Haifeng Ma
Dr. Huazhou Hou
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. Symmetry 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 2400 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

  • Terminal sliding mode control
  • Higher-order sliding mode control
  • Sliding mode observer
  • Discrete-time sliding mode control
  • Adaptive sliding mode control
  • Intelligent sliding mode control
  • Sliding mode control/observation applications

Published Papers (5 papers)

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Research

22 pages, 856 KiB  
Article
Dynamic Event-Triggered Integral Sliding Mode Adaptive Optimal Tracking Control for Uncertain Nonlinear Systems
by Wei Tan, Wenwu Yu and He Wang
Symmetry 2022, 14(6), 1264; https://doi.org/10.3390/sym14061264 - 18 Jun 2022
Cited by 3 | Viewed by 1404
Abstract
In this paper, we study the event-triggered integral sliding mode optimal tracking problem of nonlinear systems with matched and unmatched disturbances. The goal is to design an adaptive dynamic programming-based sliding-mode controller, which stabilizes the closed-loop system and guarantees the optimal performance of [...] Read more.
In this paper, we study the event-triggered integral sliding mode optimal tracking problem of nonlinear systems with matched and unmatched disturbances. The goal is to design an adaptive dynamic programming-based sliding-mode controller, which stabilizes the closed-loop system and guarantees the optimal performance of the sliding-mode dynamics. First, in order to remove the effects of the matched uncertainties, an event-triggered sliding mode controller is designed to force the state of the systems on the sliding mode surface without Zeno behavior. Second, another event-triggered controller is designed to suppress unmatched disturbances with a nearly optimal performance while also guaranteeing Zeno-free behavior. Finally, the benefits of the proposed algorithm are shown in comparison to several traditional triggering and learning-based mechanisms. Full article
(This article belongs to the Special Issue Recent Advances in Sliding Mode Control/Observer and Its Applications)
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19 pages, 1607 KiB  
Article
A Continuous Terminal Sliding-Mode Observer-Based Anomaly Detection Approach for Industrial Communication Networks
by Long Xu, Wei Xiong, Minghao Zhou and Lei Chen
Symmetry 2022, 14(1), 124; https://doi.org/10.3390/sym14010124 - 10 Jan 2022
Cited by 7 | Viewed by 1355
Abstract
Dynamic traffic monitoring is a critical part of industrial communication network cybersecurity, which can be used to analyze traffic behavior and identify anomalies. In this paper, industrial networks are modeled by a dynamic fluid-flow model of TCP behavior. The model can be described [...] Read more.
Dynamic traffic monitoring is a critical part of industrial communication network cybersecurity, which can be used to analyze traffic behavior and identify anomalies. In this paper, industrial networks are modeled by a dynamic fluid-flow model of TCP behavior. The model can be described as a class of systems with unmeasurable states. In the system, anomalies and normal variants are represented by the queuing dynamics of additional traffic flow (ATF) and can be considered as a disturbance. The novel contributions are described as follows: (1) a novel continuous terminal sliding-mode observer (TSMO) is proposed for such systems to estimate the disturbance for traffic monitoring; (2) in TSMO, a novel output injection strategy is proposed using the finite-time stability theory to speed up convergence of the internal dynamics; and (3) a full-order sliding-mode-based mechanism is developed to generate a smooth output injection signal for real-time estimations, which is directly used for anomaly detection. To verify the effectiveness of the proposed approach, the real traffic profiles from the Center for Applied Internet Data Analysis (CAIDA) DDoS attack datasets are used. Full article
(This article belongs to the Special Issue Recent Advances in Sliding Mode Control/Observer and Its Applications)
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15 pages, 1241 KiB  
Article
Fixed-Time Formation Control for Second-Order Disturbed Multi-Agent Systems under Directed Graph
by Huifen Hong and He Wang
Symmetry 2021, 13(12), 2295; https://doi.org/10.3390/sym13122295 - 02 Dec 2021
Cited by 4 | Viewed by 1529
Abstract
This paper investigates the fixed-time formation (FixF) control problem for second-order multi-agent systems (MASs), where each agent is subject to disturbance and the communication network is general directed. First, a FixF protocol is presented based on the backstepping technique, where the distributed cooperative [...] Read more.
This paper investigates the fixed-time formation (FixF) control problem for second-order multi-agent systems (MASs), where each agent is subject to disturbance and the communication network is general directed. First, a FixF protocol is presented based on the backstepping technique, where the distributed cooperative variable structure control method is utilized to handle the bounded disturbances. Then, to remove the dependence of control gains on the global information, a practical adaptive FixF control is presented, where the MASs can achieve formation with a bounded error within fixed time. Finally, a numerical example is presented to validate the theoretical result. Full article
(This article belongs to the Special Issue Recent Advances in Sliding Mode Control/Observer and Its Applications)
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19 pages, 1340 KiB  
Article
Adaptive Fuzzy Fault-Tolerant Control against Time-Varying Faults via a New Sliding Mode Observer Method
by Yi Zhang, Yingying Nie and Liheng Chen
Symmetry 2021, 13(9), 1615; https://doi.org/10.3390/sym13091615 - 02 Sep 2021
Cited by 11 | Viewed by 1629
Abstract
In this study, the problem of observer-based adaptive sliding mode control is discussed for nonlinear systems with sensor and actuator faults. The time-varying actuator degradation factor and external disturbance are considered in the system simultaneously. In this study, the original system is described [...] Read more.
In this study, the problem of observer-based adaptive sliding mode control is discussed for nonlinear systems with sensor and actuator faults. The time-varying actuator degradation factor and external disturbance are considered in the system simultaneously. In this study, the original system is described as a new normal system by combining the state vector, sensor faults, and external disturbance into a new state vector. For the augmented system, a new sliding mode observer is designed, where a discontinuous term is introduced such that the effects of sensor and actuator faults and external disturbance will be eliminated. In addition, based on a tricky design of the observer, the time-varying actuator degradation factor term is developed in the error system. On the basis of the state estimation, an integral-type adaptive fuzzy sliding mode controller is constructed to ensure the stability of the closed-loop system. Finally, the effectiveness of the proposed control methods can be illustrated with a numerical example. Full article
(This article belongs to the Special Issue Recent Advances in Sliding Mode Control/Observer and Its Applications)
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25 pages, 1194 KiB  
Article
The Approximation of the Nonlinear Singular System with Impulses and Sliding Mode Control via a Singular Polynomial Fuzzy Model Approach
by Jiawen Li, Yi Zhang and Zhenghong Jin
Symmetry 2021, 13(8), 1409; https://doi.org/10.3390/sym13081409 - 02 Aug 2021
Cited by 3 | Viewed by 2019
Abstract
In this paper, the Singular-Polynomial-Fuzzy-Model (SPFM) approach problem and impulse elimination are investigated based on sliding mode control for a class of nonlinear singular system (NSS) with impulses. Considering two numerical examples, the SPFM of the nonlinear singular system is calculated based on [...] Read more.
In this paper, the Singular-Polynomial-Fuzzy-Model (SPFM) approach problem and impulse elimination are investigated based on sliding mode control for a class of nonlinear singular system (NSS) with impulses. Considering two numerical examples, the SPFM of the nonlinear singular system is calculated based on the compound function type and simple function type. According to the solvability and the steps of two numerical examples, the method of solving the SPFM form of the nonlinear singular system with (and without) impulse are extended to the more general case. By using the Heine–Borel finite covering theorem, it is proven that a class of nonlinear singular systems with bounded impulse-free item (BIFI) properties and separable impulse item (SII) properties can be approximated by SPFM with arbitrary accuracy. The linear switching function and sliding mode control law are designed to be applied to the impulse elimination of SPFM. Compared with some published works, a human posture inverted pendulum model example and Example 3.2 demonstrate that the approximation error is small enough and that both algorithms are effective. Example 3.3 is to illustrate that sliding mode control can effectively eliminate impulses of SPFM. Full article
(This article belongs to the Special Issue Recent Advances in Sliding Mode Control/Observer and Its Applications)
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