Young Researcher Paper Award 2025
🥇Winners

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 38, Number 4(4) (2026)
Copyright(C) MYU K.K.
pp. 2169-2185
S&M4429 Report
https://doi.org/10.18494/SAM6064
Published: April 28, 2026

One-time-varying Sliding Mode Control and Adaptive-type Control of State Synchronization for Unified Chaotic Systems [PDF]

Chi-Hsin Yang

(Received November 18, 2025; Accepted April 21, 2026)

Keywords: time-varying sliding mode control (SMC), adaptive time-varying SMC, state synchronization, unified chaotic system, antipodal chaos shift keying (ACSK)

In this paper, a time-varying sliding mode control (SMC) strategy and an adaptive enhancement of SMC to achieve state synchronization in unified chaotic systems are presented. A dedicated sliding mode function and its corresponding control law are developed to drive the synchronization error states onto the sliding surface and sustain them there. Once on the surface, complete state synchronization is achieved as the first two error states converge to zero within a finite time, while the third error state asymptotically approaches zero through exponential decay. However, the initial control design exhibits notable chattering in the control input, which is mitigated by introducing an adaptive time-varying SMC scheme that effectively suppresses such a chattering effect. The proposed adaptive approach employs online-updated state feedback gains that adjust in real time in accordance with the designed adaptation laws without requiring prior knowledge of system nonlinearities, lumped uncertainties, or external disturbances. The stability of the closed-loop error system is rigorously proven using Lyapunov stability theory, and numerical simulations are conducted to validate the effectiveness and robustness of the proposed control schemes. The proposed control algorithm has future potential in signal transmission and sensing, such as antipodal chaos shift keying (ACSK) in a spread-spectrum chaotic communication system. The pending problems lie in developing a functional ACSK system by applying the proposed algorithm and facing the limitations such as the degradation of noise mitigation efficacy and the expenses of hardware implementation. Overcoming these points will be future works of this study.

Corresponding author: Chi-Hsin Yang


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Chi-Hsin Yang, One-time-varying Sliding Mode Control and Adaptive-type Control of State Synchronization for Unified Chaotic Systems, Sens. Mater., Vol. 38, No. 4, 2026, p. 2169-2185.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Signal Collection, Processing, and System Integration in Automation Applications 2026
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology), Ming-Te Chen (National Chin-Yi University of Technology), and Chin-Yi Cheng (National Yunlin University of Science and Technology)
Call for paper


Special Issue on Advanced GeoAI for Smart Cities: Novel Data Modeling with Multi-source Sensor Data
Guest editor, Prof. Changfeng Jing (China University of Geosciences Beijing)
Call for paper


Special Issue on Advanced Sensor Application Development
Guest editor, Shih-Chen Shi (National Cheng Kung University) and Tao-Hsing Chen (National Kaohsiung University of Science and Technology)
Call for paper


Special Issue on Mobile Computing and Ubiquitous Networking for Smart Society
Guest editor, Akira Uchiyama (The University of Osaka) and Jaehoon Paul Jeong (Sungkyunkwan University)
Call for paper


Special Issue on Advanced Materials and Technologies for Sensor and Artificial- Intelligence-of-Things Applications (Selected Papers from ICASI 2026)
Guest editor, Sheng-Joue Young (National Yunlin University of Science and Technology)
Conference website
Call for paper


Special Issue on Biosensing Devices
Guest editor, Kiyotaka Sasagawa (Nara Institute of Science and Technology)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.