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Stability analysis of discrete-time delayed neural networks via delay-product-type Lyapunov–Krasovskii functionals
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-02 DOI: 10.1049/cth2.12778
Jun Chen, Fengqiang Ji, Guangming Zhuang, Hongjia Sha
{"title":"Stability analysis of discrete-time delayed neural networks via delay-product-type Lyapunov–Krasovskii functionals","authors":"Jun Chen,&nbsp;Fengqiang Ji,&nbsp;Guangming Zhuang,&nbsp;Hongjia Sha","doi":"10.1049/cth2.12778","DOIUrl":"https://doi.org/10.1049/cth2.12778","url":null,"abstract":"<p>This article is concerned with the stability problem for discrete-time neural networks with a time-varying delay. For the two cases that the delay-variation bounds are known and unknown, new augmented Lyapunov–Krasovskii functionals (LKFs) are correspondingly constructed by fully considering the information on the state-related vectors and nonlinear activation function. Through the entire vector-extension method, the forward differences of the new LKFs are estimated to be affine with the delay. Relaxed stability criteria are consequently derived via the convex method. Two numerical examples are provided to show the effectiveness of the proposed method on conservatism reduction.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12778","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Distributed zeroth-order online optimization with communication delays
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-02 DOI: 10.1049/cth2.12759
Keito Inoue, Naoki Hayashi, Shigemasa Takai
{"title":"Distributed zeroth-order online optimization with communication delays","authors":"Keito Inoue,&nbsp;Naoki Hayashi,&nbsp;Shigemasa Takai","doi":"10.1049/cth2.12759","DOIUrl":"https://doi.org/10.1049/cth2.12759","url":null,"abstract":"<p>This paper investigates distributed online optimization in a networked multiagent system, where each agent has its own private objective and constraint functions that vary over time. In many real-world scenarios, computing the gradient of the cost function can be challenging, especially when agents have limited computational capabilities. Moreover, communication delays are common in practical networked systems due to various factors. This paper considers a unified framework for distributed online optimization that can handle bandit feedback and communication delays feedback simultaneously. A distributed primal-dual algorithm is proposed that utilizes bandit feedback, in which the agents estimate the gradients of their objective and constraint functions by sampling the function values. An enlarged network model that incorporates the delayed information exchanged among the agents is introduced. Through theoretical analysis, it is shown that the proposed algorithm achieves sublinear upper bounds on both the dynamic regret and the constraint violation despite communication delays.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12759","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Maglev train levitation control via tracking differentiator with small phase lag
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2024-12-31 DOI: 10.1049/cth2.12777
Louyue Zhang, Gaoxi Xiao, Chao Zhai, Hehong Zhang
{"title":"Maglev train levitation control via tracking differentiator with small phase lag","authors":"Louyue Zhang,&nbsp;Gaoxi Xiao,&nbsp;Chao Zhai,&nbsp;Hehong Zhang","doi":"10.1049/cth2.12777","DOIUrl":"https://doi.org/10.1049/cth2.12777","url":null,"abstract":"<p>The levitation control system is a critical subsystem in maglev trains, ensuring stable levitation of the train on the guideway. Achieving stable levitation requires providing the system with accurate levitation gap and corresponding velocity data while minimizing phase lag. This work proposes an enhanced tracking differentiator (TD) to reduce phase lag in both filtering and differentiation of input signals with varying noise levels. The improved performance is achieved by incorporating system damping and an amplitude factor into the control algorithm used to design the differentiator. Theoretical analysis guarantees the convergence of the proposed algorithm. Simulations and experiments conducted on the levitation gap data demonstrate the superior performance of the proposed TD in reducing phase lag for both filtered and differentiated signals. Furthermore, experimental results highlight the improved performance of the feedback controller when employing the proposed TD.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12777","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143121425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive polynomial predictive filter for sensor data estimation and prediction in interference environment
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2024-12-22 DOI: 10.1049/cth2.12771
Dileep Sivaraman, Branesh M. Pillai, Songpol Ongwattanakul, Jackrit Suthakorn
{"title":"Adaptive polynomial predictive filter for sensor data estimation and prediction in interference environment","authors":"Dileep Sivaraman,&nbsp;Branesh M. Pillai,&nbsp;Songpol Ongwattanakul,&nbsp;Jackrit Suthakorn","doi":"10.1049/cth2.12771","DOIUrl":"https://doi.org/10.1049/cth2.12771","url":null,"abstract":"<p>This study introduces an adaptive polynomial predictive filter (APPF) to address the issues of inconsistent and interrupted sensor data in estimation and prediction tasks. The APPF utilizes a polynomial prediction model to estimate time-variant/time-invariant sensor data through polynomial extrapolation. A key feature of the APPF is the autonomous determination of an accurate polynomial order, which reflects the nonlinearity level of the system. This dynamic adjustment allows the APPF to effectively capture the complex dynamics of nonlinear systems without manual tuning, thereby ensuring an accurate sensor data estimation and fusion. This study primarily focuses on validating the feasibility of the APPF method, and the theoretical basis, implementation, and performance evaluation of the APPF are covered, with results from MATLAB simulations and laboratory-based practical experiments comparing the APPF with Kalman filter techniques. Experiments using Hall effect sensors, which provide precise localization by detecting magnetic signals, were conducted to assess the effectiveness of the APPF in addressing the sensor data variances and disturbances commonly encountered in surgical robotic tracking. The findings demonstrate that the APPF significantly enhances estimation and prediction accuracy, highlighting its potential for improving sensor data reliability in various applications.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12771","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Residual based tilt tri-rotor UAV actuator fault detection using TSK fuzzy model
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2024-12-16 DOI: 10.1049/cth2.12768
Guang He, Yi Bao, Liang Xin, Zhiqiang Long
{"title":"Residual based tilt tri-rotor UAV actuator fault detection using TSK fuzzy model","authors":"Guang He,&nbsp;Yi Bao,&nbsp;Liang Xin,&nbsp;Zhiqiang Long","doi":"10.1049/cth2.12768","DOIUrl":"https://doi.org/10.1049/cth2.12768","url":null,"abstract":"<p>Undetected actuator faults on tilt tri-rotor UAVs can lead to system failures and uncontrolled crashes. Multiple flight modes result in complex models with strong nonlinearity, making fault detection of their actuators a very challenging task. To address this issue, this article proposes a fault detection method based on residual generated by using TSK fuzzy model. Initially, the flight modes of the tilt tri-rotor UAV are modeled as the TSK fuzzy model. Following this, the residual generator is employed for rapid detection of actuator failures. To enhance detection accuracy, the kernel principal component analysis (KPCA) algorithm is used for a secondary confirmation. The proposed algorithm was validated using both a simulation platform and real flight data. The results demonstrate that the fault detection algorithm achieves high accuracy and real-time performance, with a computing time of approximately 41 ms in real controller hardware, thus meeting the requirements of practical applications.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12768","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive inverse control for trajectory tracking with dead-zone nonlinearity under cyberattacks
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2024-12-15 DOI: 10.1049/cth2.12776
Farnaz Sabahi
{"title":"Adaptive inverse control for trajectory tracking with dead-zone nonlinearity under cyberattacks","authors":"Farnaz Sabahi","doi":"10.1049/cth2.12776","DOIUrl":"https://doi.org/10.1049/cth2.12776","url":null,"abstract":"<p>Control systems rely heavily on the accuracy and reliability of sensor data; however, the integrity of these data can be compromised through spoofing attacks, leading to significant modelling errors that can render control impractical. In addition, centralized control poses a significant threat to system security. To address these issues, a distributed framework is suggested for a discrete-time nonlinear system that encounters unknown dead-zones at its input. The framework uses the inherent resilience of a decentralized peer-to-peer network to secure information exchange, eliminating the need for prior knowledge of system dynamics or potential attacks. The proposed framework performs two complex tasks: identifying the nonlinear system and dealing with the unknown nonlinearity at the input in the form of a dead-zone. An adaptive dead-zone inverse is used to handle the unknown nonlinearity at the input in the form of a dead-zone and integrate blockchain technology to secure communication between components. The blockchain component ensures tamper-proof data transmission and resistance to cyberattacks, providing both detection and defence mechanisms without prior knowledge of system dynamics or potential attacks. The actuator and plant components are matched and synchronized using a private network with static nodes, ensuring deterministic and well-coordinated communication. Simulation results demonstrate that the proposed framework both with and without blockchain integration, maintains stability and outperforms traditional methods in terms of robustness and accuracy, even when all parts of the framework are adjusted in response to attacks.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12776","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimal H-infinity fuzzy control of chaotic synchronization cryptosystems: An NN-based approach
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2024-12-12 DOI: 10.1049/cth2.12722
Feng-Hsiag Hsiao
{"title":"Optimal H-infinity fuzzy control of chaotic synchronization cryptosystems: An NN-based approach","authors":"Feng-Hsiag Hsiao","doi":"10.1049/cth2.12722","DOIUrl":"https://doi.org/10.1049/cth2.12722","url":null,"abstract":"<p>This study combines the ElGamal encryption algorithm and chaotic synchronization to enhance security by means of double encryption techniques. The ElGamal encryption system is an asymmetric key encryption algorithm for the public key cryptography, based on the Diffie-Hellman key exchange. With the rapid progress of science and technology, quantum computers are becoming universal, and due to their mighty computing power, traditional cryptosystems can be easily cracked; therefore, this study introduces a chaotic synchronization to prevent the security problems caused by quantum computers. Using the chaotic characteristics of disarray and irregularities as an auxiliary for encryption can enhance ElGamal security. Moreover, chaotic systems could be affected by external disturbances. Accordingly, this study focuses on fuzzy control for the optimal <i>H</i><b><sup>∞</sup></b> exponential synchronization of multiple time-delay chaotic systems via the neural network-based approach. Finally, the effectiveness of the proposed approach is demonstrated by an example with simulations.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12722","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust adaptive synchronization of the chaotic fractional-order satellite system subject to uncertainties and unknown inputs
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2024-12-11 DOI: 10.1049/cth2.12763
Zahra Yaghoubi, Mojgan Elmi, Mahdieh Adeli
{"title":"Robust adaptive synchronization of the chaotic fractional-order satellite system subject to uncertainties and unknown inputs","authors":"Zahra Yaghoubi,&nbsp;Mojgan Elmi,&nbsp;Mahdieh Adeli","doi":"10.1049/cth2.12763","DOIUrl":"https://doi.org/10.1049/cth2.12763","url":null,"abstract":"<p>This article addresses the robust adaptive synchronization for a three-dimensional unknown chaotic fractional-order satellite system. It is considered that the satellite system is under unknown moments of inertia and exogenous disturbance torques. It is assumed that the upper bound of the exogenous disturbance is unknown, which makes the controller design more complex. The control is designed with the aim of synchronization of two satellites with perturbing torques considering unknown parameters. The proposed controller consists of three parts: (1) a linear term of the synchronization error, (2) the nonlinear part of the synchronization error, and (3) online estimations of the unknown parameters and disturbance, which are established by fractional-order adaptation laws. The proposed robust adaptive control scheme uses Lyapunov theory and fractional concepts to guarantee the asymptotic stability of the closed-loop system. The proposed controller is robust to unknown parameters and disturbance torques by taking advantage of the adaptive estimation. The computational simulations show the success of the theoretical attainments.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12763","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Secure adaptive fuzzy tracking control for a class of nonlinear systems under actuator and sensor faults and denial-of-service attacks based on event-triggered mechanism
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2024-12-11 DOI: 10.1049/cth2.12767
Hamidreza Baghi, Farzaneh Abdollahi, Heidar Ali Talebi
{"title":"Secure adaptive fuzzy tracking control for a class of nonlinear systems under actuator and sensor faults and denial-of-service attacks based on event-triggered mechanism","authors":"Hamidreza Baghi,&nbsp;Farzaneh Abdollahi,&nbsp;Heidar Ali Talebi","doi":"10.1049/cth2.12767","DOIUrl":"https://doi.org/10.1049/cth2.12767","url":null,"abstract":"<p>The main focus of this article is to investigate the secure adaptive fuzzy tracking control (SAFTC) scheme for a class of uncertain nonlinear systems, with special presence of actuator and sensor faults and denial-of-service (DoS) attacks. The proposed method integrates switching gain observers, fuzzy logic systems (FLS), and event-triggered control and introduces a new algorithm and dynamic gain to optimize tracking performance and resilience against disturbances, multiple faults, and DoS attacks. In addition, it is demonstrated that the proposed control scheme ensures the closed-loop system remains bounded and the error signal asymptotically converges to a neighborhood around the origin. Finally, results for the proposed method applied to a class of unknown nonlinear systems are presented to back theoretical results and their effectiveness.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12767","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A game-theoretic cooperative path planning strategy using hybrid heuristic optimization algorithm
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2024-12-07 DOI: 10.1049/cth2.12766
Yutong Zhu, Ye Zhang
{"title":"A game-theoretic cooperative path planning strategy using hybrid heuristic optimization algorithm","authors":"Yutong Zhu,&nbsp;Ye Zhang","doi":"10.1049/cth2.12766","DOIUrl":"https://doi.org/10.1049/cth2.12766","url":null,"abstract":"<p>A novel method based on game theory and LCD-SCA optimization algorithm is proposed for solving the cooperative path planning challenge for multiple UAVs in a desired formation configuration. The cooperative path planning problem is solved by identifying the optimal strategy for the Stackelberg-Nash game. The conventional sine-cosine algorithm method is enhanced by incorporating linear differential decrement, chaos theory, and differential evolution, and the proposed heuristic method is integrated into the path planning problem. An optimal strategy for finding the game by minimising the global cost function via the heuristic method is integrated. Extensive simulation and comparison results are provided to evaluate the performance through simulation, compared with the previous work on path planning.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12766","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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