International Journal of Adaptive Control and Signal Processing最新文献

{"title":"Reliable Automated ECG Arrhythmia Classification Using Reinforced VGG-27 Neural Network Framework","authors":"Trupti G. Thite,&nbsp;Sonal K. Jagtap","doi":"10.1002/acs.3926","DOIUrl":"https://doi.org/10.1002/acs.3926","url":null,"abstract":"<div>\u0000 \u0000 <p>Automated categorization of electrocardiogram (ECG) waveforms using deep learning (DL) methods has garnered considerable attention in recent research. However, prevalent DL networks encounter challenges including overfitting, class imbalance, limitations in deeper network training, and high computational demands. To address these issues, this study proposes an Automated ECG Arrhythmia Classification framework employing the Reinforced Visual Geometry Group-27 (REF-VGG-27). Initially, the framework encompasses preprocessing steps such as denoising, R-peak identification, data balancing, and cross-validation. For automatic feature extraction and classification, two DL architectures are suggested: a novel hybrid model combining 2D convolutional neural network (2DCNN) with VGG-16, featuring a deep architecture for extracting morphological characteristics, frequency features related to heart rate variability (HRV), and statistical attributes crucial for identifying atrial fibrillation (AF). Subsequently, to classify arrhythmia patterns, the VGG-16 Model is employed. Utilizing publicly available ECG image datasets, the proposed model achieved remarkable accuracy benchmarks: 99.61% accuracy, precision of 99.61%, and recall of 99.48%. Comparative analysis with existing approaches substantiates the efficiency and robustness of our model.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 1","pages":"163-176"},"PeriodicalIF":3.9,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fault Estimation for Semi-Markov Jump Cyber-Physical Control Systems With External Disturbances","authors":"V. Panneerselvam,&nbsp;R. Sakthivel,&nbsp;N. Aravinth,&nbsp;O. M. Kwon","doi":"10.1002/acs.3934","DOIUrl":"https://doi.org/10.1002/acs.3934","url":null,"abstract":"<div>\u0000 \u0000 <p>The main thrust of this study is to scrutinize the issues of fault estimation and asynchronous sampled-data fault-tolerant control for semi-Markov jump cyber-physical systems with external disturbances, faults and deception attacks. To do so, initially, an intermediate variable is framed and then using that variable as a foundation, a mode-dependent intermediate estimator is constructed, which estimates the fault signals and system's state simultaneously. Due to the unavailability of mode information in the Markov chain for the observer/controller, a hidden Markov model is employed to represent the asynchronous scenario between the mode of the original system and that of the designed observer/controller. Subsequently, benefited by the estimated terms and sampled-data approach, an asynchronous sampled fault-tolerant control protocol is offered up that facilitates compensating for the faults occurring in the system. In the meantime, the extended passive performance is used to lessen the negative impact of external disturbances exerting on the system. Besides this, the deception attacks occurring in the system are presumed to have a stochastic nature that adheres to the Bernoulli distribution. Moreover, by constructing mode-dependent Lyapunov–Krasovskii functional and blending it with integral inequalities, the sufficient condition confirming the intended outcomes is procured in the framework of linear matrix inequalities. Thereafter, on the platform of deduced adequate criteria, an explicit formulation for the requisite gain values can be obtained. Ultimately, simulation results are offered to verify the reliability of presented outcomes.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 2","pages":"277-291"},"PeriodicalIF":3.9,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Event-Triggered Adaptive Neural Network Control for 4WS4WD Wheeled Mobile Robot","authors":"Yi Liao,&nbsp;Yan-Jun Liu,&nbsp;Shu Li,&nbsp;Lei Liu,&nbsp;Hao Wang","doi":"10.1002/acs.3933","DOIUrl":"https://doi.org/10.1002/acs.3933","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, an event-triggered adaptive neural network controller based on threshold band is designed for a four wheels independently steered and four wheels independently driven (4WS4WD) mobile robot. The 4WS4WD mobile robot is attracting attention for its excellent motion performance such as manipulation versatility and posture flexibility. However, its control difficulty is increased due to its characteristics of being controlled by eight motors for steering and driving respectively. Also, since the robot itself has limited computing and communication resources, real-time control cannot be guaranteed. To copy with that, the kinematic and dynamics models are first introduced for the 4WS4WD mobile robot. Second, an adaptive neural network controller with low-frequency learning rate is utilized to control the mobile robot since there are unknown perturbations in the model. It can maintain system stability while handing unidentified model perturbations. The stability of the controller is demonstrated by Lyapunov stability analysis. An event-triggered based on threshold band is suggested to lessen the amount of computation in the control process. Finally, the simulation outcomes further demonstrate how the suggested approach can greatly lessen the computational and communication cost while maintaining control performance.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 2","pages":"266-276"},"PeriodicalIF":3.9,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"15Th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS'25)","authors":"Romeo Ortega","doi":"10.1002/acs.3935","DOIUrl":"https://doi.org/10.1002/acs.3935","url":null,"abstract":"&lt;p&gt;The 15th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS'25) will be held in Mexico City on July 2–4, 2025 with workshops on July 1. Since its first installment, ALCOS has been organized in many different countries, every three years, but this is the first time that it will take place in Latin America. A major goal of the workshop is to bring together researchers and educators and to gain some general and united perspectives in the study of adaptive and learning control systems. The scope will cover all areas of adaptive and learning control systems with applications in science and engineering, and special focus on interaction of adaptation and learning for design of prospective intelligent control systems.&lt;/p&gt;&lt;p&gt;The event will be in-person and all workshops, conference presentations, and meetings will be held in the Instituto Tecnologico Autónomo de México (ITAM), which is located in a lovely colonial neighborhood in the south of Mexico City. Mexico City is a vibrant modern metropolis with two international airports and frequent flights from all over the world. It is worth pointing out that the ALCOS'25 takes place a few days before the ACC'25, that will be held in Denver, Colorado, and there are plenty of direct flights from and to Mexico City. ITAM is a private university with excellent transportation facilities from all points of the city. It is one of Mexico's most important institutions of higher learning. It is also considered one of Mexico's think tanks and has the highest rank of admission to the Mexican Foreign Service. Mexico City provides, in locations near to ITAM, accommodation in all kinds of hotels and guest houses.&lt;/p&gt;&lt;p&gt;The ALCOS'25 technical program will consist of several types of presentations in regular and invited sessions, tutorial sessions, and special sessions. Submissions are encouraged in all areas of the theory and practice of adaptive and learning control systems. The standard session format will be 90 min, consisting of six talks (15 min each). The contributed papers will be handled via PaperPlaza for submission and review by the ALCOS'25 International Program Committee (IPC). These are typically six-page (or up to eight, with additional page charges) papers that report novel practice and applicable theory form the backbone of ALCOS.&lt;/p&gt;&lt;p&gt;Invited sessions consist of five to six papers that present a unifying theme from a diversity of viewpoints. Proposals must clearly describe the motivation and relevance of the session. Proposals must be accompanied by full versions of each paper, which will be individually reviewed together with the proposal itself. The IPC is eager to support strong proposals of this type. Application-specific invited sessions have been a strength of ALCOS.&lt;/p&gt;&lt;p&gt;One- or half-day workshop proposals are encouraged, particularly those that blend industry and academic presenters. These will take place at ITAM on Tuesday, July 1. Proposals for workshops that address novel control me","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 2","pages":"246"},"PeriodicalIF":3.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acs.3935","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513768","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}

{"title":"Integrated Guidance and Control Based on Improved Backstepping Method Under Input Saturation and Attitude Angle Constraints","authors":"Fei Dong,&nbsp;Xiaoyu Zhang,&nbsp;Panlong Tan","doi":"10.1002/acs.3921","DOIUrl":"https://doi.org/10.1002/acs.3921","url":null,"abstract":"<div>\u0000 \u0000 <p>In order to improve the penetration ability of missiles in the end guidance stage, and considering the delay problem when designing the guidance control loop separately, this article mainly studies the design problem of an integrated guidance control law under input saturation and attitude angle constraints. For the lower triangular structure model of the integrated guidance and control system, this article mainly uses an improved backstepping method to design the controller, and introduces an error compensation term in the design of the virtual controller to improve system stability. Introducing auxiliary variables and barrier Lyapunov functions to handle saturation and state constraint problems; in the face of the main problems of atmospheric disturbances, unmodeled dynamic errors of the system, and unknown acceleration of the target, this article mainly adopts a finite time observer for processing. The final simulation results demonstrate the effectiveness and superiority of the controller designed in this article.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 1","pages":"74-87"},"PeriodicalIF":3.9,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive Robust Control of Nonlinear Constrained Stirred-Tank Reactors via Self-Organizing Fuzzy Neural Network","authors":"Xiao-Song Cui,&nbsp;Dong-Juan Li,&nbsp;Dapeng Li","doi":"10.1002/acs.3929","DOIUrl":"https://doi.org/10.1002/acs.3929","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper presents an adaptive robust constraint controller for a continuous stirred tank reactor (CSTR) system based on a self-organizing fuzzy neural network (SOFNN). Due to the high complexity of the chemical reactions, the CSTR system contains many strong nonlinearities and uncertainties. This is the first time to introduce the SOFNN into the adaptive controller design of the CSTR system, which improves the adaptability to dynamic system changes through the adjustment of the fuzzy network structure. Meanwhile, the time-varying integral barrier Lyapunov functions (TVIBLFs) are employed to ensure the dimensionless reactant concentration and mixture temperature within a reasonable scope, which can improve the stability and safety of the CSTR system. Based on Lyapunov stability analysis, all the signals in a closed-loop system are ultimately bounded. Simulation results substantiate the efficacy of the proposed control scheme.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 1","pages":"187-199"},"PeriodicalIF":3.9,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fault in Converter Interfaced Micro Grid Using Detection and Identification of Hybrid Technique","authors":"Saravana Kumar Mani,&nbsp;Krishnakumar Vengadakrishnan,&nbsp;Vijayaragavan Moorthy","doi":"10.1002/acs.3905","DOIUrl":"https://doi.org/10.1002/acs.3905","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper introduces a novel hybrid approach, termed ZOA-SNN, for fault detection and identification in converter-interfaced microgrids. By integrating the Zebra Optimization Algorithm (ZOA) with Spiking Neural Network (SNN) technology, the proposed method provides a comprehensive solution suitable for both grid-connected and autonomous microgrid operation scenarios. The technique effectively isolates faults in the microgrid while maintaining operation continuity, particularly in islanded conditions. When operating in grid-connected mode, distributed generators (DGs) provide electricity as needed. When the grid is not available, power sharing amongst DGs is controlled by voltage angle droop control. By isolating malfunctioning portions, the proposed protection system reduces load shedding, while DG control guarantees smooth islanding and resynchronization. Evaluation on the MATLAB platform demonstrates the superior performance of the proposed technique compared to existing algorithms such as Augmented Lagrangian Particle Swarm Optimization (ALPSO), Graph Convolutional Network (GCN), and Buffalo Optimization (BO). With an accuracy, recall, precision, and F1-score reaching 98.5%, 99.2%, 99.1%, and 99.1%, respectively, the ZOA-SNN approach excels in fault detection and classification. Additionally, it significantly reduces computation times for parameter calculation, enhancing efficiency in microgrid control systems. These results highlight the innovation and advantages of the ZOA-SNN approach in enhancing the reliability and efficiency of fault detection systems in microgrid environments.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 12","pages":"3788-3800"},"PeriodicalIF":3.9,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of a Non-Commensurate Fractional-Order Nonlinear System Based on the Separation Scheme","authors":"Junwei Wang,&nbsp;Weili Xiong,&nbsp;Feng Ding","doi":"10.1002/acs.3923","DOIUrl":"https://doi.org/10.1002/acs.3923","url":null,"abstract":"<div>\u0000 \u0000 <p>This article is aimed to study the parameter estimation problems of a non-commensurate fractional-order system with saturation and dead-zone nonlinearity. In order to reduce the structural complexity of the system, the model separation scheme is used to decompose the fractional-order nonlinear system into two subsystems, one includes the parameters of the linear part and the other includes the parameters of the nonlinear part. Then, we derive an auxiliary model separable gradient-based iterative algorithm with the help of the model separation scheme. In addition, to improve the utilization of the real time information, an auxiliary model separable multi-innovation gradient-based iterative algorithm is presented based on the sliding measurement window. Finally, the feasibility of the presented algorithms is validated by numerical simulations.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 1","pages":"116-131"},"PeriodicalIF":3.9,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust Secure Tracking Control for Uncertain 2-D Discrete Systems in a Networked Environment","authors":"Khalid Badie,&nbsp;Zakaria Chalh,&nbsp;Mohammed Alfidi","doi":"10.1002/acs.3930","DOIUrl":"https://doi.org/10.1002/acs.3930","url":null,"abstract":"<div>\u0000 \u0000 <p>This article investigates the robust secure output tracking control for a class of uncertain two-dimensional (2-D) networked control systems. The 2-D systems are described by the well-known Fornasini–Marchesini (FM) local state-space model, the parameter uncertainties are assumed to reside in a polytopic region, and the deception attacks are supposed to occur randomly in the transmission process. In the problem formulation, Bernoulli random variables are used to characterize the phenomena of deception attacks. As main results, a novel <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> performance analysis condition for the augmented closed-loop system is proposed by using a novel parameter-dependent Lyapunov function and some zero equalities. Furthermore, both parameter-dependent and parameter-independent controllers have been designed, respectively, such that the output of the 2-D systems tracks the output of a given reference model well in the <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> sense. The design conditions are presented in terms of linear matrix inequalities (LMIs). In the end, a numerical simulation on a practical thermal process is applied to illustrate the effectiveness of the proposed method.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 1","pages":"200-213"},"PeriodicalIF":3.9,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Q-Learning Based Adaptive Kalman Filtering With Adaptive Window Length","authors":"Kun Tang,&nbsp;Xiaoli Luan,&nbsp;Feng Ding,&nbsp;Fei Liu","doi":"10.1002/acs.3928","DOIUrl":"https://doi.org/10.1002/acs.3928","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, we propose an adaptive Kalman filtering with adaptive window length based on Q-learning for dynamic systems with unknown model information. The iteration step length of the Q-function is quantitatively adjusted through the influence function. The adaptive Kalman filtering algorithm is used to set an appropriate weight matrix for the Q-function to estimate unknown model parameters. One numerical example and a practice-oriented case are given to illustrate the effectiveness of the proposed method. It is shown that this filtering can provide state estimates of best accuracy among all the compared methods when the model mismatch and noise statistical characteristics change.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 1","pages":"177-186"},"PeriodicalIF":3.9,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}