International Journal of Adaptive Control and Signal Processing最新文献_第8页

Actuator multiplicative and additive simultaneous faults estimation using a qLPV proportional integral unknown input observer 利用 qLPV 比例积分未知输入观测器估算致动器乘法和加法同步故障

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-06-06 DOI: 10.1002/acs.3859

P. Gasga, M. Bernal, S. Gómez-Peñate, F.R. López-Estrada, G. Valencia-Palomo, I. Santos-Ruiz

{"title":"Actuator multiplicative and additive simultaneous faults estimation using a qLPV proportional integral unknown input observer","authors":"P. Gasga, M. Bernal, S. Gómez-Peñate, F.R. López-Estrada, G. Valencia-Palomo, I. Santos-Ruiz","doi":"10.1002/acs.3859","DOIUrl":"10.1002/acs.3859","url":null,"abstract":"<p>This paper introduces a technique for simultaneous estimation of additive and multiplicative faults in the actuators of nonlinear systems represented by quasi-linear parameter varying (qLPV) models based on a proportional-integral unknown input observer. The qLPV model, structured with a tensor product, allows for optimized flexibility of the observer gain. A distinguishing aspect of our method is the novel approach to nonlinearity, which is not only recast as a convex sum but also in the input vector. The study comprehensively analyses the robustness and convergence conditions through Lyapunov stability evaluation. A robust <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>$$ {mathcal{H}}_{infty } $$</annotation>\u0000 </semantics></math> performance criterion is incorporated to minimize the influence of measurement noise and disturbances. As a result, a set of linear matrix inequalities are obtained. Two examples are examined to demonstrate the practical applicability and efficacy of the proposed method, highlighting the observer's performance under the actuator faults.</p>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 8","pages":"2930-2950"},"PeriodicalIF":3.9,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379531","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}

引用次数: 0

Adaptive NNs asymptotic tracking control for high-order nonlinear systems under prescribed performance and asymmetric output constraints 规定性能和非对称输出约束条件下高阶非线性系统的自适应 NNs 渐近跟踪控制

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-06-02 DOI: 10.1002/acs.3858

Kun Jiang, Xuxi Zhang

引用次数: 0

Detection, reconstruction and mitigation of deception attacks in nonlinear cyber-physical systems 非线性网络物理系统中欺骗攻击的检测、重构和缓解

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-06-02 DOI: 10.1002/acs.3854

Maryam Shahriari-kahkeshi, Sayed Amirhosein Alem, Peng Shi

引用次数: 0

Kalman-based multiple sinusoids identification from intermittently missing measurements of the superimposed signal 基于卡尔曼的叠加信号间歇性缺失测量多正弦波识别技术

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-06-02 DOI: 10.1002/acs.3853

Amit Kumar Naik, Sumanta Kumar Nanda, Prabhat Kumar Upadhyay, Abhinoy Kumar Singh

{"title":"Kalman-based multiple sinusoids identification from intermittently missing measurements of the superimposed signal","authors":"Amit Kumar Naik, Sumanta Kumar Nanda, Prabhat Kumar Upadhyay, Abhinoy Kumar Singh","doi":"10.1002/acs.3853","DOIUrl":"10.1002/acs.3853","url":null,"abstract":"<div>\u0000 \u0000 <p>We consider the problem of stochastic identification of multiple sinusoids from intermittently missing measurements of superimposed signal. An alternate problem formulation is presented as estimation of amplitude and frequency of the sinusoids from missing measurements. The popularly known estimation methods, such as the extended Kalman filter (EKF) and cubature Kalman filter (CKF) may fail or suffer from poor accuracy if the measurements are missing. In this paper, we redesign the EKF to handle this irregularity in measurements and apply the modified EKF for the formulated estimation problem. In this regard, we introduce a modified measurement model incorporating the possibility of missing measurements. Subsequently, we rederive the relevant parameters of the EKF, such as measurement estimate, measurement error covariance, and state-measurement cross-covariance, for the modified measurement model. Furthermore, we rederive the posterior covariance with minimized trace and study the stability of the resulting extension of the EKF. The results reveal the superior performance of the modified EKF compared with the ordinary Gaussian filters and existing filters-based estimation of the sinusoids in the presence of intermittently missing measurements.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 9","pages":"2996-3015"},"PeriodicalIF":3.9,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141273743","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}

引用次数: 0

Intermittent fault detection in nonstationary processes via a Wald-based control chart 通过基于 Wald 的控制图检测非稳态过程中的间歇性故障

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-05-30 DOI: 10.1002/acs.3852

Yifan Liu, Yinghong Zhao, Ming Gao, Li Sheng

{"title":"Intermittent fault detection in nonstationary processes via a Wald-based control chart","authors":"Yifan Liu, Yinghong Zhao, Ming Gao, Li Sheng","doi":"10.1002/acs.3852","DOIUrl":"10.1002/acs.3852","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, the problem of intermittent fault (IF) detection is investigated for nonstationary processes in the multivariate statistics framework. By combining the moving window technique with maximum likelihood estimation (MLE), the moving window Wald-based control chart is proposed to realize the detection of IFs in nonstationary processes. The computational efficiency and the convergence properties are discussed for the designed iterative algorithm of MLE. Then, necessary and sufficient conditions are presented to guarantee the detectability of IFs with the consideration of window lengths. Moreover, the alarm delays are analyzed for the appearance and disappearance of IFs. In virtue of the above analysis, the optimal window length is derived by minimizing the supremum of alarm delays. In order to estimate the time of IFs' appearance and disappearance, an algorithm is designed with the inspiration of simulated annealing strategy. Finally, a simulation on rotary steerable drilling tool system is provided to verify the effectiveness of the proposed method.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 9","pages":"2952-2971"},"PeriodicalIF":3.9,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141188580","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}

引用次数: 0

Adaptive event-triggered secure control for networked control systems subject to deception and replay cyber-attacks 受欺骗和重放网络攻击影响的网络控制系统的自适应事件触发安全控制

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-05-27 DOI: 10.1002/acs.3834

M. Mubeen Tajudeen, M. Syed Ali, Grienggrai Rajchakit, Bandana Priya, Ganesh Kumar Thakur

引用次数: 0

Outlier-resistant state estimation for complex networks with random false data injection attacks under encoding–decoding mechanism 编码-解码机制下具有随机虚假数据注入攻击的复杂网络的抗异常值状态估计

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-05-22 DOI: 10.1002/acs.3833

Yufeng Liu, Jun Hu, Chaoqing Jia, Cai Chen, Kun Chi

{"title":"Outlier-resistant state estimation for complex networks with random false data injection attacks under encoding–decoding mechanism","authors":"Yufeng Liu, Jun Hu, Chaoqing Jia, Cai Chen, Kun Chi","doi":"10.1002/acs.3833","DOIUrl":"10.1002/acs.3833","url":null,"abstract":"<div>\u0000 \u0000 <p>This article focuses on the outlier-resistant state estimation problem for discrete time-varying complex networks (TVCNs) affected by random false data injection attacks (FDIAs) under an encoding–decoding mechanism (EDM). From the perspective of information security, a uniform-quantization-based EDM is employed to encrypt the transmitted data. During the data transmission process, a set of independent random variables governed by Bernoulli distribution is introduced to characterize the occurrence of random FDIAs. For the purpose of alleviating the passive impact of potential measurement outliers, a saturation structure is adopted during the estimator design. The gain matrix is given by minimizing the upper bound of estimation error covariance. According to the stochastic analysis method, it is shown that the state estimation error is bounded exponentially in mean-square sense by providing new sufficient condition. It should be noted that we make the first attempt to develop new outlier-resistant state estimation method with performance evolution criterion in the time-varying perspective for TVCNs with random FDIAs under EDM. Finally, a simulation example with comparative experiment is presented to illustrate the effectiveness of the newly presented outlier-resistant estimation algorithm.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 8","pages":"2833-2854"},"PeriodicalIF":3.9,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141111387","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}

引用次数: 0

Least squares adaptive control for uncertain system based on modified predictive model 基于修正预测模型的不确定系统最小二乘自适应控制

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-05-21 DOI: 10.1002/acs.3849

Huanhuan He, Rong Xie, Haitao Yin, Xue Fan, Wanghang Song

{"title":"Least squares adaptive control for uncertain system based on modified predictive model","authors":"Huanhuan He, Rong Xie, Haitao Yin, Xue Fan, Wanghang Song","doi":"10.1002/acs.3849","DOIUrl":"10.1002/acs.3849","url":null,"abstract":"<p>This research addresses the tracking problem of least squares adaptive control for a class of nonlinear system with mismatched uncertainties. Different from most of existing solutions, modified predictive model is integrated into the proposed least squares adaptive control architecture. The significant role of modified predictive model in the adaptive control architecture is to achieve smooth transient by filtering out the high-frequency oscillations, which cannot be canceled out by use of the hypothetical parameterized uncertainty models. Meanwhile, in order to guarantee tracking performance, a generalized restricted potential function (GRPF) is designed to constrain the weighted Euclidean norm of the predictive error of the modified predictive model to be less than a predefined scalar worst-case bound. Finally, comparative simulations via the generic transport model (GTM) are conducted to examine the effectiveness of the proposed method. The results show that the transient performance and tracking performance of the controlled system can be improved simultaneously by the proposed method.</p>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 8","pages":"2893-2914"},"PeriodicalIF":3.9,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141115553","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}

引用次数: 0

Frequency domain stability and relaxed convergence conditions for filtered error adaptive feedforward 滤波误差自适应前馈的频域稳定性和宽松收敛条件

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-05-21 DOI: 10.1002/acs.3826

Sil T. Spanjer, Hakan Köroğlu, Wouter B. J. Hakvoort

{"title":"Frequency domain stability and relaxed convergence conditions for filtered error adaptive feedforward","authors":"Sil T. Spanjer, Hakan Köroğlu, Wouter B. J. Hakvoort","doi":"10.1002/acs.3826","DOIUrl":"10.1002/acs.3826","url":null,"abstract":"<p>The convergence of filtered error and filtered reference adaptive feedforward is limited by three effects: model mismatch, unintended input-disturbance interaction and too fast parameter adaptation. In this article, the first two effects are considered for MIMO systems under the slow parameter adaptation assumption. The convergence with model mismatch is conventionally guaranteed using a strictly positive-real condition. This condition can be easily verified in the frequency domain, but due the high-frequency parasitic dynamics of real systems, it is hardly ever satisfied. Nevertheless, filtered error and filtered reference adaptive feedforward have successfully been implemented in numerous applications without satisfying the strictly positive-real condition. It is shown in this article that the strictly positive-real condition can be relaxed to a power-weighted integral condition, that is less conservative and provides a practical check for the convergence of filtered error adaptive feedforward for real systems in the frequency domain. The effects of input-disturbance interaction are analysed and conditions for the stability are given in the frequency domain. Both conditions give clear indicators for frequency domain filter tuning, and are verified on an experimental active vibration isolation system.</p>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 7","pages":"2630-2654"},"PeriodicalIF":3.9,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acs.3826","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141113349","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

Hybrid optimized deep quantum neural network in Internet of Things platform using routing algorithm for detecting smart maize leaf disease 物联网平台中的混合优化深度量子神经网络利用路由算法检测智能玉米叶病

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-05-20 DOI: 10.1002/acs.3836

Loshma Gunisetti, Shirin Bhanu Koduri, Veeraraghavan Jagannathan, Raja Ramesh Chundru

{"title":"Hybrid optimized deep quantum neural network in Internet of Things platform using routing algorithm for detecting smart maize leaf disease","authors":"Loshma Gunisetti, Shirin Bhanu Koduri, Veeraraghavan Jagannathan, Raja Ramesh Chundru","doi":"10.1002/acs.3836","DOIUrl":"10.1002/acs.3836","url":null,"abstract":"<div>\u0000 \u0000 <p>The productivity in the agricultural sector is minimized due to the disease in plants. In general, the ailments that affect plants are identified by the farmers and the losses are minimized, when the diseases are identified early. The early identification of leaf diseases is difficult in the traditional approaches. Hence, in this article, for detecting maize leaf disease, an adaptive competitive shuffled shepherd optimization-driven deep quantum neural network (adaptive CSSO-based deep QNN) is implemented. Here, the initial process is the simulation of the IoT nodes and the leaf data are collected. This data are transferred to base station (BS) via the best routes. The optimal routes are identified using the adaptive CCSO algorithm. The adaptive concept, shuffled shepherd optimization algorithm (SSOA) and competitive swarm optimizer (CSO) are merged for forming the adaptive-CSSO algorithm. The leaf detection is done in the BS and initially, the data is preprocessed using region of interest (ROI). Then, the relevant features are extracted. Finally, the disease in the maize leaf is detected using Deep QNN and the training is done by adaptive CSSO. The devised approach has maximum accuracy of 96.04%, sensitivity of 97.41%, specificity of 94.35%, energy of 0.01 J, and minimum delay of 0.9596 s.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 8","pages":"2873-2892"},"PeriodicalIF":3.9,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141122450","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}

引用次数: 0