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International Journal of Adaptive Control and Signal Processing最新文献

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Output feedback control of stochastic nonlinear systems with external disturbances and inverse dynamics 具有外部扰动和反动力学的随机非线性系统的输出反馈控制
IF 3.1 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-16 DOI: 10.1002/acs.3892
Chunxiao Wang, Yang Gao, Zhongcai Zhang, Yuqiang Wu
{"title":"Output feedback control of stochastic nonlinear systems with external disturbances and inverse dynamics","authors":"Chunxiao Wang, Yang Gao, Zhongcai Zhang, Yuqiang Wu","doi":"10.1002/acs.3892","DOIUrl":"https://doi.org/10.1002/acs.3892","url":null,"abstract":"SummaryThis work presents an approach to control a type of stochastic cascade nonlinear systems, which involve external disturbances and nonlinear terms. The external disturbances under the consideration are not measurable and regarded as extended states. The proposed method addresses the problem of unmeasured states and external disturbances by introducing an extended state observer (ESO). Based on the above work, a new stochastic nonlinear system including ESO is established. To ensure the stability and boundedness of the system, an adaptive output feedback controller is designed by using stochastic integrated input‐to‐state stability and backstepping design technique. This controller guarantees that all the states remain almost surely bounded and globally asymptotically stable in probability. Simulation experiments are conducted to validate the effectiveness of the proposed control scheme.","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221709","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
Robust fixed‐point Kalman smoother for bilinear state‐space systems with non‐Gaussian noise and parametric uncertainties 具有非高斯噪声和参数不确定性的双线性状态空间系统的稳健定点卡尔曼平滑器
IF 3.1 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-15 DOI: 10.1002/acs.3891
Xuehai Wang, Yage Liu, Sirui Zhao
{"title":"Robust fixed‐point Kalman smoother for bilinear state‐space systems with non‐Gaussian noise and parametric uncertainties","authors":"Xuehai Wang, Yage Liu, Sirui Zhao","doi":"10.1002/acs.3891","DOIUrl":"https://doi.org/10.1002/acs.3891","url":null,"abstract":"SummaryKalman smoother is an effective algorithm to estimate the state of the dynamic systems with Gaussian noise. However, when the system is affected by non‐Gaussian noise, the traditional Kalman smoother may suffer severe performance degradation, since it is derived from the minimum mean square error criterion. By introducing the maximum correntropy criterion, which accounts for all higher order moments and has the ability to resist non‐Gaussian noise, this article studies the state estimation problem of the bilinear state‐space system with non‐Gaussian noises and parametric uncertainties. The bilinear system with parametric uncertainties is transformed into a linear time‐varying system, and a robust fixed‐point Kalman filter algorithm is derived based on the Cauchy kernel‐based correntropy criterion. To improve the state estimation accuracy, a Cauchy kernel‐based fixed‐point Kalman smoother (CK‐FPKS) algorithm is presented by introducing the backward smoothing. Simulation results show the effectiveness of the proposed algorithm.","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221710","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
Set‐membership state estimation for delayed switched systems with interval uncertainty: A zonotopic approach 具有区间不确定性的延迟开关系统的集合成员状态估计：区位方法
IF 3.1 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-15 DOI: 10.1002/acs.3895
Zhizhen Zhou, Dongyan Chen, Jun Hu, Ning Yang
{"title":"Set‐membership state estimation for delayed switched systems with interval uncertainty: A zonotopic approach","authors":"Zhizhen Zhou, Dongyan Chen, Jun Hu, Ning Yang","doi":"10.1002/acs.3895","DOIUrl":"https://doi.org/10.1002/acs.3895","url":null,"abstract":"SummaryConsidering the existence of time delay and interval uncertainty, a set‐membership state estimation problem based on zonotopes is studied for discrete‐time switched systems subject to unknown but bounded noises. To conform the actual situation, a state observer asynchronous with the subsystem is designed. The performance is introduced to attenuate the effect of noises in the observer design. By dealing with the interval uncertainty, the design approach of observer is given and transformed into a convex optimization problem which can be solved off‐line. The zonotope and the estimation interval containing state are provided based on the observer. Finally, a numerical example is given to verify the effectiveness of the proposed algorithm.","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221712","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
Slow feature‐constrained decomposition autoencoder: Application to process anomaly detection and localization 慢速特征约束分解自动编码器：应用于流程异常检测和定位
IF 3.1 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-14 DOI: 10.1002/acs.3888
Mingwei Jia, Lingwei Jiang, Junhao Hu, Yi Liu, Tao Chen
{"title":"Slow feature‐constrained decomposition autoencoder: Application to process anomaly detection and localization","authors":"Mingwei Jia, Lingwei Jiang, Junhao Hu, Yi Liu, Tao Chen","doi":"10.1002/acs.3888","DOIUrl":"https://doi.org/10.1002/acs.3888","url":null,"abstract":"SummaryDetecting anomalies in manufacturing processes is crucial for ensuring safety. However, noise significantly undermines the reliability of data‐driven anomaly detection models. To address this challenge, we propose a slow feature‐constrained decomposition autoencoder (SFC‐DAE) for anomaly detection in noisy scenarios. Considering that the process can exhibit both long‐term trends and periodic properties, the process data is decomposed into trends and cycles. The repetitive information is mitigated by slicing and randomly masking certain trends and cycles. Dependencies among slices are constructed to extract intrinsic information, while high‐frequency noise is reduced using a slow feature‐constrained loss. Anomalies are detected and localized through a reconstruction error strategy. The effectiveness of SFC‐DAE is demonstrated using data from a sugar factory and a secure water treatment system.","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221713","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 sliding mode control for quadrotor transport systems with uncertain parameters and disturbances 具有不确定参数和干扰的四旋翼运输系统的自适应滑模控制
IF 3.1 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-14 DOI: 10.1002/acs.3893
Longkang Huang, Yanhua Yang, Yang Chen
{"title":"Adaptive sliding mode control for quadrotor transport systems with uncertain parameters and disturbances","authors":"Longkang Huang, Yanhua Yang, Yang Chen","doi":"10.1002/acs.3893","DOIUrl":"https://doi.org/10.1002/acs.3893","url":null,"abstract":"SummaryQuadrotor transportation systems have been widely utilized in both commercial and civilian fields. However, challenges arise due to the variable payload mass and unpredictable wind disturbances during cargo transport, potentially leading to excessive payload swinging and system instability. To tackle this issue, this article proposes an adaptive sliding mode control approach that concurrently achieves trajectory tracking for the quadrotor and mitigates payload swinging. In the outer loop subsystem, the quadrotor dynamics model is partitioned into two components that is, actuated and underactuated components. Sliding surfaces are designed based on this divided system model, and two adaptive laws are designed to compensate for payload mass uncertainty and unknown wind disturbances. The system's asymptotic stability is assured through the application of the Lyapunov theorem. In the inner loop subsystem, a disturbance rejection controller is formulated. Comparative simulation results conclusively demonstrate the outstanding performance of the proposed method in terms of trajectory tracking and robustness.","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221717","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 deep neural network optimized control for a class of nonlinear strict‐feedback systems with prescribed performance 对一类具有规定性能的非线性严格反馈系统进行自适应深度神经网络优化控制
IF 3.1 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-14 DOI: 10.1002/acs.3897
Hongwei Lu, Jian Wu, Wei Wang
{"title":"Adaptive deep neural network optimized control for a class of nonlinear strict‐feedback systems with prescribed performance","authors":"Hongwei Lu, Jian Wu, Wei Wang","doi":"10.1002/acs.3897","DOIUrl":"https://doi.org/10.1002/acs.3897","url":null,"abstract":"SummaryIn this article, an adaptive deep neural network (DNN) optimized control strategy is developed for a class of nonlinear strict‐feedback systems with prescribed performance. First, the DNN is applied to approximate the unknown function, and the weight update law is designed to reduce the mathematical challenge based on the first‐order Taylor's series. Second, the optimized backstepping technique is utilized to construct virtual and actual controllers in the backstepping process to achieve the overall control optimization of the system. Next, a control strategy based on the time‐varying switching function and the quartic barrier Lyapunov function is employed to achieve the prescribed performance. Then, the tracking error can converge to the prescribed accuracy within the prescribed time, and every signal within the system has a bound. Finally, the particle swarm optimization algorithm is utilized to search for the designed parameters and simulation examples to verify the effectiveness of the control strategy.","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221714","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
Fault detection for saturated nonlinear system subject to redundant channel and additive time‐varying delays 受冗余信道和加性时变延迟影响的饱和非线性系统的故障检测
IF 3.1 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-12 DOI: 10.1002/acs.3889
Zhihui Wu, Xue Zhao, Siteng Ma, Dongyan Chen
{"title":"Fault detection for saturated nonlinear system subject to redundant channel and additive time‐varying delays","authors":"Zhihui Wu, Xue Zhao, Siteng Ma, Dongyan Chen","doi":"10.1002/acs.3889","DOIUrl":"https://doi.org/10.1002/acs.3889","url":null,"abstract":"Under the influence of sensor saturation and packet dropout, this paper is concerned with the fault detection (FD) problem for a class of nonlinear systems with two additive time‐varying delay components. In the addressed measurement model, the sensor is assumed to have two communication channels, which can contribute to improving the probability of successfully delivering the measurements. A FD filter is designed to generate residual signals, and the sufficient criteria are established to ensure the stochastic finite‐time stability (SFTS) of the residual system with performance constraint by constructing new Lyapunov‐Krasovskii functionals. Based on the established criteria, the explicit expression of the desired FD filter is obtained via solving a set of linear matrix inequalities (LMIs). Finally, the usefulness of the proposed FD scheme is verified by a simulation example.","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221719","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
Identification of fractional Hammerstein systems with the conformable fractional derivative 用保形分数导数识别分数哈默斯坦系统
IF 3.1 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-12 DOI: 10.1002/acs.3894
Zhaoming Zhang, Wen Mi, Wei Xing Zheng
{"title":"Identification of fractional Hammerstein systems with the conformable fractional derivative","authors":"Zhaoming Zhang, Wen Mi, Wei Xing Zheng","doi":"10.1002/acs.3894","DOIUrl":"https://doi.org/10.1002/acs.3894","url":null,"abstract":"SummaryIn this article, we study parameter estimation problems for fractional commensurate Hammerstein systems utilizing the conformable fractional derivative. Two algorithms are investigated: first, the Poisson moment functions (PMF) method, aiming to transfer the fractional derivative of the measurement signal into PMF using the fractional Laplace transform and convolution; second, a proposed new instrumental variable algorithm, which is based on the conformable fractional derivative. Both algorithms have been analyzed and shown to be consistent. A comprehensive complexity analysis is provided for each algorithm. Furthermore, a kind of special time‐varying systems are discussed under the conformable fractional derivative. Finally, an example is given to illustrate the effectiveness of the proposed algorithms.","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221715","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
Event-triggered obstacle avoidance tracking control of quadrotor unmanned aerial vehicle 四旋翼无人飞行器的事件触发避障跟踪控制
IF 3.9 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-09 DOI: 10.1002/acs.3887
Xia Wang, Peng Wu, Yujun Tang, Lei Fu, Aiwen Meng
{"title":"Event-triggered obstacle avoidance tracking control of quadrotor unmanned aerial vehicle","authors":"Xia Wang,&nbsp;Peng Wu,&nbsp;Yujun Tang,&nbsp;Lei Fu,&nbsp;Aiwen Meng","doi":"10.1002/acs.3887","DOIUrl":"10.1002/acs.3887","url":null,"abstract":"<div>\u0000 \u0000 <p>This article addresses the safe tracking control problem of quadrotor unmanned aerial vehicles (QUAV) considering uncertain aerodynamics and unknown external disturbances. First, a robust adaptive backstepping controller is designed, where the bias of the control variable, that is, the tracking error of the attitude subsystem, is considered in the design process of the position subsystem. Meanwhile, the safe obstacle avoidance objective is realized by the quadratic programming (QP) method that combines the tracking controller with the exponential control barrier function (ECBF). Furthermore, an event-triggered mechanism is used for the QP process to conserve computing resources. Simulation validates the feasibility and superiority of the proposed control scheme in presence of multi-obstacle.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923478","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
A Bayesian transfer sparse identification method for nonlinear ARX systems 非线性 ARX 系统的贝叶斯转移稀疏识别方法
IF 3.9 4区 计算机科学
International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-08 DOI: 10.1002/acs.3884
Kang Zhang, Xiaoli Luan, Feng Ding, Fei Liu
{"title":"A Bayesian transfer sparse identification method for nonlinear ARX systems","authors":"Kang Zhang,&nbsp;Xiaoli Luan,&nbsp;Feng Ding,&nbsp;Fei Liu","doi":"10.1002/acs.3884","DOIUrl":"10.1002/acs.3884","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, we design a transfer sparse identification algorithm under the Bayesian framework through introducing other system knowledge into the system to be identified. This method provides a new identification solution for a nonlinear autoregressive model with exogenous inputs (NARX). The estimates of the transferred parameters are calculated by adding the transfer correction term to the un-transferred estimates. To achieve this, a joint prior distribution is devised for the parameters, ultimately enhancing the efficient utilization of existing data, reducing the reliance on new data, and achieving more accurate identification. The maximized marginal likelihood method is used to find the transfer gain and the transfer information matrix in the transfer correction term. Meanwhile, in order to make the algorithm automatically adapt to different data, we design an automatic structure detection method based on the transfer framework. The method automatically determines the sparsity threshold based on the maximum inter-class variance. Two examples are provided to demonstrate the advantages of our algorithm.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141929345","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
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