International Journal of Adaptive Control and Signal Processing最新文献_第5页

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 3.9 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":"10.1002/acs.3889","url":null,"abstract":"<p>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 <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 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.</p>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 11","pages":"3540-3560"},"PeriodicalIF":3.9,"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 3.9 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

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

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, Xiaoli Luan, Feng Ding, 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":"38 10","pages":"3484-3502"},"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

Adaptive quantized tracking control for switched nonlinear systems with hysteresis nonlinearity using a novel predefined-time stability criterion 利用新型预定义时间稳定性准则对具有滞后非线性的开关非线性系统进行自适应量化跟踪控制

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-08 DOI: 10.1002/acs.3886

Ling Jin, Lei Su, Shaoyu Lü, Kang Wang, Jing Wang

{"title":"Adaptive quantized tracking control for switched nonlinear systems with hysteresis nonlinearity using a novel predefined-time stability criterion","authors":"Ling Jin, Lei Su, Shaoyu Lü, Kang Wang, Jing Wang","doi":"10.1002/acs.3886","DOIUrl":"10.1002/acs.3886","url":null,"abstract":"<p>This article investigates the adaptive tracking control problem for switched nonlinear systems with input quantization and hysteresis nonlinearity. First, the hysteresis nonlinear phenomenon is considered and the Bouc–Wen hysteresis model is employed to address the complexities of controller design. Considering the time-sampling mechanism may lead to the wastage of communication resources, a hysteresis quantizer is introduced to address this issue. Additionally, a command filter is constructed to relieve complexity explosion issues encountered during the backstepping process. Subsequently, compared with the conventional predefined-time lemma, a novel predefined-time lemma is proposed which can effectively adjust system performance even if the predefined-time parameter is determined. In this case, a novel adaptive predefined-time control scheme is devised by considering hysteresis properties and input quantization via the application of backstepping, which can track the reference signals within the predefined-time frame. Finally, the flexibility and effectiveness of the proposed strategy are elaborated through numerical and practical examples.</p>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 10","pages":"3503-3517"},"PeriodicalIF":3.9,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927785","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

Spatiotemporal fault estimation for switched nonlinear reaction–diffusion systems via adaptive iterative learning 通过自适应迭代学习对交换式非线性反应扩散系统进行时空故障估计

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-07 DOI: 10.1002/acs.3885

Zenglong Peng, Xiaona Song, Shuai Song, Vladimir Stojanovic

{"title":"Spatiotemporal fault estimation for switched nonlinear reaction–diffusion systems via adaptive iterative learning","authors":"Zenglong Peng, Xiaona Song, Shuai Song, Vladimir Stojanovic","doi":"10.1002/acs.3885","DOIUrl":"10.1002/acs.3885","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, an iterative learning-based spatiotemporal fault estimation issue in switched reaction–diffusion systems is investigated. Initially, average dwell-time switching rules are utilized to describe a class of switched reaction–diffusion systems characterized by mode jumps. Then, different from the existing fault estimation methods, a fault estimator is designed for spatiotemporal faults to realize an accurate estimation of faults by using the iterative learning strategy. Subsequently, to improve the speed of fault estimation, an adaptive iterative learning-based fault estimation law is proposed, which can achieve faster fault estimation by continuously adjusting the iterative learning gain. Moreover, sufficient conditions for the convergence of the fault estimation error are obtained by using the <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>λ</mi>\u0000 </mrow>\u0000 <annotation>$$ lambda $$</annotation>\u0000 </semantics></math>-norm and the mathematical induction methods. Finally, an illustrative example is presented to check the practicality and superiority of the proposed fault estimation scheme.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 10","pages":"3473-3483"},"PeriodicalIF":3.9,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141949022","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 transfer sparse identification method for ARX model ARX 模型的转移稀疏识别方法

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-08-06 DOI: 10.1002/acs.3883

Yuchao Wang, Xiaoli Luan, Kang Zhang, Feng Ding, Fei Liu

引用次数: 0

Consensus of multi-agent system with reaction-diffusion terms and time delays via output-feedback adaptive boundary control 通过输出反馈自适应边界控制实现具有反应扩散项和时间延迟的多代理系统的共识

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-07-29 DOI: 10.1002/acs.3879

Xinglong Wan, Xu Yan, Zhenxing Li, Jianlong Qiu, Chengdong Yang

{"title":"Consensus of multi-agent system with reaction-diffusion terms and time delays via output-feedback adaptive boundary control","authors":"Xinglong Wan, Xu Yan, Zhenxing Li, Jianlong Qiu, Chengdong Yang","doi":"10.1002/acs.3879","DOIUrl":"10.1002/acs.3879","url":null,"abstract":"<div>\u0000 \u0000 <p>Multi-agent systems (MASs) are widely used in many necessary fields such as cybersecurity, precision agriculture, satellites, and smart grids. In many practical processes, a proportion of states cannot be obtained directly. Therefore, it is desired to design an observer. This article explores the utilization of output-feedback adaptive control techniques to achieve consensus in MASs based on partial differential equations (PDEs) with reaction-diffusion terms and time delays. First, in dealing with time-invariant delays, an observer according to the Luenberger method is proposed to assess the state of agents. Convergence conditions of the estimated states are obtained by employing Lyapunov functions and Wirtinger inequality. Using the obtained estimated states, a boundary adaptive control strategy is proposed to make the error system consensus. The merit of this control method lies in the fact that communication between agents only occurs at the spatial boundary position, not throughout the entire spatial domain, and the parameters of the system can be constantly changed. Consensus criteria of MASs with time-invariant delays are obtained by using the output-feedback adaptive control, and the results are further generalized to the model with time-varying delays. Lastly, two experimental scenarios are provided to show the practicality of the proposed theories.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 10","pages":"3361-3380"},"PeriodicalIF":3.9,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141867450","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

Secure dynamic-event-based filtering for descriptor nonhomogeneous Markovian jump cyber-physical systems against hybrid cyber-attacks 针对描述符非均质马尔可夫跃迁网络物理系统的基于动态事件的安全过滤，抵御混合网络攻击

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-07-29 DOI: 10.1002/acs.3882

Yanqian Wang, Shuyu Zhang, Guangming Zhuang, Mingwei Shao

{"title":"Secure dynamic-event-based filtering for descriptor nonhomogeneous Markovian jump cyber-physical systems against hybrid cyber-attacks","authors":"Yanqian Wang, Shuyu Zhang, Guangming Zhuang, Mingwei Shao","doi":"10.1002/acs.3882","DOIUrl":"10.1002/acs.3882","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, the issue of resilient filtering for descriptor nonhomogeneous Markovian jump cyber-physical systems under hybrid cyber-attacks has been studied. First, occurrences of both deception attacks and replay attacks are modeled as two mutually independent Bernoulli distributed random variables. To depress the ratio of sampled data transmissions over the network, the dynamic version of event-triggered transmission policy is properly proposed. Then, criteria of stochastically admissible for the filtering error systems guaranteeing mixed <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> and passive performance are addressed via linear matrix inequalities (LMIs). The gains of resilient filter and the dynamic event-based transmission policy can be simultaneously gained by optimizing the LMIs. Finally, two examples that include a numerical example and a direct current motor system are provided to testify the feasibility and effectiveness of the developed technique.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 10","pages":"3422-3455"},"PeriodicalIF":3.9,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141867451","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

Auxiliary model-based recursive least squares and stochastic gradient algorithms and convergence analysis for feedback nonlinear output-error systems 基于模型的辅助递归最小二乘法和随机梯度算法以及反馈非线性输出误差系统的收敛性分析

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-07-29 DOI: 10.1002/acs.3874

Guangqin Miao, Dan Yang, Feng Ding

引用次数: 0