International Journal of Adaptive Control and Signal Processing最新文献

Sensor Fault Detection and Isolation in Multi-Agent Systems 多智能体系统中的传感器故障检测与隔离

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-04-21 DOI: 10.1002/acs.3984

Kaustav Jyoti Borah

引用次数: 0

Command Filter Based Adaptive Fuzzy Control of Uncertain Deferred Constrained Nonlinear Systems With Actuator Fault and Dead Zone 带有执行器故障和死区的不确定时滞约束非线性系统的命令滤波自适应模糊控制

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-03-26 DOI: 10.1002/acs.3995

Guodong You, Hailong Zhang

{"title":"Command Filter Based Adaptive Fuzzy Control of Uncertain Deferred Constrained Nonlinear Systems With Actuator Fault and Dead Zone","authors":"Guodong You, Hailong Zhang","doi":"10.1002/acs.3995","DOIUrl":"https://doi.org/10.1002/acs.3995","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, the adaptive fuzzy fault-tolerant control (FTC) issue of a class of nonstrict feedback uncertain nonlinear systems with deferred asymmetric time-varying (DATV) full-state constraints, dead zone, actuator fault, unknown control directions and disturbances is discussed. To eliminate the restriction that the initial states of the system must be within the constraints, a new deferred constrained (DC) function is devised to prevail over the conservatism of time-varying asymmetric constraints (TVAC). To achieve state constraints and simplify design, a model transformation is formulated to transform constrained system into unrestricted system. The fuzzy logic systems (FLSs) are employed to approximate the uncertain nonlinear function. To handle “explosion of complexity” (EOC), the command filter is introduced to substitute the derivatives of the control laws. To tackle actuator fault, dead zone and unknown control directions, a FTC scheme is formulated using backstepping method and the Nussbaum-type function. Furthermore, it is theoretically proven that the formulated control method can ensure that all signals in system are bounded and the tracking error converges to a small neighborhood including the origin in a finite time. The reliability of the formulated control scheme is demonstrated by the simulation result of the robot manipulator system.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 5","pages":"1100-1113"},"PeriodicalIF":3.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914661","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

Non-Fragile Saturation Controller for Fractional-Order Permanent Magnet Synchronous Generator With Fuzzy Quantized Mechanism 基于模糊量化机构的分数阶永磁同步发电机非脆弱饱和控制器

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-03-25 DOI: 10.1002/acs.3991

Chendrayan Dineshkumar, Jae Hoon Jeong, Young Hoon Joo

{"title":"Non-Fragile Saturation Controller for Fractional-Order Permanent Magnet Synchronous Generator With Fuzzy Quantized Mechanism","authors":"Chendrayan Dineshkumar, Jae Hoon Jeong, Young Hoon Joo","doi":"10.1002/acs.3991","DOIUrl":"https://doi.org/10.1002/acs.3991","url":null,"abstract":"<div>\u0000 \u0000 <p>The main objective of this study is to develop a non-fragile saturation controller for a fractional-order (FO) permanent magnet synchronous generator (PMSG) and utilize a fuzzy quantized mechanism. To this end, first, fractional-order control is introduced into the non-linear PMSG model to improve the convergence rate beyond the existing integer-order control techniques. Next, the non-linear PMSG model is converted to linear sub-models using the Takagi-Sugeno (T-S) fuzzy method. Utilizing refined sector conditions, we conduct a theoretical analysis of the Mittag-Leffler (M-L) stabilization for the resultant closed-loop systems. This analysis employs certain inequality techniques applied to the M-L function and FO Lyapunov theory. Moreover, based on the polytopic representation approach, sufficient conditions ensuring M-L stabilization are established by a closed-loop system. Furthermore, we have devised two separate convex optimization approaches to effectively reduce the actuator costs and expand the admissible initial region (AIR). Finally, the method proposed in this study demonstrates the superiority and efficiency of the derived results.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 5","pages":"1048-1063"},"PeriodicalIF":3.9,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914701","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 Fuzzy Fixed-Time Control for Uncertain Non-Linear Systems Based on Complexity Avoidance and a Reduced Order State Observer 基于复杂性回避和降阶状态观测器的不确定非线性系统自适应模糊定时控制

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-03-12 DOI: 10.1002/acs.3996

Siwen Liu, Yi Zuo, Yang Xiao, Huanqing Wang, Tieshan Li

引用次数: 0

Robust Adaptive Optimal Tracking Switching Control of Nonlinear Systems Using Embedding Transformation and Approximate Dynamic Programming 基于嵌入变换和近似动态规划的非线性系统鲁棒自适应最优跟踪切换控制

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-03-11 DOI: 10.1002/acs.3993

Weizhe Wang, Yue Fu

引用次数: 0

Exponentially Decaying Memory Recovery Feedback Controller Design for Quasi-Synchronization of Complex-Valued Discrete-Time Neural Networks 复值离散神经网络准同步的指数衰减记忆恢复反馈控制器设计

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-03-05 DOI: 10.1002/acs.3992

K. Sri Raja Priyanka, G. Nagamani

引用次数: 0

Classification of Inter-Turn Insulation Faults in Three-Phase Induction Motors and Optimum Detection Using GJO-GBDT Method 三相异步电动机匝间绝缘故障分类及GJO-GBDT方法优化检测

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-03-03 DOI: 10.1002/acs.3985

Rajan Babu Williams, Sathesh Kumar Thirumalai Samy, Mathankumar Manoharan, Pragaspathy Subramani

{"title":"Classification of Inter-Turn Insulation Faults in Three-Phase Induction Motors and Optimum Detection Using GJO-GBDT Method","authors":"Rajan Babu Williams, Sathesh Kumar Thirumalai Samy, Mathankumar Manoharan, Pragaspathy Subramani","doi":"10.1002/acs.3985","DOIUrl":"https://doi.org/10.1002/acs.3985","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper proposes a hybrid technique to optimally detect and classify inter-turn insulation faults in three-phase induction motors (IMs). The proposed strategy is the novel integration of Golden Jackal Optimization and Gradient Boosting Decision Tree and is termed as GJO-GBDT system. Using the proposed simulation platform, the client-characterized framework is described in order to gather the required error training dataset. Using the GJO, the number of features is decreased and the most significant characteristics from the dataset are selected. The motor's health is determined using the GBDT method. The primary objective is to detect faults and improve the motor's life. MATLAB is used to implement the proposed technique, and its performance is compared to the existing approach. Compared to the existing techniques under 100 trials, the proposed strategy hasalower Root Mean Square Error (RMSE) of 12.2, Mean Absolute Percentage Error (MAPE) of 2, Mean Bias Error (MBE) of 1.6, and consumption time of 4.2 min.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 5","pages":"965-981"},"PeriodicalIF":3.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914357","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

Design of Robust Tracking and Disturbance Attenuation Control for Vehicle Lateral Systems: A Modified Equivalent Input Disturbance Approach 车辆横向系统鲁棒跟踪与扰动衰减控制设计：一种改进的等效输入扰动方法

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-02-28 DOI: 10.1002/acs.3990

S. Mohanapriya, A. Dhavasumani, C. Antony Crispin Sweety, T. Satheesh, R. Sakthivel

{"title":"Design of Robust Tracking and Disturbance Attenuation Control for Vehicle Lateral Systems: A Modified Equivalent Input Disturbance Approach","authors":"S. Mohanapriya, A. Dhavasumani, C. Antony Crispin Sweety, T. Satheesh, R. Sakthivel","doi":"10.1002/acs.3990","DOIUrl":"https://doi.org/10.1002/acs.3990","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, a unified input delay and disturbance compensation issue has been addressed for vehicle lateral systems. Specifically, by compensating for the input delay and disturbances in the addressed system, the intended tracking performance is achieved. Moreover, a modified higher-order equivalent-input-disturbance approach is developed in light of the Majhi-Atherton modified Smith predictor technique, which aids in estimating the disturbances in the system model. In particular, the developed technique integrates the transfer function into the conventional Smith predictor block, so accurate disturbance estimation with the desired input delay compensation is guaranteed. Subsequently, sufficient criteria are formulated in the frame of linear matrix inequalities to affirm the desired tracking performance. Further, the generated linear matrix inequalities are solved to obtain the required gain matrices. In the end, the efficacy and superiority of the suggested control approach are ultimately verified through the simulation analysis for the considered numerical example.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 5","pages":"1036-1047"},"PeriodicalIF":3.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914731","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

Application of an Improved Adaptive Unscented Kalman Filter in Vehicle Driving State Parameter Estimation 改进的自适应无气味卡尔曼滤波在车辆行驶状态参数估计中的应用

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-02-25 DOI: 10.1002/acs.3989

Luxia Yang, Xingliang Lin, Yilin Hou, JiaLe Ren, Mengran Wang

{"title":"Application of an Improved Adaptive Unscented Kalman Filter in Vehicle Driving State Parameter Estimation","authors":"Luxia Yang, Xingliang Lin, Yilin Hou, JiaLe Ren, Mengran Wang","doi":"10.1002/acs.3989","DOIUrl":"https://doi.org/10.1002/acs.3989","url":null,"abstract":"<div>\u0000 \u0000 <p>In the research of estimating vehicle driving state parameters, the combination measurement unit of Global Navigation Satellite System and Inertial Navigation System (GNSS/INS) often faces challenges such as inaccurate models and reduced accuracy and robustness due to noise effects. To address these issues, this article applied characteristics of the state equation's innovation vector following a Gaussian distribution and the detection function following a Chi-square distribution. First, the properties of normal distribution are utilized to adaptively set the threshold value of the detection function to identify outliers in the measurement data. Subsequently, a novel adaptive unscented Kalman filter with Chi-square test (CAUKF) is designed, based on the adaptive window weight allocation and <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>Z</mi>\u0000 </mrow>\u0000 <annotation>$$ Z $$</annotation>\u0000 </semantics></math>-score normalization, to correct abnormal data that do not conform to the characteristics of the innovation vector. Finally, comparative experiments on various algorithms are conducted using real-world data in terms of accuracy and robustness, and the results are analyzed in practical vehicle applications. The experimental results demonstrate that, without introducing noise errors in the target system, CAUKF exhibits superior accuracy compared to other algorithms. Moreover, in the testing of data contaminated with noise, CAUKF shows sensitivity to outlier data while ensuring rapid recovery of abnormal data without affecting data characteristics or calculating measurement noise characteristics. In summary, the CAUKF method effectively enhances the accuracy and robustness of the system.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 5","pages":"1021-1035"},"PeriodicalIF":3.9,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914742","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

Unified Observer Design Framework for Time-Varying Systems With Delays and Parameter Uncertainty 具有时滞和参数不确定性时变系统的统一观测器设计框架

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-02-25 DOI: 10.1002/acs.3987

A. Bouklata, C. Abdelaali, A. Brouri, F. Z. Chaoui, F. Giri

{"title":"Unified Observer Design Framework for Time-Varying Systems With Delays and Parameter Uncertainty","authors":"A. Bouklata, C. Abdelaali, A. Brouri, F. Z. Chaoui, F. Giri","doi":"10.1002/acs.3987","DOIUrl":"https://doi.org/10.1002/acs.3987","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper presents a unified framework for designing observers for time-varying systems with time delays and parameter uncertainties. The considered delays are discrete and distributed nature, entering both the state and output equations. Parameter uncertainties also come in both equations. Doing so, the present system formulation turns out to be a generalization of existing works. The problem of observer design is dealt by using an approach that combines a Kalman-like design for time-varying systems and a decoupling transformation that makes state estimator design decoupled from parameter estimator design. The adaptive observer obtained this way contains a (Kalman-like) state estimator, a parameter estimator, and an auxiliary filter. In the case where the output equation is subject only to discrete delay, we design an adaptive observer that includes, in addition to the previous components, an output predictor that allows to better compensates for the delay effect. Both observers are shown to be exponentially stable under well-defined conditions ensuring system observability and persistent excitation (PE). In the absence of distributed output delay, the predictor-based observer accommodates much larger delays, compared to the predictor-free observer.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 5","pages":"1004-1020"},"PeriodicalIF":3.9,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914767","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