International Journal of Adaptive Control and Signal Processing最新文献

{"title":"Aperiodic Intermittent Dynamic Event-Triggered Leader-Following Consensus of Nonlinear MASs Under Semi-Markov Switching Topologies","authors":"Haiyang Zhang,&nbsp;Deran Ma,&nbsp;Lianglin Xiong,&nbsp;Tao Wu,&nbsp;Xiaoman Liu,&nbsp;Zhang Yi","doi":"10.1002/acs.70072","DOIUrl":"https://doi.org/10.1002/acs.70072","url":null,"abstract":"<div>\u0000 \u0000 <p>This article investigates the mean-squared leader-following consensus problem of nonlinear multi-agent systems under semi-Markov switching topologies. By integrating the merits of three advanced control approaches, a novel aperiodic intermittent dynamic event-triggered mechanism is developed to further save network resources. Moreover, the developed mechanism is only executed during the working interval of each intermittent period, and the communication instants are determined by a predefined discrete triggering condition, while the internal dynamic variable can be adjusted adaptively with random sampling signals. By fully taking the information of semi-Markov switching parameters, virtual delay, and internal dynamic variables into account, a general Lyapunov functional is constructed to depict the dynamical evaluation of systems. Then, two less-conservative consensus criteria are derived by virtue of the developed control mechanism, the general Lyapunov functional, and other analysis methods. In the end, two numerical examples are provided to demonstrate the effectiveness of our approach in reducing the waste of network resources.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 6","pages":"1321-1336"},"PeriodicalIF":3.8,"publicationDate":"2026-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148194087","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":"A Novel Dual-Chamber Microbial Fuel Cell Model and Its Fixed-Time Sliding Mode Controller","authors":"Fengying Ma,&nbsp;Jiahao Sun,&nbsp;Baolong Zhu,&nbsp;Fangfang Zhang,&nbsp;Chao Zhang,&nbsp;Peng Ji","doi":"10.1002/acs.70066","DOIUrl":"https://doi.org/10.1002/acs.70066","url":null,"abstract":"<div>\u0000 \u0000 <p>Microbial fuel cells (MFCs) have received extensive attention in recent years as a new source of wastewater treatment. This paper aims to address the limitations of slow convergence rates and excessive overshoot in existing controllers by introducing a novel control strategy to attain rapid and stable convergence performances. Firstly, a control-oriented parameterized model for a dual-chamber system is established to address the limitations of low electricity generation and slow convergence of system state variables in single-chamber models. Then, a sliding mode controller with a novel reaching law is designed, and its fixed-time stability is proven by using Lyapunov stability theory. A principal advantage of this methodology resides in its convergence rate being unaffected by initialization states. Finally, an improved chaos game optimization algorithm is introduced to tune the controller parameters, ensuring acquisition of optimum parameter combinations within designated boundaries. Numerical simulations validate the model's reliability and the fixed-time sliding mode control scheme exhibits superior performance compared with the alternative algorithms concerning convergence rapidity, overshoot suppression, and steady-state precision. The dual-chamber model and fixed-time sliding mode controller provide technical support for further applications of MFCs in wastewater treatment.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 6","pages":"1262-1278"},"PeriodicalIF":3.8,"publicationDate":"2026-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148193965","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 Fixed-Time Event-Triggered Fault-Tolerant Consensus for Switched Nonlinear Multi-Agent Systems With Actuator Failures","authors":"Xingli He,&nbsp;Yujing Yan,&nbsp;Shi Li","doi":"10.1002/acs.70068","DOIUrl":"https://doi.org/10.1002/acs.70068","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, for switched nonlinear multi-agent systems (NMASs) under directed graphs, a fixed-time (FT) adaptive event-triggered (ET) fault-tolerant consensus problem is studied. In the considered system, the switching signals of each agent are allowed to be arbitrary and asynchronous. To achieve the consensus errors are bounded within a fixed time, a new FT adaptive ET fault-tolerant control scheme is designed. During the construct process of the control scheme, the unknown functions are approximated by fuzzy logic systems (FLSs), and distributed controllers, as well as a dynamic memory event-triggering mechanism (DMETM), are designed to save communication resources (CRs). It is proven that consensus errors of the system are bounded within a fixed time, and the Zeno phenomenon does not exist. Finally, the effectiveness of the proposed consensus protocol is verified through simulation results.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 6","pages":"1279-1291"},"PeriodicalIF":3.8,"publicationDate":"2026-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148194053","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 5","pages":""},"PeriodicalIF":3.8,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148065436","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 4","pages":""},"PeriodicalIF":3.8,"publicationDate":"2026-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148076033","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 Control for Nonlinear Systems With Input and Output Quantization Under DoS Attacks","authors":"Xin Xie,&nbsp;Fang Wang","doi":"10.1002/acs.70004","DOIUrl":"https://doi.org/10.1002/acs.70004","url":null,"abstract":"<div>\u0000 \u0000 <p>Under intermittent cyber attacks, an adaptive control strategy has been proposed for a class of nonlinear systems with input and output quantization. Unlike existing studies on denial-of-service attacks (DoS), the system dynamics in this paper are unknown. Since the system dynamics are unknown and both input and output signals are affected by DoS attacks, system variables are not directly observable. To address this issue, a fuzzy observer with switchable gains is proposed. In contrast to conventional DoS attacks research, both input and output signals in this work are quantized prior to transmission, rendering traditional backstepping control methods inapplicable. To solve this problem, the following steps are proposed: Firstly, an auxiliary intermediate controller is designed using the unquantized states. Secondly, by replacing the unquantized states with quantized states in the auxiliary intermediate controller, the intermediate controller and the actual controller are obtained. Thirdly, to compensate for the impact of quantization errors, Lemma 4 is introduced, and the control strategies are first proposed to guarantee the stability of the nonlinear system in the presence of DoS attacks. Furthermore, simulation results are presented to demonstrate the efficiency of the proposed control method.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 3","pages":"470-485"},"PeriodicalIF":3.8,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147568496","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":"A Neural Network-Based Adaptive Event-Triggered Control for Virtual Coupling High-Speed Trains With Unknown Parameters","authors":"Hui Zhao,&nbsp;Hanhong Cui,&nbsp;Xuewu Dai,&nbsp;Yuan Zhao","doi":"10.1002/acs.70010","DOIUrl":"https://doi.org/10.1002/acs.70010","url":null,"abstract":"<div>\u0000 \u0000 <p>To cope with the effects of unknown resistance parameters, additional resistance, and high-frequency controller updating in the cooperation control of virtual-coupling high-speed train systems, this paper proposes a neural network-based adaptive event-triggered control scheme for trains. Firstly, with the train-to-train communication mode, a synthetic tracking error and its converted form are proposed to restrain the speed and position errors of trains based on the train model. Then, for the unknown resistance parameters and bounded additional resistance, a radial basis function neural network (RBFNN) based adaptive control scheme is investigated to realize the cooperative operation of trains. By incorporating the event-triggered mechanism, the communication source between the controller and actuator can be saved by reducing unnecessary controller updating. In addition, the stability condition of virtual coupling train systems is presented by the convergence analysis of the synthetic tracking error. Finally, simulation experiments are conducted to verify that the control scheme is able to realize cooperation of virtual coupling train systems in the presence of unknown parameters.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 3","pages":"522-533"},"PeriodicalIF":3.8,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147568506","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":"Hopfield Neural Networks for Online Constrained Parameter Estimation With Time-Varying Dynamics and Disturbances","authors":"Miguel Pedro Silva","doi":"10.1002/acs.70011","DOIUrl":"https://doi.org/10.1002/acs.70011","url":null,"abstract":"<p>This paper proposes two projector-based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time-varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint-aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the constrained least-squares target. The second augments the state with compensation neurons and a concatenated regressor to absorb bias-like disturbance components within the same energy function. For both estimators, we establish global uniform ultimate boundedness with explicit convergence rate and ultimate bound, and we derive practical tuning rules that link the three design gains to closed-loop bandwidth and steady-state accuracy. We also introduce an online identifiability monitor that adapts the constraint weight and time step, and, when needed, projects updates onto identifiable subspaces to prevent drift in poorly excited directions. A two-degree-of-freedom mass-spring-damper study with Monte Carlo trials compares the proposed HNN estimators against projector-based recursive least squares, disturbance-aware projector-based Kalman filtering, and disturbance-aware projector-based moving-horizon estimation. The HNN estimators achieve competitive or superior accuracy with zero constraint violations, reduced disturbance-induced bias (especially with compensation), and low per-step computational cost suitable for high-rate deployment.</p>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 3","pages":"544-564"},"PeriodicalIF":3.8,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acs.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147570315","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":"Robust Fault \u0000 \u0000 \u0000 \u0000 \u0000 H\u0000 \u0000 \u0000 ∞\u0000 \u0000 \u0000 \u0000 $$ {H}_{infty } $$\u0000 Filtering Design in Finite Frequency Domain for Discrete-Time Switched Singular Systems","authors":"Khalid Saidi,&nbsp;El Houssaine Tissir,&nbsp;Noreddine Chaibi","doi":"10.1002/acs.70015","DOIUrl":"https://doi.org/10.1002/acs.70015","url":null,"abstract":"<div>\u0000 \u0000 <p>The present paper focuses on 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> filtering problem for a class of discrete-time switched singular (SS) systems with faults and finite frequency (FF) input signals under an arbitrary switching signal. The frequencies of the unknown input disturbance are assumed to be in a finite range. The objective is to design a linear mode-dependent filter guaranteeing the asymptotic stability of the filtering error system with a prescribed <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 bound in an FF range. Based on the generalized Kalman-Yakubovic-Popov lemma, multiple Lyapunov–Krasovskii functional, and some free weighting matrices are used to provide an additional degree of freedom. Efficient conditions are formulated in terms of linear matrix inequalities. The proposed method is designed in the FF domain to reduce the conservativeness generated by those designed in the entire frequency (EF) domain. Finally, numerical examples are provided to illustrate the advantages and the effectiveness of the proposed approach.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 3","pages":"653-673"},"PeriodicalIF":3.8,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147562673","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 Dynamic Surface Fuzzy Tracking Control for Nonlinear Systems With Predefined Time and Error Accuracy","authors":"Guodong You,&nbsp;Xingyun Li,&nbsp;Hailong Zhang,&nbsp;Lu Liu","doi":"10.1002/acs.70007","DOIUrl":"https://doi.org/10.1002/acs.70007","url":null,"abstract":"<div>\u0000 \u0000 <p>A class of strict feedback control systems containing external disturbances is studied, and an adaptive dynamic surface fuzzy tracking control strategy with predefined time and error accuracy is proposed. Firstly, the dynamic surface control is used to solve the computational complexity problem; secondly, the fuzzy logic technique and Young's inequality are used to derive the upper bound containing the unknown nonlinear function and the external disturbance, Then, the first-order nonlinear filter is combined with the adaptive technique, and according to the Lyapunov stability theorem, it is rigorously proved that the proposed predefined time controller can converge the output error to the origin within the predefined time within a small neighborhood near the origin. Finally, the effectiveness of the proposed method in this paper is verified by simulation examples.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"40 3","pages":"486-498"},"PeriodicalIF":3.8,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147568914","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}