IEEE Transactions on Systems Man Cybernetics-Systems最新文献_第4页

Switching Event-Triggered-Based Gain-Scheduled Control for Bipartite Synchronization of Coupled Coopetitive Memristive Neural Networks 基于切换事件触发的耦合竞争记忆神经网络二部同步增益调度控制

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-08-19 DOI: 10.1109/TSMC.2025.3594542

Zhen Wang;Lisha Yan;Yingjie Fan;Fang Wang;Hao Shen

{"title":"Switching Event-Triggered-Based Gain-Scheduled Control for Bipartite Synchronization of Coupled Coopetitive Memristive Neural Networks","authors":"Zhen Wang;Lisha Yan;Yingjie Fan;Fang Wang;Hao Shen","doi":"10.1109/TSMC.2025.3594542","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3594542","url":null,"abstract":"This article investigates the problem of bipartite synchronization (BS) for coupled coopetitive memristive neural networks (MNNs) using a switching event-triggered gain-scheduled control strategy. First, a mathematical model of coupled MNNs exhibiting both cooperative and competitive interactions is formulated based on directed signed graph theory. To handle the antagonistic nature of these interactions, an orthogonal transformation is employed to develop a formally unified error system. Then, a switching event-triggered scheme (SETS) is designed, which leverages the coopetitive relationships among nodes to reduce communication costs. Meanwhile, a gain-scheduled controller, which incorporates the cooperative-competitive relationships is designed to achieve the BS. Specifically, the controller consists of both linear and nonlinear components: the linear component ensures system stability, while the nonlinear component compensates for residual terms arising from the heterogeneous structure of MNNs. Furthermore, the nonlinear control gains are scheduled via a function that depends on the error state, its derivative, and the sampled error, thereby reducing the conservatism of the synchronization conditions. A piecewise interval-dependent Lyapunov functional tailored to the characteristics of SETS is constructed. By employing inequality techniques, sufficient conditions for BS are derived in the form of linear matrix inequalities (LMIs), enabling the joint design of the linear control gains and the triggering matrix. To validate the proposed method, both a numerical example and a potential practical application are provided. In addition, two comparative studies are conducted to highlight the advantages of the proposed SETS and the interval-dependent Lyapunov functional, respectively.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6951-6963"},"PeriodicalIF":8.7,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors IEEE系统、人与控制论汇刊：作者的系统信息

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-08-19 DOI: 10.1109/TSMC.2025.3594812

引用次数: 0

UKF-Based Multistep Heuristic Dynamic Programming for Optimal Event-Triggering Control of Nonlinear Systems With Asymmetric Input Constraints 非对称输入约束非线性系统最优事件触发控制的多步启发式动态规划

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-08-19 DOI: 10.1109/TSMC.2025.3594379

Kun Zhang;Ning Liu;Xiangpeng Xie;Ding Wang

引用次数: 0

Output-Feedback Safe Tracking Control for Nonlinear Systems With Sensor Faults via Adaptive Critic Learning 基于自适应批评学习的非线性传感器故障系统输出反馈安全跟踪控制

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-08-15 DOI: 10.1109/TSMC.2025.3594500

Hongbing Xia;Chaoxu Mu;Changyin Sun

{"title":"Output-Feedback Safe Tracking Control for Nonlinear Systems With Sensor Faults via Adaptive Critic Learning","authors":"Hongbing Xia;Chaoxu Mu;Changyin Sun","doi":"10.1109/TSMC.2025.3594500","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3594500","url":null,"abstract":"An output-feedback safe tracking control (OFSTC) scheme is investigated for nonlinear systems with sensor faults based on adaptive critic learning algorithm. By introducing a first-order filter, a mapping relationship between sensor faults and actuator faults is established, and an augmented system is constructed by integrating system state and filter output. Through the incorporation of robust adaptive terms, an output-based fault observer is developed to online identify sensor fault information, ensuring that observation errors converge asymptotically to zero. For optimal STC realization, an augmented tracking system is constructed by integrating the dynamics of tracking error, reference trajectory, and filter output. A modified cost function is designed to explicitly include sensor fault estimation and a discount factor based on the augmented tracking system. Then, the optimal STC strategy is derived by solving the Hamilton–Jacobi–Bellman equation using an adaptive critic structure with two tuned laws cooperatively. The application of the Lyapunov stability theorem demonstrates that the closed-loop system converges within a small neighborhood of the equilibrium point. Simulation results indicate the effectiveness of the proposed OFSTC method.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6975-6985"},"PeriodicalIF":8.7,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Dissipativity Analysis and Bumpless Transfer Control for Synchronization of Switched Delayed Neural Networks: A Modified Combined Switching Approach 切换延迟神经网络同步的耗散分析与无碰撞传递控制：一种改进的组合切换方法

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-08-15 DOI: 10.1109/TSMC.2025.3593877

Hong Sang;Fang Li;Shuaibing Zhu;Hong Nie;Jun Fu

{"title":"Dissipativity Analysis and Bumpless Transfer Control for Synchronization of Switched Delayed Neural Networks: A Modified Combined Switching Approach","authors":"Hong Sang;Fang Li;Shuaibing Zhu;Hong Nie;Jun Fu","doi":"10.1109/TSMC.2025.3593877","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3593877","url":null,"abstract":"This investigation mainly focuses on the dissipativity analysis and bumpless transfer synchronization issue for switched delayed neural networks (SDNNs). To effectively leverage the past information of system states, a modified combined switching approach is creatively established, which offers a less conservative framework for the dissipativity analysis of SDNNs. By constructing a new time-dependent multiple Lyapunov–Krasovskii functional (TDMLF), sufficient conditions are then developed to ensure the strict <inline-formula> <tex-math>$(mathscr {X}_{1}, mathscr {X}_{2},mathscr {X}_{3})$ </tex-math></inline-formula>-<inline-formula> <tex-math>$gamma $ </tex-math></inline-formula> dissipativity for the considered SDNNs, even in cases where all subnetworks are nondissipative. Subsequently, the proposed approach is implemented for the synchronization of SDNNs, where a bumpless transfer proportional-integral-like (PI-like) control approach is first adopted. In addition, the corresponding criterion is also proposed, which guarantees that the resultant closed-loop synchronization error systems (SESs) not only satisfy strict dissipativity but also achieve a certain bumpless transfer performance (BTP). Ultimately, the practicability and superiority of the proposed design approach are thoroughly substantiated through two simulation examples.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6913-6924"},"PeriodicalIF":8.7,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Cluster Synchronization for Stochastic Coupling Delay Complex Networks via Event-Triggered Impulsive Control With Actuation Delay 基于事件触发脉冲控制的随机耦合延迟复杂网络集群同步

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-08-15 DOI: 10.1109/TSMC.2025.3595086

Mengzhuo Luo;Zhengli Liu;Jun Cheng;Huaicheng Yan

引用次数: 0

Hessian-Free Fixed-/Predefined-Time Algorithms for Distributed Time-Varying Optimization 分布式时变优化的无hessian固定/预定义时间算法

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-08-14 DOI: 10.1109/TSMC.2025.3593476

Zeng-Di Zhou;Ge Guo;Renyongkang Zhang

引用次数: 0

Fuzzy Adaptive Command Filtered Control of Strict-Feedback Fractional-Order Nonlinear Systems With State and Input Quantization 具有状态量化和输入量化的严格反馈分数阶非线性系统的模糊自适应命令滤波控制

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-08-13 DOI: 10.1109/TSMC.2025.3593351

Zhiyao Ma;Ke Sun;Shaocheng Tong

{"title":"Fuzzy Adaptive Command Filtered Control of Strict-Feedback Fractional-Order Nonlinear Systems With State and Input Quantization","authors":"Zhiyao Ma;Ke Sun;Shaocheng Tong","doi":"10.1109/TSMC.2025.3593351","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3593351","url":null,"abstract":"An adaptive fuzzy command filtering backstepping technique is given for strict-feedback fractional-order uncertain nonlinear systems. The controlled system includes unknown nonlinear functions, as well as state and input quantization. Considering fractional-order nonlinear systems that do not satisfy matching conditions, unknown nonlinear functions are approximated by fuzzy logic systems, and a sector bounded quantizer is used to quantify all input and state variables. During the plan process, command filtering backstepping scheme is used to avoid the use of nonsmooth states. Subsequently, in order to ensure the boundedness of a series of errors caused by continuous original states for stability analysis and discontinuous quantization states for control, a sufficiently smooth fractional-order projection operator is proposed. In addition, the fractional-order uniformly bounded criterion has been established and strictly proven, which solves the problem of uniformly bounded error signals in the fractional-order sense under the premise of known parameter boundedness. Thus, the boundedness of all closed-loop signals is ensured by the fractional-order uniformly bounded criterion. Finally, the simulation results have confirmed the efficacy of the method.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6879-6889"},"PeriodicalIF":8.7,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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H∞Delay Filters Design for Linear Time-Varying Delay Systems in the Finite Frequency Domain: An Input-Output Approach 有限频域线性时变延迟系统的H∞延迟滤波器设计：一种输入-输出方法

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-30 DOI: 10.1109/TSMC.2025.3586786

El Aiss Hicham;Zoulagh Taha;El Haiek Badreddine;Karina A. Barbosa;El Hajjaji Ahmed

{"title":"H∞Delay Filters Design for Linear Time-Varying Delay Systems in the Finite Frequency Domain: An Input-Output Approach","authors":"El Aiss Hicham;Zoulagh Taha;El Haiek Badreddine;Karina A. Barbosa;El Hajjaji Ahmed","doi":"10.1109/TSMC.2025.3586786","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3586786","url":null,"abstract":"This work focuses on the <inline-formula> <tex-math>$H_{infty }$ </tex-math></inline-formula> filtering problem for linear time-varying delay systems. A new delay-dependent condition, equivalent to the <inline-formula> <tex-math>$H_{infty }$ </tex-math></inline-formula> inequality within a finite frequency range, has been established. A delay filter system is proposed to estimate the system’s output, aiming to minimize the impact of exogenous inputs on the outputs. The proposed methodology captures <inline-formula> <tex-math>$H_{infty }$ </tex-math></inline-formula> performance within a finite frequency range while maintaining input-output stability by employing a two-term approximation model and the Lyapunov–Krasovskii functional. The innovation lies in addressing the limitations of existing <inline-formula> <tex-math>$H_{infty }$ </tex-math></inline-formula> criteria, through a delay-dependent condition based on an input-output approach. The derived conditions are formulated as linear matrix inequalities. Numerical examples are provided to validate and illustrate the effectiveness of the proposed method, demonstrating its superiority over existing approaches in the literature.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6857-6867"},"PeriodicalIF":8.7,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Data-Knowledge-Driven Integrated Optimal Control for Multitime Scale Nonlinear Systems 多时间尺度非线性系统的数据-知识驱动集成最优控制

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-29 DOI: 10.1109/TSMC.2025.3577763

Honggui Han;Yue Zhang;Hao-Yuan Sun;Zheng Liu;Junfei Qiao

{"title":"Data-Knowledge-Driven Integrated Optimal Control for Multitime Scale Nonlinear Systems","authors":"Honggui Han;Yue Zhang;Hao-Yuan Sun;Zheng Liu;Junfei Qiao","doi":"10.1109/TSMC.2025.3577763","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3577763","url":null,"abstract":"In industrial processes, the optimization and control processes operate on different time scales. Neglecting the multitime scale characteristics can lead to an optimized control law that fails to guarantee the control performance of the controlled nonlinear system. To address this problem, a data-knowledge-driven multitime scale integrated optimal control (DK-MTSIOC) strategy is proposed for the nonlinear system in this article. First, a multitime scale integrated optimal control (MTSIOC) framework, including a time scale collaborative objective function, is established. Then, multitime scales of nonlinear systems are coordinated to the fast time scale to ensure real-time optimization and control. Second, to address the problem of low accuracy in predicting fast time scale model driven by the slow time scale data information, a data-knowledge-driven prediction model is introduced to predict the future dynamics of the system at the fast time scale. Furthermore, a knowledge compensation strategy is designed to supplement missing fast time scale specific information. Third, a collaborative optimization algorithm is utilized to solve the setpoints and control laws simultaneously. Besides, the convergence of the data and knowledge-driven prediction model and stability of DK-MTSIOC are proved. Finally, the proposed DK-MTSIOC is tested on a conventional nonlinear system and a benchmark example of the wastewater treatment process to validate its effectiveness.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6435-6449"},"PeriodicalIF":8.7,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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