IET Control Theory and Applications最新文献_第3页

Extended Dissipativity Analysis and Synthesis for Discrete-Time Lur'e Delayed Systems: Matrix-Separation-Based Lyapunov Functional Method 离散Lur'e延迟系统的扩展耗散分析与综合：基于矩阵分离的Lyapunov泛函方法

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-05-10 DOI: 10.1049/cth2.70035

Ke-You Xie, Sangmoon Lee, Chuan-Ke Zhang, Li Jin, Yajuan Liu, Yong He

{"title":"Extended Dissipativity Analysis and Synthesis for Discrete-Time Lur'e Delayed Systems: Matrix-Separation-Based Lyapunov Functional Method","authors":"Ke-You Xie, Sangmoon Lee, Chuan-Ke Zhang, Li Jin, Yajuan Liu, Yong He","doi":"10.1049/cth2.70035","DOIUrl":"https://doi.org/10.1049/cth2.70035","url":null,"abstract":"This paper develops a matrix-separation-based Lyapunov functional method to study the extended dissipativity analysis and synthesis issue of discrete-time Lur'e-type delayed systems. The advanced idea of matrix-separation is reflected in Lyapunov functional candidates and estimates summation terms as precisely as feasible. First, we introduce a novel summation inequality based on the matrix-separation method to provide a bound for the augmented summation that involves common state variables. An improved delay-product-type Lyapunov functional is devised by extending non-positive definite summations as separate subblocks of the state-augmented summation. Then, by using the matrix injection method to handle the cubic delay term in the functional forward difference, a delay-variation-dependent stability criterion and an extended dissipativity criterion are developed under the matrix-separation-based method. Subsequently, sufficient conditions for the control design of Lur'e-type systems are derived. Finally, the effectiveness and superiority of the proposed method are verified through its application to Chua's circuits, neural networks, and a stochastic numerical example.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.70035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930389","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}

引用次数: 0

Dynamic Output Feedback Asynchronous H ∞ $H_infty$ Control for Singular Markovian Jump Systems via Event-Triggered Scheme 基于事件触发方案的奇异马尔可夫跳跃系统的动态输出反馈异步H∞$H_infty$控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-05-07 DOI: 10.1049/cth2.70034

Qian Zhang, Jinjin Liu, Huajian Xue

{"title":"Dynamic Output Feedback Asynchronous \u0000 \u0000 \u0000 H\u0000 ∞\u0000 \u0000 $H_infty$\u0000 Control for Singular Markovian Jump Systems via Event-Triggered Scheme","authors":"Qian Zhang, Jinjin Liu, Huajian Xue","doi":"10.1049/cth2.70034","DOIUrl":"https://doi.org/10.1049/cth2.70034","url":null,"abstract":"This brief studies the problem of dynamic output feedback (DOF) asynchronous <math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>H</mi>\u0000 <mi>∞</mi>\u0000 </msub>\u0000 <annotation>$H_infty$</annotation>\u0000 </semantics></math> control for singular Markovian jump systems (SMJSs) via event-triggered scheme (ETS). To save network resources, a dynamic ETS is proposed. Moreover, due to various factors, the controller modes and the system modes are not always synchronized and a hidden Markov model (HMM) is used to describe this phenomenon. First, some conditions are formulated to ensure that the system is stochastically admissible (SA) with <math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>H</mi>\u0000 <mi>∞</mi>\u0000 </msub>\u0000 <annotation>$H_infty$</annotation>\u0000 </semantics></math> performance. Second, DOF controllers are obtained based on the derived conditions. Finally, two examples are presented to show the effectiveness of the proposed approach.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919886","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}

引用次数: 0

Passivity-Based Distributed Averaging Control for Wide-Area Frequency Synchronisation with Time-Varying Power Demand 基于无源性的时变功率需求广域频率同步分布式平均控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-04-28 DOI: 10.1049/cth2.70032

Heng Kang, Toru Namerikawa

引用次数: 0

Data-Driven Output Synchronization of Heterogeneous Multi-Agent Systems under False Data Injection Attacks 虚假数据注入攻击下异构多agent系统的数据驱动输出同步

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-04-25 DOI: 10.1049/cth2.70027

Cheng Fei, Jun Shen, Hongling Qiu, Xiaoqi Song, Yamin Wang

{"title":"Data-Driven Output Synchronization of Heterogeneous Multi-Agent Systems under False Data Injection Attacks","authors":"Cheng Fei, Jun Shen, Hongling Qiu, Xiaoqi Song, Yamin Wang","doi":"10.1049/cth2.70027","DOIUrl":"https://doi.org/10.1049/cth2.70027","url":null,"abstract":"This paper investigates strategies for achieving optimal output synchronization of heterogeneous multi-agent systems in the presence of false data injection attacks. We formulate a performance index with an infinite time horizon using a zero-sum game framework, treating control input and false data injection attack input as two opposing players. Specifically, the control input's objective is to minimize the performance index, while the false data injection attack input aims to maximize it. Adhering to the optimality principle, we derive the optimal control policy, contingent upon the solution to a related algebraic Riccati equation. Moreover, we propose sufficient conditions that ensure the existence of a solution to the algebraic Riccati equation. Additionally, we have devised a data-driven reinforcement learning algorithm to seek the solution, and its convergence is assured. Furthermore, it has been demonstrated that the solution to this game corresponds to a Nash equilibrium point. Finally, the validity of the proposed methodology is substantiated through simulation results.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871564","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}

引用次数: 0

Multivariable QFT control of the direction flip problem in wire arc additive manufacturing 电弧增材制造中方向翻转问题的多变量QFT控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-04-25 DOI: 10.1049/cth2.12765

Manuel Masenlle, Jorge Elso, J. Xabier Ostolaza

{"title":"Multivariable QFT control of the direction flip problem in wire arc additive manufacturing","authors":"Manuel Masenlle, Jorge Elso, J. Xabier Ostolaza","doi":"10.1049/cth2.12765","DOIUrl":"https://doi.org/10.1049/cth2.12765","url":null,"abstract":"Additive metal manufacturing (AM), particularly Wire Arc Additive Manufacturing (WAAM), offers a compelling alternative to traditional machining methods. While AM presents advantages such as reduced material waste and lower production costs, challenges remain in effectively controlling the process to prevent defects and optimise material deposition. This article proposes a multivariable control system for WAAM utilising Quantitative Feedback Theory (QFT) to maintain the shape of the heat-affected zone (HAZ) during transitions in direction flips during layer deposition. By modelling these direction flips as predictable disturbances, the full potential of QFT to integrate feedback and feedforward actions is exploited. The resulting multivariable control laws seek to minimise temperature variation in two critical points around the welding pool by adequately manipulating the power and speed of the heat source. A benchmark system is established to evaluate the effectiveness of the proposed control system. The results demonstrate significant improvement in temperature control, leading to enhanced layer construction quality and reduced need for height corrections or cooling pauses.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12765","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875640","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}

引用次数: 0

Minimum-Parameter-Learning-Based Adaptive Neural Finite-Time Control for Uncertain Nonlinear Systems With Dynamic Event-Triggered Input 具有动态事件触发输入的不确定非线性系统的最小参数学习自适应神经有限时间控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-04-21 DOI: 10.1049/cth2.70026

Qiang Zeng, Qiuyue Shi, Meili Yu, Lei Liu

{"title":"Minimum-Parameter-Learning-Based Adaptive Neural Finite-Time Control for Uncertain Nonlinear Systems With Dynamic Event-Triggered Input","authors":"Qiang Zeng, Qiuyue Shi, Meili Yu, Lei Liu","doi":"10.1049/cth2.70026","DOIUrl":"https://doi.org/10.1049/cth2.70026","url":null,"abstract":"This article investigates the finite-time event-triggered controller design with minimum learning parameters (MLP) for nonlinear systems using neural networks in the presence of uncertainty. Specifically, firstly, the neural networks are devised to compensate online for the uncertain nonlinear functions. Then, a finite-time prescribed performance function is employed in the controller design to achieve that the tracking error converges to within a prescribed region at any setting time. At the same time, the transient responses (e.g., maximum overshoot and convergence speed) can be enhanced for the tracking error. After that, unlike ordinary dynamic event-triggered strategy, the developed dynamic event-triggered methodology can further increase the triggering interval, which leads to the network bandwidth can be effectively saved. Moreover, one can prove that all the closed-loop signals remain bounded and the Zeno phenomenon can be excluded. Finally, the advantages of the proposed strategy can be illustrated by two examples.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.70026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852793","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}

引用次数: 0

Event-Triggered Fuzzy Predictive Control of Nonlinear Cyber-Physical System Under Stochastic Communication Protocol Scheduling 随机通信协议调度下非线性信息物理系统的事件触发模糊预测控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-04-21 DOI: 10.1049/cth2.70025

Jun Wang, Chenghong Liao, Hongguang Pan

{"title":"Event-Triggered Fuzzy Predictive Control of Nonlinear Cyber-Physical System Under Stochastic Communication Protocol Scheduling","authors":"Jun Wang, Chenghong Liao, Hongguang Pan","doi":"10.1049/cth2.70025","DOIUrl":"https://doi.org/10.1049/cth2.70025","url":null,"abstract":"The objective of this paper is to investigate an event-triggered output feedback model predictive control (MPC) approach for the nonlinear cyber-physical system (CPS) with a stochastic communication protocol (SCP) scheduling, which is approximated by an interval type-2 Takagi–Sugeno (IT2 T-S) fuzzy model. For the objective of enhancing network communication efficiency and relieving data collision caused by limited communication resource, an SCP protocol ruled by a Markov stochastic process is favourably utilized to govern the data scheduling of network. Based on an event-triggered output feedback control law, a mode-dependent IT2 fuzzy controller is formally designed, in which the feedback gain is optimized by solving an online constrained MPC optimization problem. By the utilization of defining the mean-square quadratic boundedness (MSQB) for confining the augmented system state into a robust invariant set, both the feasibility of controller and closed-loop stochastic stability are ensured and proved with the satisfaction of physical constraint in the mean-square sense. Finally, we validate the effectiveness of the proposed method by a numerical simulation example.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.70025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852767","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}

引用次数: 0

Fixed-Time Synergetic Control of Multi-Interior Permanent Magnet Synchronous Motor Traction System With Dynamic Adhesion 多内嵌式永磁同步电机牵引系统动态附着的定时协同控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-04-21 DOI: 10.1049/cth2.70030

Deqing Huang, Qiyuan Zhao, Ruiqi Li, Yupei Jian

{"title":"Fixed-Time Synergetic Control of Multi-Interior Permanent Magnet Synchronous Motor Traction System With Dynamic Adhesion","authors":"Deqing Huang, Qiyuan Zhao, Ruiqi Li, Yupei Jian","doi":"10.1049/cth2.70030","DOIUrl":"https://doi.org/10.1049/cth2.70030","url":null,"abstract":"The difference in wheel speeds within a train carriage arises from variations in traction motor performance and rail adhesion conditions. This can potentially lead to uneven wheel wear and, subsequently, to imbalanced traction and unstable train operation. To tackle this issue, this paper proposes a control method based on fixed-time synergetic control theory to synchronize the linear speeds of wheels in a multi-interior permanent magnet synchronous motor (IPMSM) traction system. The method considers load differences caused by wear differences between the front and rear wheels, as well as the dynamic adhesion conditions of the rail. First, the model of the permanent magnet synchronous traction system (PMSTS) is established by combining the single-axle train model with the dynamic model of the IPMSM. Then, synergetic control theory is extended with fixed-time theory to ensure the convergence performance of the PMSTS under any adhesion condition. Furthermore, a new synergetic load torque observer is designed to estimate the motor-side load torque, with the observed information used to track maximum adhesion coefficient. Finally, the proposed method is validated for its effectiveness and advantages through a hardware-in-the-loop platform.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.70030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852768","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}

引用次数: 0

Multivariable Control of Wastewater Treatment Process Based on Multi-Agent Deep Reinforcement Learning 基于多智能体深度强化学习的污水处理过程多变量控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-04-20 DOI: 10.1049/cth2.70021

Shengli Du, Rui Sun, Peixi Chen

{"title":"Multivariable Control of Wastewater Treatment Process Based on Multi-Agent Deep Reinforcement Learning","authors":"Shengli Du, Rui Sun, Peixi Chen","doi":"10.1049/cth2.70021","DOIUrl":"https://doi.org/10.1049/cth2.70021","url":null,"abstract":"This paper investigates the multivariable control of wastewater treatment processes (WWTP). This paper integrates deep reinforcement learning (DRL) with PID control and proposes a multivariable adaptive PID control strategy based on multi-agent DRL (MADRL) for WWTP. The approach begins with the construction of a MADRL-PID controller structure, consisting of an agent and a PID controller module. The agent adjusts the PID controller values while the PID module calculates the control signal. To enhance the agent's ability to cooperatively tune multiple PID controllers, the algorithm's components–reward function, action space, environment, and state space–are designed according to the BSM1 simulation platform principles and the MADRL framework requirements. Additionally, to handle WWTP's non-linearities, uncertainties, and parameter coupling, the multi-agent deep deterministic policy gradient algorithm is selected as the foundation for training the agents. Experimental results demonstrate that the proposed algorithm exhibits greater adaptability than traditional PID control and achieves superior control performance.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852838","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}

引用次数: 0

Data-Based H ∞ ${H_infty }$ Optimal Tracking Control of Completely Unknown Linear Systems Under Input Constraints 输入约束条件下基于数据的完全未知线性系统的 H ∞ ${H_infty }$ 优化跟踪控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2025-04-20 DOI: 10.1049/cth2.70022

Peyman Ahmadi, Aref Shahmansoorian, Mehdi Rahmani

{"title":"Data-Based \u0000 \u0000 \u0000 H\u0000 ∞\u0000 \u0000 ${H_infty }$\u0000 Optimal Tracking Control of Completely Unknown Linear Systems Under Input Constraints","authors":"Peyman Ahmadi, Aref Shahmansoorian, Mehdi Rahmani","doi":"10.1049/cth2.70022","DOIUrl":"https://doi.org/10.1049/cth2.70022","url":null,"abstract":"This paper presents an <math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>H</mi>\u0000 <mi>∞</mi>\u0000 </msub>\u0000 <annotation>${H_infty }$</annotation>\u0000 </semantics></math> optimal tracking control approach for linear systems with unknown models and input constraints. The proposed method is based on data-based adaptive dynamic programming (ADP) that is computationally tractable and does not require model approximation. This study consists of two new algorithms: a model-based constrained control algorithm and a data-based algorithm for systems with completely unknown models. A lower bound for the <math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>H</mi>\u0000 <mi>∞</mi>\u0000 </msub>\u0000 <annotation>${H_infty }$</annotation>\u0000 </semantics></math> attenuation coefficient is determined to ensure optimality. Additionally, the approach allows for constraints on the amplitude and frequency of the control signal, which are incorporated using the idea of inverse optimal control (IOC). The effectiveness of the proposed method is demonstrated through a simulation example, showcasing its ability to achieve robust tracking performance and satisfy input constraints.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852837","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}

引用次数: 0