IET Control Theory and Applications最新文献_第6页

Residual based tilt tri-rotor UAV actuator fault detection using TSK fuzzy model 基于残差的倾斜三旋翼无人机执行器故障检测TSK模糊模型

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-16 DOI: 10.1049/cth2.12768

Guang He, Yi Bao, Liang Xin, Zhiqiang Long

引用次数: 0

Adaptive inverse control for trajectory tracking with dead-zone nonlinearity under cyberattacks 网络攻击下具有死区非线性的轨迹跟踪自适应逆控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-15 DOI: 10.1049/cth2.12776

Farnaz Sabahi

{"title":"Adaptive inverse control for trajectory tracking with dead-zone nonlinearity under cyberattacks","authors":"Farnaz Sabahi","doi":"10.1049/cth2.12776","DOIUrl":"https://doi.org/10.1049/cth2.12776","url":null,"abstract":"Control systems rely heavily on the accuracy and reliability of sensor data; however, the integrity of these data can be compromised through spoofing attacks, leading to significant modelling errors that can render control impractical. In addition, centralized control poses a significant threat to system security. To address these issues, a distributed framework is suggested for a discrete-time nonlinear system that encounters unknown dead-zones at its input. The framework uses the inherent resilience of a decentralized peer-to-peer network to secure information exchange, eliminating the need for prior knowledge of system dynamics or potential attacks. The proposed framework performs two complex tasks: identifying the nonlinear system and dealing with the unknown nonlinearity at the input in the form of a dead-zone. An adaptive dead-zone inverse is used to handle the unknown nonlinearity at the input in the form of a dead-zone and integrate blockchain technology to secure communication between components. The blockchain component ensures tamper-proof data transmission and resistance to cyberattacks, providing both detection and defence mechanisms without prior knowledge of system dynamics or potential attacks. The actuator and plant components are matched and synchronized using a private network with static nodes, ensuring deterministic and well-coordinated communication. Simulation results demonstrate that the proposed framework both with and without blockchain integration, maintains stability and outperforms traditional methods in terms of robustness and accuracy, even when all parts of the framework are adjusted in response to attacks.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12776","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115091","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

Optimal H-infinity fuzzy control of chaotic synchronization cryptosystems: An NN-based approach 混沌同步密码系统的最优h∞模糊控制：一种基于神经网络的方法

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-12 DOI: 10.1049/cth2.12722

Feng-Hsiag Hsiao

引用次数: 0

Robust adaptive synchronization of the chaotic fractional-order satellite system subject to uncertainties and unknown inputs 具有不确定性和未知输入的混沌分数阶卫星系统的鲁棒自适应同步

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-11 DOI: 10.1049/cth2.12763

Zahra Yaghoubi, Mojgan Elmi, Mahdieh Adeli

{"title":"Robust adaptive synchronization of the chaotic fractional-order satellite system subject to uncertainties and unknown inputs","authors":"Zahra Yaghoubi, Mojgan Elmi, Mahdieh Adeli","doi":"10.1049/cth2.12763","DOIUrl":"https://doi.org/10.1049/cth2.12763","url":null,"abstract":"This article addresses the robust adaptive synchronization for a three-dimensional unknown chaotic fractional-order satellite system. It is considered that the satellite system is under unknown moments of inertia and exogenous disturbance torques. It is assumed that the upper bound of the exogenous disturbance is unknown, which makes the controller design more complex. The control is designed with the aim of synchronization of two satellites with perturbing torques considering unknown parameters. The proposed controller consists of three parts: (1) a linear term of the synchronization error, (2) the nonlinear part of the synchronization error, and (3) online estimations of the unknown parameters and disturbance, which are established by fractional-order adaptation laws. The proposed robust adaptive control scheme uses Lyapunov theory and fractional concepts to guarantee the asymptotic stability of the closed-loop system. The proposed controller is robust to unknown parameters and disturbance torques by taking advantage of the adaptive estimation. The computational simulations show the success of the theoretical attainments.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12763","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114257","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

Secure adaptive fuzzy tracking control for a class of nonlinear systems under actuator and sensor faults and denial-of-service attacks based on event-triggered mechanism 基于事件触发机制的一类非线性系统在执行器、传感器故障和拒绝服务攻击下的安全自适应模糊跟踪控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-11 DOI: 10.1049/cth2.12767

Hamidreza Baghi, Farzaneh Abdollahi, Heidar Ali Talebi

引用次数: 0

A game-theoretic cooperative path planning strategy using hybrid heuristic optimization algorithm 基于混合启发式优化算法的博弈论协同路径规划策略

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-07 DOI: 10.1049/cth2.12766

Yutong Zhu, Ye Zhang

引用次数: 0

Complex network control and stability through distributed critic-based neuro-fuzzy learning 基于分布式临界神经模糊学习的复杂网络控制与稳定性

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-04 DOI: 10.1049/cth2.12773

Javad Soleimani, Reza Farhangi, Gunes Karabulut Kurt

{"title":"Complex network control and stability through distributed critic-based neuro-fuzzy learning","authors":"Javad Soleimani, Reza Farhangi, Gunes Karabulut Kurt","doi":"10.1049/cth2.12773","DOIUrl":"https://doi.org/10.1049/cth2.12773","url":null,"abstract":"Inspired by advancements in swarm autonomous vehicles and intelligent control systems, this research addresses the issue of frequency synchronization and phase tracking in oscillator networks. A novel distributed consensus protocol and a reinforcement learning algorithm for a multi-agent network with a leader–follower topology, considering stability conditions, are developed. The critic-based neuro-fuzzy learning (CBNFL) method aims to achieve consensus and minimize local tracking errors. Additionally, an explicit synchronization condition for the network using the Lyapunov theorem is derived. Each vehicle tracks its reference phase and frequency. Employing a fuzzy critic to evaluate the current state and generate a stress signal for the controller, the method prompts adaptive parameter adjustments to minimize this signal. The proposed design's versatility and adaptability to various networks demonstrate robustness against dynamic vehicle properties and network parameter uncertainties, ensuring consistent controller performance. This approach exhibits high scalability, accommodating numerous autonomous agents. To validate the proposed learning method's efficacy, numerical simulations are conducted on a network of five oscillators. The outcomes of implementing CBNFL compared with a conventional PI controller underscore the CBNFL method's superior performance and robustness in maintaining network stability and achieving synchronization.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12773","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111740","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

Robust learning-based iterative model predictive control for unknown non-linear systems 未知非线性系统的鲁棒学习迭代模型预测控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-03 DOI: 10.1049/cth2.12764

Wataru Hashimoto, Kazumune Hashimoto, Masako Kishida, Shigemasa Takai

{"title":"Robust learning-based iterative model predictive control for unknown non-linear systems","authors":"Wataru Hashimoto, Kazumune Hashimoto, Masako Kishida, Shigemasa Takai","doi":"10.1049/cth2.12764","DOIUrl":"https://doi.org/10.1049/cth2.12764","url":null,"abstract":"This study presents a learning-based iterative model predictive control (MPC) scheme for unknown (Lipschitz continuous) nonlinear dynamical systems. The proposed method begins by learning the unknown part of the controlled system using a Gaussian process (GP), which helps derive multi-step reachable sets that are guaranteed to encompass the actual system states. At each time step in each iteration, the MPC controller calculates a sequence of control inputs that robustly satisfy state and control constraints, as well as terminal constraints based on the GP-based reachable sets. Then only the first control input is applied to the system. After the iteration, the initial state is reset, and the same procedure is executed with the MPC optimization problem defined by the updated terminal set and cost. As iteration goes on, improvement of the control performance is expected since more data is obtained and the environment is progressively explored. The proposed method provides properties such as recursive feasibility and input to state stability of the goal region under certain assumptions. Moreover, bound on the performance cost in each iteration associated with the implementation of the proposed MPC scheme is also analyzed. The results of the simulation study show that the proposed control scheme can iteratively improve the control performance.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2540-2554"},"PeriodicalIF":2.2,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12764","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142851327","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

Linear quadratic control and estimation synthesis for multi-agent systems with application to formation flight 应用于编队飞行的多代理系统的线性二次控制和估计合成

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-03 DOI: 10.1049/cth2.12774

Hojin Lee, Chanyong Lee, Jusang Lee, Cheolhyeon Kwon

{"title":"Linear quadratic control and estimation synthesis for multi-agent systems with application to formation flight","authors":"Hojin Lee, Chanyong Lee, Jusang Lee, Cheolhyeon Kwon","doi":"10.1049/cth2.12774","DOIUrl":"https://doi.org/10.1049/cth2.12774","url":null,"abstract":"This paper concerns the optimality problem of distributed linear quadratic control in a linear stochastic multi-agent system (MAS). The main challenge stems from MAS network topology that limits access to information from non-neighbouring agents, imposing structural constraints on the control input space. A distributed control-estimation synthesis is proposed which circumvents this issue by integrating distributed estimation for each agent into distributed control law. Based on the agents' state estimate information, the distributed control law allows each agent to interact with non-neighbouring agents, thereby relaxing the structural constraint. Then, the primal optimal distributed control problem is recast to the joint distributed control-estimation problem whose solution can be obtained through the iterative optimization procedure. The stability of the proposed method is verified and the practical effectiveness is supported by numerical simulations and real-world experiments with multi-quadrotor formation flight.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2568-2582"},"PeriodicalIF":2.2,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12774","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860059","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

Interval compression-based model-free control algorithm for reducing actuator execution frequency 降低执行器执行频率的间隔压缩无模型控制算法

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-12-02 DOI: 10.1049/cth2.12775

Yitong Zhou, Jing Chang, Weisheng Chen, Hao Dai

引用次数: 0