Yusai Zheng, Zhenwei Cao, Kamal Rsetam, Zhihong Man, Song Wang
{"title":"Extreme learning machine-based super-twisting integral terminal sliding mode speed control of permanent magnet synchronous motors","authors":"Yusai Zheng, Zhenwei Cao, Kamal Rsetam, Zhihong Man, Song Wang","doi":"10.1049/cth2.12751","DOIUrl":"https://doi.org/10.1049/cth2.12751","url":null,"abstract":"<p>This article proposes an extreme learning machine (ELM)-based super-twisting integral terminal sliding mode control (STITSMC) for speed regulation of a permanent magnet synchronous motor (PMSM). First, the PMSM is modeled in a non-cascade control structure for fast system response and uncertainty compensation in the speed and torque loops. Second, the STITSMC is designed with integral actions in both the sliding surface and the reaching law to reduce chattering. Third, the ELM is constructed to compensate for the system lumped disturbance, and relax the disturbance upper bound required by the controller which further reduces the chattering. Fourth, the stability of the whole control system is proved based on the Lyapunov method and the finite time convergence regions are derived for both the reaching and the sliding phases. Finally, the comparative simulations and experiments are conducted to show the superiority of the proposed control.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2524-2539"},"PeriodicalIF":2.2,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12751","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861167","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}
Jakob Weber, Markus Gurtner, Amadeus Lobe, Adrian Trachte, Andreas Kugi
{"title":"Combining federated learning and control: A survey","authors":"Jakob Weber, Markus Gurtner, Amadeus Lobe, Adrian Trachte, Andreas Kugi","doi":"10.1049/cth2.12761","DOIUrl":"https://doi.org/10.1049/cth2.12761","url":null,"abstract":"<p>This survey provides an overview of combining federated learning (FL) and control to enhance adaptability, scalability, generalization, and privacy in (nonlinear) control applications. Traditional control methods rely on controller design models, but real-world scenarios often require online model retuning or learning. FL offers a distributed approach to model training, enabling collaborative learning across distributed devices while preserving data privacy. By keeping data localized, FL mitigates concerns regarding privacy and security while reducing network bandwidth requirements for communication. This survey summarizes the state-of-the-art concepts and ideas of combining FL and control. The methodical benefits are further discussed, culminating in a detailed overview of expected applications, from dynamical system modelling over controller design, focusing on adaptive control, to knowledge transfer in multi-agent decision-making systems.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2503-2523"},"PeriodicalIF":2.2,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12761","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142851467","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}
Yanhui Zhang, Xiaoling Liang, Weifang Chen, Kunfeng Lu, Chao Xu, Shuzhi Sam Ge
{"title":"USLC: Universal self-learning control via physical performance policy-optimization neural network","authors":"Yanhui Zhang, Xiaoling Liang, Weifang Chen, Kunfeng Lu, Chao Xu, Shuzhi Sam Ge","doi":"10.1049/cth2.12758","DOIUrl":"https://doi.org/10.1049/cth2.12758","url":null,"abstract":"<p>This article proposes an online universal self-learning control (USLC) algorithm based on a physical performance policy-optimization neural network, which aims to solve the problem of universal self-learning optimal control laws for nonlinear systems with various uncertain dynamics. As a key system characterization, this algorithm predicts the discrepancy between the optimal and current control laws by evaluating overall performance in each iterative learning cycle, leveraging an offline-trained universal policy network. This approach is universal, as it does not rely on an exact system model and can adaptively control performance preferences across various tasks by customizing the physical performance cost weights. Using the established control law-performance surface and contraction Lyapunov function, the necessary assumptions and proofs for the stable convergence of the system within a three-dimensional manifold space are provided. To demonstrate the universality of USLC, simulation experiments are conducted on two different systems: a low-order circuit system and a high-order variable-span aircraft attitude control system. The stable control achieved under varying initial values and boundary conditions in each system illustrates the effectiveness of the proposed method. Finally, the limitations of this study are discussed.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2944-2960"},"PeriodicalIF":2.2,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12758","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860847","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}
Rui Chen, Jie Fang, Xihong Fei, Yubao Xu, Duansong Wang, Tan Zhang, Jinzhong Zhang
{"title":"Quantized feedback stabilization of impulsive switched linear systems based on event triggering","authors":"Rui Chen, Jie Fang, Xihong Fei, Yubao Xu, Duansong Wang, Tan Zhang, Jinzhong Zhang","doi":"10.1049/cth2.12760","DOIUrl":"https://doi.org/10.1049/cth2.12760","url":null,"abstract":"<p>This article studies the feedback stabilization problem of an impulsive switched linear system whose feedback loop is closed over a digital network. Particularly, the combined effects of mode switches, impulses, quantization, network delay and external disturbances on the stability of that system are investigated. By extending the previous delay-free and impulse-free methods of reachable-set approximation and propagation, some novel communication and control policies are designed to stabilize the concerned switched system with both network delay and impulses. In order to save the occupied network bandwidth, some event-triggered control policies are proposed. To handle the effects of the mode switches and the impulse, we design event-triggering conditions for both the case with no switch and no impulse on an inter-event interval and the case with one switch or one impulse on an inter-event interval. Note that the occurrence of a mode switch or an impulse leads to the switch of the event-triggering conditions. Under the event-triggered control policies, a stabilizing bit rate condition is derived. It is proven that even under impulses and network delay, the event-triggered control policies can stabilize the switched system at a lower bit rate than earlier works based on conventional time-triggered control policies.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 17","pages":"2482-2502"},"PeriodicalIF":2.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12760","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142737562","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}
Hassan Mokari, Elnaz Firouzmand, Iman Sharifi, Ali Doustmohammadi
{"title":"Resilient and robust control strategy against deception attacks in the platoon of vehicles","authors":"Hassan Mokari, Elnaz Firouzmand, Iman Sharifi, Ali Doustmohammadi","doi":"10.1049/cth2.12757","DOIUrl":"https://doi.org/10.1049/cth2.12757","url":null,"abstract":"<p>A platoon must ensure the security of conducting missions due to the susceptibility of the vehicles to cyber-attacks. The deception attack is a common type of cyber-attack that might be introduced during data exchange through communication channels. Therefore, it can divert each vehicle by injecting uncertainty into the communication link between the agents in the cyber domain. This paper employs a leader–follower consensus system as a reference model to control the platoon vehicles. Accordingly, each agent in the reference model sends its information as a reference trajectory to its corresponding vehicle within the platoon. The vehicles are equipped with a robust local controller, enabling them to follow their desired trajectory in the presence of external disturbances. Furthermore, each vehicle employs an unknown input observer to detect a deception attack while decoupling it from external disturbances. Moreover, by introducing a switching strategy based on mode-dependent average dwell time to the leader–follower consensus system, a novel resilient control strategy against the deception attack is implemented in the cyber domain. The resultant resilient leader–follower consensus system in the platoon retrieves and restores the attacked vehicle in the platoon to its associated states. The applicability of the proposed method is shown via simulation.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2830-2840"},"PeriodicalIF":2.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12757","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142851428","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}
Xiang Li, Luxue Wang, Shuangsi Xue, Zihang Guo, Hui Cao
{"title":"Adaptive neural-based asynchronous control for nonhomogeneous Markov jumping systems with dead zones","authors":"Xiang Li, Luxue Wang, Shuangsi Xue, Zihang Guo, Hui Cao","doi":"10.1049/cth2.12762","DOIUrl":"https://doi.org/10.1049/cth2.12762","url":null,"abstract":"<p>This article addresses the challenge of adaptive neural-based asynchronous control for nonhomogeneous Markov jumping systems with input dead zones. Time-varying transition probabilities are precisely characterized using a two-layer nonhomogeneous Markov process. A hidden Markov model is employed to detect system modes and resolve the asynchronous issues of controllers. Based on the detected modes and a neural network strategy, an adaptive asynchronous control strategy is proposed. The Lyapunov stability theory is used to prove that the system remains probabilistically bounded under this control law. Finally, the effectiveness of the control strategy is demonstrated through a simulation example.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2961-2968"},"PeriodicalIF":2.2,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12762","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860246","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":"Observer-based PID control for fuzzy dynamic systems with memory triggering protocol","authors":"Xiao Liao, Qingshu Guan, Wei Cui, Ying Wang, Xianjing Zhong, Hui Cao","doi":"10.1049/cth2.12753","DOIUrl":"https://doi.org/10.1049/cth2.12753","url":null,"abstract":"<p>This paper addresses the issue of observer-based proportional–integral–derivative control for Takagi–Sugeno fuzzy dynamic systems using a memory triggering protocol. To tackle the challenges of managing nonlinear systems, the Takagi–Sugeno fuzzy approach is employed to approximate these systems with a series of local linear models. A novel memory event-triggering mechanism is introduced, utilizing a computer's storage unit to store historical data and adjust the triggering threshold based on this data, thereby reducing unnecessary network resource usage. Given that the system state can be affected by external disturbances and become unpredictable, an observer-based proportional–integral–derivative controller is designed to manage these uncertainties. Finally, a car-damper-spring model is presented to validate the proposed methodology.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2923-2930"},"PeriodicalIF":2.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12753","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142851483","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":"State geometric adjustability for interval max-plus linear systems","authors":"Yingxuan Yin, Haiyong Chen, Yuegang Tao","doi":"10.1049/cth2.12752","DOIUrl":"https://doi.org/10.1049/cth2.12752","url":null,"abstract":"<p>This article investigates the state geometric adjustability for interval max-plus linear systems, which means that the state vector sequence is transformed into a geometric vector sequence by using the state feedback control. It is pointed out that the geometric state vector sequence and its common ratio are closely related to the eigenvectors and eigenvalues of the special interval state matrix, respectively. Such an interval state matrix is determined by the eigen-robust interval matrix, which has a universal eigenvector relative to a universal eigenvalue. The state geometric adjustability is characterized by the solvability of interval max-plus linear equations, and a necessary and sufficient condition for the adjustability is given. A polynomial algorithm is provided to find the state feedback matrix. Several numerical examples and simulations are presented to demonstrate the results. At the same time, the proposed method is applied for the regulation of battery energy storage systems to optimize the start time of executing tasks for all processing units in each activity.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 17","pages":"2468-2481"},"PeriodicalIF":2.2,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12752","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142737607","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":"Research on construction method of command and control network model based on complex network theory","authors":"Jianwei Wang, Chengsheng Pan","doi":"10.1049/cth2.12756","DOIUrl":"https://doi.org/10.1049/cth2.12756","url":null,"abstract":"<p>The command and control (C2) network is a complete organizational system that connects operational units at all levels based on command relationships. Its purpose is to ensure that the C2 system can fully perform its command functions, achieving high precision and efficiency in decision-making. As warfare models evolve rapidly from network-centric warfare to multi-domain operations, traditional C2 networks, which utilize a tree structure for connectivity, exhibit only a single hierarchical relationship, making it challenging for different operational units at the same level to interconnect. Furthermore, with the diversification of warfare, the three types of nodes in traditional C2 network models are insufficient to encompass all operational units. In response, this paper proposes a method for edge weighting in C2 networks based on a combination of node attributes and network attributes described by complex network theory. The node attributes mainly include node information transmission capacity, task coordination ability between nodes, node distance, and response time. The network attributes are primarily represented by hierarchy and betweenness centrality. Additionally, the traditional C2 network model's three types of nodes are expanded to five types of nodes. Based on the edge weighting method, internal command edges, inter-network collaborative edges, and cross-level command edges are generated within the C2 network. Simulation results demonstrate that the constructed C2 network model's characteristic parameters are superior to those of traditional C2 networks and collaborative C2 networks. This improvement enhances command and coordination abilities, aligns more closely with real-world scenarios, and effectively improves network command and control efficiency.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2931-2943"},"PeriodicalIF":2.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12756","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142851571","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}
Shuqi Shi, Zongze Liu, Long Ren, Hongwei Tang, Dongran Song
{"title":"A high robust control scheme of grid-side converter for DFIG system","authors":"Shuqi Shi, Zongze Liu, Long Ren, Hongwei Tang, Dongran Song","doi":"10.1049/cth2.12755","DOIUrl":"https://doi.org/10.1049/cth2.12755","url":null,"abstract":"<p>In this study, a high robust control—second-order sliding-mode control (SOSMC) scheme is proposed to improve the DC-link voltage dynamic performance of the grid-side converter (GSC) for the doubly-fed induction generator (DFIG) system under the wind turbine power disturbance and DC-link capacitance parameter disturbance. In general, the wind speed is change with the environment and further has an effect on the power generation of the DFIG system. Besides, the capacitance of DC-link capacitor may change with the working condition. To address this issue, a SOSMC scheme is proposed to replace the conventional proportional integral (PI) control for the DC-link voltage controller of the GSC for the DFIG system in this study. By using the non-linear SOSMC controller, the DFIG system is robust to the disturbance of the wind speed and the parameter of DC-link capacitance. Compared with the conventional PI control scheme, the DFIG system with the proposed SOSMC scheme is much more robust, which has been verified in the MATLAB/Simulink platform.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 17","pages":"2277-2286"},"PeriodicalIF":2.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12755","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142737636","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}