{"title":"Dynamic Process Monitoring Based on Dot Product Feature Analysis for Thermal Power Plants","authors":"Xin Ma;Tao Chen;Youqing Wang","doi":"10.1109/JAS.2024.124908","DOIUrl":"https://doi.org/10.1109/JAS.2024.124908","url":null,"abstract":"Data-driven process monitoring is an effective approach to assure safe operation of modern manufacturing and energy systems, such as thermal power plants being studied in this work. Industrial processes are inherently dynamic and need to be monitored using dynamic algorithms. Mainstream dynamic algorithms rely on concatenating current measurement with past data. This work proposes a new, alternative dynamic process monitoring algorithm, using dot product feature analysis (DPFA). DPFA computes the dot product of consecutive samples, thus naturally capturing the process dynamics through temporal correlation. At the same time, DPFA's online computational complexity is lower than not just existing dynamic algorithms, but also classical static algorithms (e.g., principal component analysis and slow feature analysis). The detectability of the new algorithm is analyzed for three types of faults typically seen in process systems: sensor bias, process fault and gain change fault. Through experiments with a numerical example and real data from a thermal power plant, the DPFA algorithm is shown to be superior to the state-of-the-art methods, in terms of better monitoring performance (fault detection rate and false alarm rate) and lower computational complexity.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 3","pages":"563-574"},"PeriodicalIF":15.3,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535486","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}
Yiming Gao;Shi Qiu;Ming Liu;Lixian Zhang;Xibin Cao
{"title":"Fault Warning of Satellite Momentum Wheels with a Lightweight Transformer Improved by FastDTW","authors":"Yiming Gao;Shi Qiu;Ming Liu;Lixian Zhang;Xibin Cao","doi":"10.1109/JAS.2024.124689","DOIUrl":"https://doi.org/10.1109/JAS.2024.124689","url":null,"abstract":"The momentum wheel assumes a dominant role as an inertial actuator for satellite attitude control systems. Due to the effects of structural aging and external interference, the momentum wheel may experience the gradual emergence of irreversible faults. These fault features will become apparent in the telemetry signal transmitted by the momentum wheel. This paper introduces ADTWformer, a lightweight model for long-term prediction of time series, to analyze the time evolution trend and multi-dimensional data coupling mechanism of satellite momentum wheel faults. Moreover, the incorporation of the approximate Markov blanket with the maximum information coefficient presents a novel methodology for performing correlation analysis, providing significant perspectives from a data-centric standpoint. Ultimately, the creation of an adaptive alarm mechanism allows for the successful attainment of the momentum wheel fault warning by detecting the changes in the health status curves. The analysis methodology outlined in this article has exhibited positive results in identifying instances of satellite momentum wheel failure in two scenarios, thereby showcasing considerable promise for large-scale applications.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 3","pages":"539-549"},"PeriodicalIF":15.3,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535456","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}
Chenxi Gu;Xinli Wang;Kang Li;Xiaohong Yin;Shaoyuan Li;Lei Wang
{"title":"Enhanced Tube-Based Event-Triggered Stochastic Model Predictive Control with Additive Uncertainties","authors":"Chenxi Gu;Xinli Wang;Kang Li;Xiaohong Yin;Shaoyuan Li;Lei Wang","doi":"10.1109/JAS.2024.124974","DOIUrl":"https://doi.org/10.1109/JAS.2024.124974","url":null,"abstract":"This paper proposes an event-triggered stochastic model predictive control for discrete-time linear time-invariant (LTI) systems under additive stochastic disturbances. It first constructs a probabilistic invariant set and a probabilistic reachable set based on the priori knowledge of system uncertainties. Assisted with enhanced robust tubes, the chance constraints are then formulated into a deterministic form. To alleviate the online computational burden, a novel event-triggered stochastic model predictive control is developed, where the triggering condition is designed based on the past and future optimal trajectory tracking errors in order to achieve a good trade-off between system resource utilization and control performance. Two triggering parameters σ and γ are used to adjust the frequency of solving the optimization problem. The probabilistic feasibility and stability of the system under the event-triggered mechanism are also examined. Finally, numerical studies on the control of a heating, ventilation, and air conditioning (HVAC) system confirm the efficacy of the proposed control.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 3","pages":"596-605"},"PeriodicalIF":15.3,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535555","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}
{"title":"Predefined-Time Constrained Optimization of MultiAgent Systems Under Impulsive Effects","authors":"Zhuyan Jiang;Xiaoyang Liu;Xiang Jiang;Jinde Cao","doi":"10.1109/JAS.2024.124710","DOIUrl":"https://doi.org/10.1109/JAS.2024.124710","url":null,"abstract":"Dear Editor, This letter investigates predefined-time optimization problems (OPs) of multiagent systems (MASs), where the agent of MASs is subject to inequality constraints, and the team objective function accounts for impulse effects. Firstly, to address the inequality constraints, the penalty method is introduced. Then, a novel optimization strategy is developed, which only requires that the team objective function be strongly convex. This strategy guarantees the MAS converges to the optimal solution within a predefined time (PDT). Finally, a numerical simulation is presented to validate the effectiveness of the theoretical results.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"255-257"},"PeriodicalIF":15.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848389","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear Systems","authors":"Ding Wang;Lingzhi Hu;Xiaoli Li;Junfei Qiao","doi":"10.1109/JAS.2024.124989","DOIUrl":"https://doi.org/10.1109/JAS.2024.124989","url":null,"abstract":"In this paper, a fault-tolerant-based online critic learning algorithm is developed to solve the optimal tracking control issue for nonaffine nonlinear systems with actuator faults. First, a novel augmented plant is constructed by fusing the system state and the reference trajectory, which aims to transform the optimal fault-tolerant tracking control design with actuator faults into the optimal regulation problem of the conventional nonlinear error system. Subsequently, in order to ensure the normal execution of the online learning algorithm, a stability criterion condition is created to obtain an initial admissible tracking policy. Then, the constructed model neural network (NN) is pre-trained to recognize the system dynamics and calculate trajectory control. The critic and action NNs are constructed to output the approximate cost function and approximate tracking control, respectively. The Hamilton-Jacobi-Bellman equation of the error system is solved online through the action-critic framework. In theoretical analysis, it is proved that all concerned signals are uniformly ultimately bounded according to the Lyapunov principle. The tracking control law can approach the optimal tracking control within a finite approximation error. Finally, two experimental examples are conducted to indicate the effectiveness and supe-riority of the developed fault-tolerant tracking control scheme.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"215-227"},"PeriodicalIF":15.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993524","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}
Kamal Rsetam;Zhenwei Cao;Zhihong Man;Xian-Ming Zhang
{"title":"GPIO-Based Continuous Sliding Mode Control for Networked Control Systems Under Communication Delays with Experiments on Servo Motors","authors":"Kamal Rsetam;Zhenwei Cao;Zhihong Man;Xian-Ming Zhang","doi":"10.1109/JAS.2024.124812","DOIUrl":"https://doi.org/10.1109/JAS.2024.124812","url":null,"abstract":"To handle input and output time delays that com-monly exist in many networked control systems (NCSs), a new robust continuous sliding mode control (CSMC) scheme is proposed for the output tracking in uncertain single input-single-out-put (SISO) networked control systems. This scheme consists of three consecutive steps. First, although the network-induced delay in those systems can be effectively handled by using Pade approximation (PA), the unmatched disturbance cames out as another difficulty in the control design. Second, to actively estimate this unmatched disturbance, a generalized proportional integral observer (GPIO) technique is utilized based on only one measured state. Third, by constructing a new sliding manifold with the aid of the estimated unmatched disturbance and states, a GPIO-based CSMC is synthesized, which is employed to cope with not only matched and unmatched disturbances, but also net-work-induced delays. The stability of the entire closed-loop system under the proposed GPIO-based CSMC is detailedly analyzed. The promising tracking efficiency and feasibility of the proposed control methodology are verified through simulations and experiments on Quanser's servo module for motion control under various test conditions.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"99-113"},"PeriodicalIF":15.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993542","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}
{"title":"Self-Triggered Impulsive Control for Nonlinear Stochastic Systems","authors":"Tao Zhan;Yi Ji;Yabin Gao;Hongyi Li;Yuanqing Xia","doi":"10.1109/JAS.2024.124581","DOIUrl":"https://doi.org/10.1109/JAS.2024.124581","url":null,"abstract":"Dear Editor, This letter deals with the stabilization problem of nonlinear stochastic systems via self-triggered impulsive control (STIC), where the timing of impulsive control actions is not dependent on continuous state monitoring. In contrast to the existing self-triggered control method, novel self-triggered mechanism (STM) is proposed by incorporating a waiting time for stabilizing impulses. This allows for direct prediction of the next impulsive instant. Furthermore, the resulting algorithm is straightforward to implement and application. Finally, an example of the consensus for linear stochastic multiagent systems is presented to demonstrate the effectiveness of the proposed STIC schemes.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"264-266"},"PeriodicalIF":15.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848395","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Output Consensus of Heterogeneous Linear MASs via Adaptive Event-Triggered Feedback Combination Control","authors":"Shuo Yuan;Chengpu Yu;Jian Sun","doi":"10.1109/JAS.2024.124725","DOIUrl":"https://doi.org/10.1109/JAS.2024.124725","url":null,"abstract":"Dear Editor, This letter studies output consensus problem of heterogeneous linear multiagent systems over directed graphs. A novel adaptive dynamic event-triggered controller is presented based only on the feedback combination of the agent's own state and neighbors' output, which can achieve exponential output consensus through intermittent communication. The controller is obtained by solving two linear matrix equations, and Zeno behavior is excluded. Compared with existing output consensus algorithms, the proposed control algorithm does not need to design an additional dynamic compensator for each agent to generate a consensus reference signal. Moreover, the implementation of the algorithm is fully distributed without using the prior global topological information. Finally, a simulation example is given to verify the effectiveness of the proposed algorithm.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"285-287"},"PeriodicalIF":15.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848376","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Strong Current-State Opacity Verification of Discrete-Event Systems Modeled with Time Labeled Petri Nets","authors":"Tao Qin;Li Yin;Gaiyun Liu;Naiqi Wu;Zhiwu Li","doi":"10.1109/JAS.2024.124560","DOIUrl":"https://doi.org/10.1109/JAS.2024.124560","url":null,"abstract":"This paper addresses the verification of strong cur-rent-state opacity with respect to real-time observations gener-ated from a discrete-event system that is modeled with time labeled Petri nets. The standard current-state opacity cannot completely characterize higher-level security. To ensure the higher-level security requirements of a time-dependent system, we propose a strong version of opacity known as strong current-state opacity. For any path (state-event sequence with time information) π derived from a real-time observation that ends at a secret state, the strong current-state opacity of the real-time observation signifies that there is a non-secret path with the same real-time observation as π. We propose general and non-secret state class graphs, which characterize the general and non-secret states of time-dependent systems, respectively. To capture the observable behavior of non-secret states, a non-secret observer is proposed. Finally, we develop a structure called a real-time concurrent verifier to verify the strong current-state opacity of time labeled Petri nets. This approach is efficient since the real-time concurrent ver-ifier can be constructed by solving a certain number of linear programming problems.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"54-68"},"PeriodicalIF":15.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993835","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}
{"title":"Physical Layer Security Scheme With AoI-Awareness for Industrial IoT Based on Covert Communications","authors":"Yaping Li;Zhi-Xin Liu;Jia-Wei Su;Ya-Zhou Yuan","doi":"10.1109/JAS.2024.124770","DOIUrl":"https://doi.org/10.1109/JAS.2024.124770","url":null,"abstract":"Dear Editor, Industrial Internet of things (IIoT) is a typical application of cyber-physical system (CPS). In the IIoT, wireless communication is an inevitable trend to replace the deployment-limited wired transmission for cases with large-scale and mobile devices. However, wire-less communication gives rise to critical issues related to physical security, such as malicious detections and attacks [1]. To ensure secure transmission of legitimate data, covert communications are a promising physical-layer technology that shields transmitted content through low-detection-probability communications, and the main idea of covert communications is to interfere with attackers and increase their detection error rate r21.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"276-278"},"PeriodicalIF":15.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848393","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}