Transactions of the Institute of Measurement and Control最新文献

Improved adaptive snake optimization algorithm with application to multi-UAV path planning 改进的自适应蛇形优化算法在多无人机路径规划中的应用

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-09 DOI: 10.1177/01423312241263637

Peng Liu, Nianyi Sun, Haiying Wan, Chengxi Zhang, Jin Zhao, Guangwei Wang

{"title":"Improved adaptive snake optimization algorithm with application to multi-UAV path planning","authors":"Peng Liu, Nianyi Sun, Haiying Wan, Chengxi Zhang, Jin Zhao, Guangwei Wang","doi":"10.1177/01423312241263637","DOIUrl":"https://doi.org/10.1177/01423312241263637","url":null,"abstract":"Metaheuristic swarm-based intelligent algorithms are extensively employed for engineering optimization tasks due to their efficacy in addressing nonlinear and high-dimensional challenges. This study presents an improved snake optimization algorithm (SOEA) to overcome the limitations of the standard snake optimization algorithm (SOA), such as slow convergence, subpar optimization accuracy, and vulnerability to local optima. The integration of elite opposition-based learning strategy enables the adjustment of snake population positions, thereby enhancing the algorithm’s global search capacity and iteration speed. Moreover, the incorporation of the adaptive threshold method enhances its local search performance and convergence speed. Experimental results demonstrate the superior performance of the proposed SOEA algorithm in achieving global optimization and accelerating convergence speed. The SOEA algorithm achieves a remarkable 34% reduction in the average number of iterations required compared to the SOA algorithm, and it also exhibits a lower mean squared error. Finally, the effectiveness of the proposed algorithm is validated through its successful application to solving the multi-UAV path planning problem.","PeriodicalId":507087,"journal":{"name":"Transactions of the Institute of Measurement and Control","volume":"36 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141924754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Event-driven fuzzy L∞ control of DC microgrids under cyber attacks and quantization 网络攻击和量化条件下直流微电网的事件驱动模糊 L∞ 控制

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-09 DOI: 10.1177/01423312241265781

Fuqiang Li, Lisai Gao, Kang Li, Chen Peng

{"title":"Event-driven fuzzy L∞ control of DC microgrids under cyber attacks and quantization","authors":"Fuqiang Li, Lisai Gao, Kang Li, Chen Peng","doi":"10.1177/01423312241265781","DOIUrl":"https://doi.org/10.1177/01423312241265781","url":null,"abstract":"This paper investigates the event-driven fuzzy [Formula: see text] control of direct-current (DC) microgrids subject to deception attacks, persistent bounded (PB) disturbances, premise mismatching, quantizer, and delays. First, using states of the fuzzy plant and a constant, a Zeno-free dynamic event-triggered mechanism (ETM) is presented, which is more robust to the PB disturbances than the static state-related ETMs (SSRETMs). Second, by virtually dividing the updating intervals of the controller, a unified time-delay fuzzy system model is established, which takes effects of dynamic ETM, deception attacks, disturbances, quantizer, and delays into account. Third, criteria for globally exponentially ultimately bounded (GEUB) stability in mean square with guaranteed [Formula: see text]-gain are obtained, and the quantitative relationship between the ultimate bound and the dynamic ETM is established. To overcome the inconvenience of the emulation method requiring two design steps, a co-design strategy is provided to simultaneously design the ETM and fuzzy controller subject to premise mismatching. Simulation results confirm that, even with the triggering rate 36.9% and the attacking rate 11.4%, satisfactory control performance can still be achieved; the dynamic ETM achieves better triggering performance than the SSRETMs; and the proposed controller achieves shorter settling time and smaller overshoot than the robust linear controller.","PeriodicalId":507087,"journal":{"name":"Transactions of the Institute of Measurement and Control","volume":"8 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Event-triggered leader-following consensus of nonlinear semi-Markovian multi-agent systems via improved integral inequalities 通过改进的积分不等式实现非线性半马尔可夫多代理系统的事件触发式领导-跟随共识

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-09 DOI: 10.1177/01423312241267036

Yu Lu, Cheng-De Zheng

引用次数: 0

Stable constrained model predictive control based on IOFL technique for boiler-turbine system 基于 IOFL 技术的锅炉-涡轮机系统稳定约束模型预测控制

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-09 DOI: 10.1177/01423312241263911

M. Abdelbaky, Xiangjie Liu, Xiaobing Kong

{"title":"Stable constrained model predictive control based on IOFL technique for boiler-turbine system","authors":"M. Abdelbaky, Xiangjie Liu, Xiaobing Kong","doi":"10.1177/01423312241263911","DOIUrl":"https://doi.org/10.1177/01423312241263911","url":null,"abstract":"Due to the strong nonlinearities of the boiler-turbine system, feasibility and high response capability are hard to realize using traditional linear controllers. Advanced controllers that can ensure stability and feasibility without violating system constraints, and enhance the system’s dynamic output performance, are needed. Therefore, this paper proposes a stable input/output feedback linearization (IOFL) model predictive controller (MPC) technique for the boiler-turbine system. This nonlinear system is decoupled using the IOFL method into a novel linearized model, which is then used for constituting the proposed stable IOFL MPC problem. The proposed scheme uses a constraint mapping method that converts actual input limits into limits on the basis of the control output variable to ensure a feasible solution over the whole prediction horizon. Moreover, a min-max MPC technique in the form of linear matrix inequality with the realization of the input rate-of-change constraints is utilized to ensure the boiler-turbine unit’s stability. The process model and proposed control scheme are executed using MATLAB and the simulation results demonstrate that the proposed controller has an enhanced dynamic output performance compared with an advanced control scheme under various load variations.","PeriodicalId":507087,"journal":{"name":"Transactions of the Institute of Measurement and Control","volume":"49 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141922975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust adaptive decoupled-like sliding mode controller design based on iterative learning for overhead cranes 基于迭代学习的桥式起重机鲁棒性自适应类解耦滑动模式控制器设计

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-08 DOI: 10.1177/01423312241257024

Zhiteng Zheng, Weimin Xu

{"title":"Robust adaptive decoupled-like sliding mode controller design based on iterative learning for overhead cranes","authors":"Zhiteng Zheng, Weimin Xu","doi":"10.1177/01423312241257024","DOIUrl":"https://doi.org/10.1177/01423312241257024","url":null,"abstract":"This paper proposes a novel model-free controller, considering the overhead crane systems cannot be accurately modeled and affected by external disturbances. The suggested scheme contains a variable exponential decoupled-like sliding mode control (VEDSMC), an adaptive power-reaching law (APRL), and a dynamic learning law-based iterative learning controller (DLLILC); they are combined in a parallel structure to form VEDSMC–APRL–DLLILC. The VEDSMC can effectively enhance the convergence speed of the displacement variables and improve the transient performance of the crane system. The APRL consists of an adaptive switching gain; it can estimate the optimal switching gain according to the unknown dynamics of the crane system and the disturbance, reduce the controller chattering, and guarantee the robustness. The DLLILC term can further improve anti-swing and positioning performance of the overhead crane without accurate information of the crane dynamics model in advance. Moreover, a nonlinear dynamic learning law (DLL) is developed to guarantee both convergence speed and steady-state accuracy in the learning process. Finally, the stability analysis of the designed controller is performed using Lyapunov theory and Barbalat’s lemma, and the simulation results illustrate the effectiveness of the suggested control scheme.","PeriodicalId":507087,"journal":{"name":"Transactions of the Institute of Measurement and Control","volume":"45 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141929381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-modal person re-identification using fused local effective features and multi-scale features 利用融合的局部有效特征和多尺度特征进行跨模态人员再识别

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-08 DOI: 10.1177/01423312241266275

Lihui Lu, Rifan Wang, Zhencong Chen, Jiaqi Chen

{"title":"Cross-modal person re-identification using fused local effective features and multi-scale features","authors":"Lihui Lu, Rifan Wang, Zhencong Chen, Jiaqi Chen","doi":"10.1177/01423312241266275","DOIUrl":"https://doi.org/10.1177/01423312241266275","url":null,"abstract":"The main research objective of cross-modal person re-identification is to retrieve matching images of the same person from image repositories in both modalities, given visible light or infrared images of individuals. Due to the significant modality gap between pedestrian images, the task of person re-identification faces considerable challenges. To address this issue, a method is proposed that utilizes the fusion of local effective features and multi-scale features. First, images are transformed into pseudo-infrared images through data augmentation and then a dual-stream network is designed using ResNet50_IBN for feature extraction. Subsequently, pedestrian features extracted from different layers are fused at multiple scales to alleviate feature loss caused during the convolution process. Finally, the model is supervised using global features and local effective features to address issues related to cluttered backgrounds and varying pedestrian positions in images. The proposed method is experimentally validated on the current mainstream cross-modal person re-identification datasets SYSU-MM01 and RegDB, demonstrating improvements in Rank-1 and mAP metrics compared to current state-of-the-art algorithms.","PeriodicalId":507087,"journal":{"name":"Transactions of the Institute of Measurement and Control","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive model predictive control–based curved path-tracking strategy for autonomous vehicles under variable velocity 变速情况下基于自适应模型预测控制的自动驾驶车辆曲线路径跟踪策略

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-08 DOI: 10.1177/01423312241267067

Qian Zhang, Huifang Kong, Tiankuo Liu, Xiaoxue Zhang

{"title":"Adaptive model predictive control–based curved path-tracking strategy for autonomous vehicles under variable velocity","authors":"Qian Zhang, Huifang Kong, Tiankuo Liu, Xiaoxue Zhang","doi":"10.1177/01423312241267067","DOIUrl":"https://doi.org/10.1177/01423312241267067","url":null,"abstract":"Maintaining the curved path-tracking accuracy and stability of autonomous vehicles under various road conditions is a significant challenge in the field of vehicle control. To address this limitation, a curved path-tracking strategy under variable velocity based on the adaptive model predictive control (MPC) is proposed for autonomous vehicles. Through the analysis of the vehicle dynamics model, the theoretical basis is presented to improve the performance of the curved path tracking by changing the vehicle velocity, and the adaptive velocity (AV) planner is designed to generate variable velocities depending on the path curvature and road friction coefficients. In addition, the adaptive model predictive controller, which adopts the fuzzy inference system with vehicle velocity and path curvature as inputs to obtain the adaptive prediction horizon (APH), is employed to realize curved path-tracking and velocity control with actuator constraints by manipulating the steering angle of the front wheels and the longitudinal tire forces of the vehicle. In comparison with the control strategy with three other control strategies based on MPC algorithm via simulation experiments on the Simulink/CarSim platform, the curved path-tracking control strategy with AV and APH proposed in this paper exhibits satisfactory performance in terms of path-tracking accuracy and stability.","PeriodicalId":507087,"journal":{"name":"Transactions of the Institute of Measurement and Control","volume":"25 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141925492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Control of networked robots subject to communication delay and switching connection topology for cooperative source-seeking with collision avoidance 控制受通信延迟和连接拓扑切换影响的联网机器人，实现合作寻源和避免碰撞

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-08 DOI: 10.1177/01423312241263654

Behnam Gharib, Reza Mahboobi Esfanjani

引用次数: 0

Neural network–based adaptive sliding mode control of three-dimensional double-pendulum overhead cranes with prescribed performance 基于神经网络的三维双摆桥式起重机规定性能自适应滑模控制

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-08 DOI: 10.1177/01423312241261046

Shourui Wang, Wuyin Jin, Xia Zhang

引用次数: 0

Lyapunov-based fractional-order PID controller design for coupled nonlinear system 基于 Lyapunov 的耦合非线性系统分数阶 PID 控制器设计

Transactions of the Institute of Measurement and Control Pub Date : 2024-08-08 DOI: 10.1177/01423312241262067

Hammad Zaki, Aamir Rashid, Usman Masud

{"title":"Lyapunov-based fractional-order PID controller design for coupled nonlinear system","authors":"Hammad Zaki, Aamir Rashid, Usman Masud","doi":"10.1177/01423312241262067","DOIUrl":"https://doi.org/10.1177/01423312241262067","url":null,"abstract":"Coupled nonlinear systems are difficult to control due to the adverse effects of uncertainties and coupling effects with increased sensor noise. This paper proposes an improved Lyapunov-based composite controller consisting of fractional-order proportional–integral–derivative (FOPID) and velocity-based disturbance observer to deal with the motion control of uncertain, nonlinear, and coupled system. FOPID utilizes the stable filtered error to facilitate the control development and stability analysis for the multi-input multi-output (MIMO) coupled system. Moreover, a disturbance observer is developed by utilizing the velocity signals to provide robustness against the disturbances and parametric uncertainties. Enhanced infinite order disturbance observer (EIFDOB) structure is used to improve the robustness of the introduced technique despite the high-frequency sensor noise. Stability analysis is provided to verify the introduced controller through the Lyapunov stability theorem, LaSalle’s invariance principle, and Barbalat’s lemma. Signal chasing is also presented to show that all signals are ultimately bounded. Comprehensive numerical simulations are performed on high-fidelity and coupled nonlinear model of the twin rotor MIMO system where the efficiency of the presented technique is examined against the external disturbances, matched uncertainties, and sensor noise. The results presented with different scenarios show that the proposed technique performed better with more robustness than FOPID and integer order proportional–integral–derivative.","PeriodicalId":507087,"journal":{"name":"Transactions of the Institute of Measurement and Control","volume":"10 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141929071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0