Journal of Automation and Intelligence最新文献

{"title":"Grey wolf optimization-based fuzzy-PID controller for load frequency control in multi-area power systems","authors":"Md. Faiyaj Ahmed Limon ,&nbsp;Rhydita Shahrin Upoma ,&nbsp;Nomita Sinha ,&nbsp;Shristi Roy Swarna ,&nbsp;Bidyut Kanti Nath ,&nbsp;Kulsuma Khanum ,&nbsp;Md. Jubaer Rahman ,&nbsp;Md. Shahid Iqbal","doi":"10.1016/j.jai.2025.01.002","DOIUrl":"10.1016/j.jai.2025.01.002","url":null,"abstract":"<div><div>This study develops a GWO-optimized cascaded fuzzy-PID controller with triangular membership functions for load frequency control in interconnected power systems. The controller’s effectiveness is demonstrated on thermal–thermal and hybrid thermal–hydro–gas power systems. The controller parameters were tuned using the Integral Time Absolute Error (ITAE) objective function, which was also evaluated alongside other objective functions (IAE, ISE, and ITSE) to ensure high precision in frequency stabilization. To validate the effectiveness of the triangular membership function, comparisons were made with fuzzy-PID controllers employing trapezoidal and Gaussian membership functions. Performance metrics, including ITAE, settling time, overshoot, and undershoot of frequency deviation, as well as tie-line power deviation, were evaluated. Robustness was established through a comprehensive sensitivity analysis with <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>G</mi></mrow></msub></math></span>, <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>T</mi></mrow></msub></math></span>, and <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>R</mi></mrow></msub></math></span> parameter variations (<span><math><mrow><mo>±</mo><mn>50</mn><mtext>%</mtext></mrow></math></span>), a non-linearity analysis incorporating Generation Rate Constraint (GRC) and Governor Deadband (GDB), a random Step Load Perturbation (SLP) over 0–100 s, and also Stability analysis of the proposed scheme is conducted using multiple approaches, including frequency-domain analysis, Lyapunov stability theory, and eigenvalue analysis. Additionally, the system incorporating thermal, hydro, and gas turbines, along with advanced components like CES and HVDC links, was analysed. Comparisons were conducted against controllers optimized using Modified Grasshopper Optimization Algorithm (MGOA), Honey Badger Algorithm (HBA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Spider Monkey Optimization (SMO) algorithms. Results demonstrate that the GWO-based fuzzy-PID controller outperforms the alternatives, exhibiting superior performance across all evaluated metrics. This highlights the potential of the proposed approach as a robust solution for load frequency control in complex and dynamic power systems.</div></div>","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 2","pages":"Pages 145-159"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514361","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}

{"title":"Decentralised adaptive learning-based control of robot manipulators with unknown parameters","authors":"Emil Mühlbradt Sveen,&nbsp;Jing Zhou,&nbsp;Morten Kjeld Ebbesen,&nbsp;Mohammad Poursina","doi":"10.1016/j.jai.2025.02.002","DOIUrl":"10.1016/j.jai.2025.02.002","url":null,"abstract":"<div><div>This paper studies motor joint control of a 4-degree-of-freedom (DoF) robotic manipulator using learning-based Adaptive Dynamic Programming (ADP) approach. The manipulator’s dynamics are modelled as an open-loop 4-link serial kinematic chain with 4 Degrees of Freedom (DoF). Decentralised optimal controllers are designed for each link using ADP approach based on a set of cost matrices and data collected from exploration trajectories. The proposed control strategy employs an off-line, off-policy iterative approach to derive four optimal control policies, one for each joint, under exploration strategies. The objective of the controller is to control the position of each joint. Simulation and experimental results show that four independent optimal controllers are found, each under similar exploration strategies, and the proposed ADP approach successfully yields optimal linear control policies despite the presence of these complexities. The experimental results conducted on the Quanser Qarm robotic platform demonstrate the effectiveness of the proposed ADP controllers in handling significant dynamic nonlinearities, such as actuation limitations, output saturation, and filter delays.</div></div>","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 2","pages":"Pages 136-144"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514435","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}

{"title":"DPCIPI: A pre-trained deep learning model for predicting cross-immunity between drifted strains of Influenza A/H3N2","authors":"Yiming Du ,&nbsp;Zhuotian Li ,&nbsp;Qian He ,&nbsp;Thomas Wetere Tulu ,&nbsp;Kei Hang Katie Chan ,&nbsp;Lin Wang ,&nbsp;Sen Pei ,&nbsp;Zhanwei Du ,&nbsp;Zhen Wang ,&nbsp;Xiao-Ke Xu ,&nbsp;Xiao Fan Liu","doi":"10.1016/j.jai.2025.03.004","DOIUrl":"10.1016/j.jai.2025.03.004","url":null,"abstract":"<div><div>Predicting cross-immunity between viral strains is vital for public health surveillance and vaccine development. Traditional neural network methods, such as BiLSTM, could be ineffective due to the lack of lab data for model training and the overshadowing of crucial features within sequence concatenation. The current work proposes a less data-consuming model incorporating a pre-trained gene sequence model and a mutual information inference operator. Our methodology utilizes gene alignment and deduplication algorithms to preprocess gene sequences, enhancing the model’s capacity to discern and focus on distinctions among input gene pairs. The model, i.e., DNA Pretrained Cross-Immunity Protection Inference model (DPCIPI), outperforms state-of-the-art (SOTA) models in predicting hemagglutination inhibition titer from influenza viral gene sequences only. Improvement in binary cross-immunity prediction is 1.58% in F1, 2.34% in precision, 1.57% in recall, and 1.57% in Accuracy. For multilevel cross-immunity improvements, the improvement is 2.12% in F1, 3.50% in precision, 2.19% in recall, and 2.19% in Accuracy. Our study showcases the potential of pre-trained gene models to improve predictions of antigenic variation and cross-immunity. With expanding gene data and advancements in pre-trained models, this approach promises significant impacts on vaccine development and public health.</div></div>","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 2","pages":"Pages 115-124"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514433","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}

{"title":"Time-synchronized control with the least upper bound of fixed settling time","authors":"Wanyue Jiang ,&nbsp;Shuzhi Sam Ge ,&nbsp;Ruihang Ji ,&nbsp;Dongyu Li","doi":"10.1016/j.jai.2025.03.001","DOIUrl":"10.1016/j.jai.2025.03.001","url":null,"abstract":"<div><div>This paper introduces time-synchronized convergence in fixed-time control, where all system states converge to the origin at the same time before a fixed time instant. Sufficient Lyapunov conditions are derived for fixed-time synchronized control (FTSC). An enhanced estimation method for synchronized settling time (ST) is proposed, with an explicit formula for its least upper bound (LUB), which reduces overestimation compared to existing methods. A switching-based technique is incorporated into the controller to avoid singularities while maintaining compatibility with the time-synchronized design. Simulation results validate the fixed-time synchronization properties and the improved ST estimation, demonstrating smoother output trajectories and reduced energy consumption.</div></div>","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 2","pages":"Pages 98-107"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514431","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}

{"title":"Generalized spline adaptive filtering algorithm based on q-hyperbolic function","authors":"Shiwei Yun ,&nbsp;Sihai Guan ,&nbsp;Chuanwu Zhang ,&nbsp;Bharat Biswal","doi":"10.1016/j.jai.2025.03.005","DOIUrl":"10.1016/j.jai.2025.03.005","url":null,"abstract":"<div><div>Based on the superiority of adaptive filtering algorithms designed with hyperbolic function-like objective functions, this paper proposes generalized spline adaptive filtering (SAF) algorithms designed with hyperbolic function-like objective functions. Specifically, a series of generalized new SAF algorithms are proposed by introducing the q-deformed hyperbolic function as the cost function, named SAF-qDHSI, SAF-qDHCO, SAF-qDHTA &amp; SAF-qDHSE algorithms, respectively. Then, the proposed algorithm is theoretically demonstrated with detailed mean convergence and computational complexity analysis; secondly, the effect of different q values on the performance of the new algorithm is verified through data simulation; the new algorithm still has better performance under the interference of Gaussian noise and non-Gaussian noise even when facing the system mutation; finally, the new algorithm is verified through the measured engineering data, and the results show that the new algorithm has better convergence and robustness compared with the existing algorithm. In conclusion, the generalized algorithm based on the new cost function proposed in this paper is more effective in nonlinear system identification.</div></div>","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 2","pages":"Pages 125-135"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514434","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}

{"title":"A survey on Ultra Wide Band based localization for mobile autonomous machines","authors":"Ning Xu ,&nbsp;Mingyang Guan ,&nbsp;Changyun Wen","doi":"10.1016/j.jai.2025.02.001","DOIUrl":"10.1016/j.jai.2025.02.001","url":null,"abstract":"<div><div>The fast growth of mobile autonomous machines from traditional equipment to unmanned autonomous vehicles has fueled the demand for accurate and reliable localization solutions in diverse application domains. Ultra Wide Band (UWB) technology has emerged as a promising candidate for addressing this need, offering high precision, immunity to multipath interference, and robust performance in challenging environments. In this comprehensive survey, we systematically explore UWB-based localization for mobile autonomous machines, spanning from fundamental principles to future trends. To the best of our knowledge, this review paper stands as the pioneer in systematically dissecting the algorithms of UWB-based localization for mobile autonomous machines, covering a spectrum from bottom-ranging schemes to advanced sensor fusion, error mitigation, and optimization techniques. By synthesizing existing knowledge, evaluating current methodologies, and highlighting future trends, this review aims to catalyze progress and innovation in the field, unlocking new opportunities for mobile autonomous machine applications across diverse industries and domains. Thus, it serves as a valuable resource for researchers, practitioners, and stakeholders interested in advancing the state-of-the-art UWB-based localization for mobile autonomous machines.</div></div>","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 2","pages":"Pages 82-97"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514430","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}

{"title":"Fault-tolerant control of wheeled mobile robots with prescribed trajectory tracking performance","authors":"Jin-Xi Zhang,&nbsp;Tianyou Chai","doi":"10.1016/j.jai.2024.12.002","DOIUrl":"10.1016/j.jai.2024.12.002","url":null,"abstract":"<div><div>The problem of trajectory tracking for a class of differentially driven wheeled mobile robots (WMRs) under partial loss of the effectiveness of the actuated wheels is investigated in this paper. Such actuator faults may cause the loss of strong controllability of the WMR, such that the conventional fault-tolerant control strategies unworkable. In this paper, a new mixed-gain adaption scheme is devised, which is adopted to adapt the gain of a decoupling prescribed performance controller to adaptively compensate for the loss of the effectiveness of the actuators. Different from the existing gain adaption technique which depends on both the barrier functions and their partial derivatives, ours involves only the barrier functions. This yields a lower magnitude of the resulting control signals. Our controller accomplishes trajectory tracking of the WMR with the prescribed rate and accuracy even in the faulty case, and the control design relies on neither the information of the WMR dynamics and the actuator faults nor the tools for function approximation, parameter identification, and fault detection or estimation. The comparative simulation results justify the theoretical findings.</div></div>","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 2","pages":"Pages 73-81"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514429","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}

{"title":"Group formation tracking for heterogeneous linear multi-agent systems under switching topologies","authors":"Shiyu Zhou,&nbsp;Dong Sun","doi":"10.1016/j.jai.2025.03.003","DOIUrl":"10.1016/j.jai.2025.03.003","url":null,"abstract":"<div><div>This article investigates the time-varying output group formation tracking control (GFTC) problem for heterogeneous multi-agent systems (HMASs) under switching topologies. The objective is to design a distributed control strategy that enables the outputs of the followers to form the desired sub-formations and track the outputs of the leader in each subgroup. Firstly, novel distributed observers are developed to estimate the states of the leaders under switching topologies. Then, GFTC protocols are designed based on the proposed observers. It is shown that with the distributed protocol, the GFTC problem for HMASs under switching topologies is solved if the average dwell time associated with the switching topologies is larger than a fixed threshold. Finally, an example is provided to illustrate the effectiveness of the proposed control strategy.</div></div>","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 2","pages":"Pages 108-114"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514432","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}

{"title":"Large language models for robotics: Opportunities, challenges, and perspectives","authors":"Jiaqi Wang ,&nbsp;Enze Shi ,&nbsp;Huawen Hu ,&nbsp;Chong Ma ,&nbsp;Yiheng Liu ,&nbsp;Xuhui Wang ,&nbsp;Yincheng Yao ,&nbsp;Xuan Liu ,&nbsp;Bao Ge ,&nbsp;Shu Zhang","doi":"10.1016/j.jai.2024.12.003","DOIUrl":"10.1016/j.jai.2024.12.003","url":null,"abstract":"<div><div>Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs harness their advanced reasoning and language comprehension capabilities to formulate precise and efficient action plans based on natural language instructions. However, for embodied tasks, where robots interact with complex environments, text-only LLMs often face challenges due to a lack of compatibility with robotic visual perception. This study provides a comprehensive overview of the emerging integration of LLMs and multimodal LLMs into various robotic tasks. Additionally, we propose a framework that utilizes multimodal GPT-4V to enhance embodied task planning through the combination of natural language instructions and robot visual perceptions. Our results, based on diverse datasets, indicate that GPT-4V effectively enhances robot performance in embodied tasks. This extensive survey and evaluation of LLMs and multimodal LLMs across a variety of robotic tasks enriches the understanding of LLM-centric embodied intelligence and provides forward-looking insights towards bridging the gap in Human-Robot-Environment interaction.</div></div>","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 1","pages":"Pages 52-64"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Welcoming the new spring, inspiring the future — New year’s greetings from Journal of Automation and Intelligence","authors":"Yongduan Song (Editor-in-Chief)","doi":"10.1016/j.jai.2025.01.003","DOIUrl":"10.1016/j.jai.2025.01.003","url":null,"abstract":"","PeriodicalId":100755,"journal":{"name":"Journal of Automation and Intelligence","volume":"4 1","pages":"Page 1"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}