Tianpeng Fan, Hongxiao Hu, Quan Wan, Zhongguo Li, Zhengtao Ding
{"title":"Fast finite-time consensus strategy for multi-agent systems based on switching of different protocols","authors":"Tianpeng Fan, Hongxiao Hu, Quan Wan, Zhongguo Li, Zhengtao Ding","doi":"10.1016/j.jfranklin.2025.107686","DOIUrl":"10.1016/j.jfranklin.2025.107686","url":null,"abstract":"<div><div>In multi-agent systems (MASs), the time to reach a consensus is an important factor in characterising system performance and control strategy. The linear protocol has a fast convergence rate when the initial error is large but slows significantly as the error decreases. Therefore, this paper combines the linear protocol with two finite-time protocols, and a switching strategy is designed to achieve fast finite-time consensus. First, when the connection topology is undirected, it is proved that the continuous finite-time consensus protocol is unnecessary, with the fastest convergence achieved by switching directly from the linear protocol to the discontinuous finite-time protocol. Two switching thresholds are provided. Subsequently, the results are extended to detail-balanced and leader-following graphs. Notably, in the leader-following case, the graph only needs to be connected without requiring strongly connected or detail-balanced. The proposed approach significantly reduces the time required for MAS consensus and eliminates the need for additional parameter calculations.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107686"},"PeriodicalIF":3.7,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yining Chen , Guoting Wang , Yongle Guo , Linying Xiang , Dandan Li , Zhiqiang Zuo
{"title":"Consensus of wave PDE agents under switching graphs","authors":"Yining Chen , Guoting Wang , Yongle Guo , Linying Xiang , Dandan Li , Zhiqiang Zuo","doi":"10.1016/j.jfranklin.2025.107684","DOIUrl":"10.1016/j.jfranklin.2025.107684","url":null,"abstract":"<div><div>We investigate the consensus problem for a network of infinite-dimensional agents with directed switching topology. Different from the general parabolic-type agents, networked wave PDEs which are suitable to model a group of flexible spacecrafts are addressed in this paper. Under mild conditions, a boundary control protocol is proposed for the underlying system. Subsequently, a novel common Lyapunov function is constructed to guarantee consensus and detailed analysis of theoretical findings is obtained. The well-posedness is further considered with the help of semigroup theory and inductive method. Moreover, a numerical example is exhibited to support the derived results.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107684"},"PeriodicalIF":3.7,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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-supervised keypoint detection based on affine transformation","authors":"Na Ying, Xuewei Zhang, Miao Hu, Xinyu Lin, Kairui Yin, Jian Zhao","doi":"10.1016/j.jfranklin.2025.107648","DOIUrl":"10.1016/j.jfranklin.2025.107648","url":null,"abstract":"<div><div>Self-supervised learning has emerged as a powerful approach to reducing the cost associated with data labeling for network training. Nonetheless, a key challenge in self-supervised keypoint detection is ensuring that the detected keypoints carry human-interpretable semantic meaning. This paper addresses this challenge by introducing a novel self-supervised keypoint detection algorithm designed to generate semantically meaningful human keypoints while maintaining detection accuracy. The proposed approach reformulates human keypoint detection as a problem of affine transformation of predefined keypoint templates, distinguishing itself from existing self-supervised techniques. Specifically, a semantically annotated human keypoint template is predefined, and an affine transformation matrix is learned based on extracted human pose features. By applying this matrix to the template, the algorithm generates keypoints that are not only accurate but also semantically aligned with the corresponding human poses. Furthermore, a margin loss is introduced to stabilize the affine transformations across various image scales, ensuring robust performance. Experimental evaluations on the Human3.6M and Deepfashion datasets demonstrate that the algorithm achieves an average detection error of 2.78 on Human3.6M, only a marginal increase of 0.02 compared to the baseline method, Autolink. On the Deepfashion dataset, the algorithm achieves a keypoint detection accuracy of 65%, which is 1% below Autolink. Importantly, unlike other methods, the proposed algorithm guarantees that all generated keypoints are semantically interpretable, providing a significant advantage in human-centered applications.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107648"},"PeriodicalIF":3.7,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"In-depth exploration on dynamic-controlled principal component analysis: Algorithm properties and its applications in pattern control and optimisation","authors":"Niannian Zheng , Yuri A.W. Shardt , Xiaoli Luan , Fei Liu","doi":"10.1016/j.jfranklin.2025.107696","DOIUrl":"10.1016/j.jfranklin.2025.107696","url":null,"abstract":"<div><div>Recently, significant attention has been directed towards extracting latent pattern from measured variables to characterise the operational status of processes. Notably, dynamic-controlled principal component analysis (DCPCA) has been developed to explicitly model the dynamic causality between control inputs and the pattern. However, studies on the mathematical properties of DCPCA are still absent, which hinders understanding and limits its applications. To bridge this gap, this paper analyses the properties of the optimisation problem and solution algorithm for DCPCA, as well as showing the geometric characteristics of DCPCA models. Consequently, the method by which DCPCA is solved and its working principle are explained. Based on these theoretical explorations, a framework for DCPCA-based pattern control and optimisation is designed and discussed to highlight a standard paradigm and show the significance of DCPCA for engineering applications. Finally, a numerical example is presented to validate the effectiveness of DCPCA, which explicitly captures the dynamic-controlled relationships of the process and directly regulates the pattern for process control. Additionally, a benchmark case study using the Tennessee Eastman process shows that DCPCA has a better detection-accuracy rate than dynamic-inner PCA (DIPCA).</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107696"},"PeriodicalIF":3.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Danyang Li, Youqun Zhao, Fen Lin, Tao Xu, Chenxi Zhang
{"title":"Mixed-objective robust hierarchical lateral control of autonomous distributed drive electric vehicles considering parametric uncertainties and energy loss","authors":"Danyang Li, Youqun Zhao, Fen Lin, Tao Xu, Chenxi Zhang","doi":"10.1016/j.jfranklin.2025.107693","DOIUrl":"10.1016/j.jfranklin.2025.107693","url":null,"abstract":"<div><div>To overcome the issues of parametric uncertainties, external disturbances, input saturation and energy loss in the lateral control of autonomous distributed drive electric vehicles (A-DDEVs), a mixed-objective robust hierarchical control strategy is proposed. Firstly, considering the uncertain tire cornering stiffness and velocity, a control-oriented constrained polytopic system model with disturbance is established, which integrates active front wheel steering (AFS), direct yaw moment control (DYC), and anti-rollover control (ARC) to maximize vehicle safety. Subsequently, an upper-level mixed-objective constrained robust model predictive control (RMPC) algorithm is developed, transforming the robust control problem–satisfying input/state constraints, desired quadratic performance, and H∞ performance–into a finite-dimensional convex optimization problem in terms of linear matrix inequalities (LMIs). For lower-level control, an optimal torque vectoring control (TVC) algorithm balancing safety and economy is proposed, employing a weighted sum of tire load rate and energy loss as the objective function. Here, the weight is dynamically adjusted via phase plane and fuzzy rules for holistic optimization. Finally, simulations across diverse driving scenarios validate the strategy's effectiveness and robustness.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107693"},"PeriodicalIF":3.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingxian Wang , Heng Zhou , Rong Chen , Yong Zhao , Yuzhu Bai , Jing Zhang
{"title":"Geodesic-based free terminal time energy optimization for spacecraft clusters trajectory planning in conflict zone","authors":"Jingxian Wang , Heng Zhou , Rong Chen , Yong Zhao , Yuzhu Bai , Jing Zhang","doi":"10.1016/j.jfranklin.2025.107692","DOIUrl":"10.1016/j.jfranklin.2025.107692","url":null,"abstract":"<div><div>This paper explores the free terminal time two-point boundary value problem for two spacecraft clusters in a conflict zone by introducing a trajectory planning method based on geodesics. Within this context, the clusters are subject to configuration, collision avoidance, communication, and motion constraints. First, the cluster state space under complex multiple constraints is constructed as a manifold. The free terminal time two-point boundary value problem is further transformed into a geodesic solution problem in manifold space and characterized by a partial differential equation. Addressing the multi-peaked nature of this multi-constrained optimization challenge, an initial guess, founded on the Clohessy-Wiltshire equation and employing homotopy principles, is devised. This facilitates algorithm convergence towards a superior peak, even from a bad initial guess. Finally, the Christoffel symbol simplified computation and the fast construction method of cluster boundary are proposed to realize the balance between optimal solution search and algorithm performance. Simulation results show that the proposed algorithm can solve the clusters conflict problem and can converge quickly under the random configuration to achieve cluster energy optimization in the multi-peak problem.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107692"},"PeriodicalIF":3.7,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Adaptive fuzzy tracking control for constrained stochastic nonlinear systems with unknown control direction","authors":"Haoran Wang, Zhibao Song","doi":"10.1016/j.jfranklin.2025.107681","DOIUrl":"10.1016/j.jfranklin.2025.107681","url":null,"abstract":"<div><div>This paper studies the adaptive tracking control problem of stochastic nonlinear systems with asymmetric time-varying state constraints, input saturation and unknown control direction. Nussbaum function is adopted to handle the unknown control direction (UCD). A hyperbolic tangent function is employed to construct an auxiliary subsystem for addressing the input saturation issue, thereby transforming the original system into a new system with explicit inputs. Additionally, a fuzzy logic system is utilized to tackle the unknown nonlinear function. Combining the barrier Lyapunov function (BLF), a novel adaptive fuzzy controller is designed to ensure that all signals in the closed-loop system remain bounded, the state variables are constrained within asymmetric time-varying bounds, and the tracking error converges near the origin. Finally, the effectiveness of the proposed control scheme is verified through a simulation example.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107681"},"PeriodicalIF":3.7,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Interval estimation and control for linear reaction–diffusion systems","authors":"Yu Gao , Kai-Ning Wu , Song Zhu , Deqiong Ding","doi":"10.1016/j.jfranklin.2025.107677","DOIUrl":"10.1016/j.jfranklin.2025.107677","url":null,"abstract":"<div><div>Interval estimation and control synthesis are studied for linear reaction–diffusion systems with bounded disturbances and measurement noise. Unlike the existing methods treated this problem based on Luenberger observers and Galerkin projection, we proposed an interval estimation method based on spatial central difference. In detail, the reaction–diffusion system is transformed into an approximated ordinary differential equations (AODEs) by central difference method. Then, we design interval observers based on the decoupling technique for AODEs, so that the states of AODEs are contained between the ones of two sub-observers. Furthermore, by integrating the estimates with truncation error, the state estimation is derived for reaction–diffusion systems. Additionally, these observations are leveraged to design a controller aimed at achieving practical stability and input-to-state stability. Ultimately, the effectiveness of the proposed scheme is validated through numerical simulations.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107677"},"PeriodicalIF":3.7,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Dynamic analysis and composite robust control for detumbling non-cooperative flexible satellites","authors":"Hongwei Wang, Honghua Dai, Khan Amir","doi":"10.1016/j.jfranklin.2025.107678","DOIUrl":"10.1016/j.jfranklin.2025.107678","url":null,"abstract":"<div><div>For the non-cooperative satellite, the use of detumbling approaches to reduce its angular velocity can facilitate capturing missions. A servicing spacecraft mounted with flexible operation rod is considered to be a promising detumbling approach. Mounting numbers of studies have been devoted to the detumbling dynamics and control of the servicing spacecraft. However, almost all studies on the dynamics do not simultaneously consider the effects of flexible solar panels of the satellite and the spacecraft. Moreover, due to the contact-induced disturbance with fast time-varying characteristics, the most existing controllers make the spacecraft unable to realize efficient and safe operations. To solve these problems, a dynamic model of the non-cooperative flexible satellite is established via the absolute coordinate based method, and a dynamic model of the flexible servicing spacecraft is established via the Lagrangian multipliers approach. Besides, a novel composite robust detumbling control method is proposed to significantly improve convergence performance and tracking accuracy, wherein a predefined-time disturbance observer is constructed to accurately estimate the disturbance without requiring the information of the disturbance and its derivative. Extensive simulations are conducted to demonstrate the key dynamic behavior of the spacecraft and the effectiveness of the control method.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107678"},"PeriodicalIF":3.7,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Distributed predefined-time economic dispatch algorithm for microgrid","authors":"Junjie Guan , Shiming Chen , Huijun Xu , Yang Zhang","doi":"10.1016/j.jfranklin.2025.107672","DOIUrl":"10.1016/j.jfranklin.2025.107672","url":null,"abstract":"<div><div>This paper investigates the economic dispatch problem (EDP) concerning a cluster of distributed generators (DGs) within microgrid (MG) interconnected via a connected graph. The objective of each individual DG is to collaboratively minimize the total cost of generation while adhering to power balance constraints and individual generator capacity constraints. A novel distributed predefined-time algorithm is proposed to solve the EDP within a predefined time frame by utilizing distributed weighted gradient method, polynomial feedback control technique and <span><math><mi>ϵ</mi></math></span>-exact penalty function method. The minimum upper bound of the convergence time of the algorithm as an explicit parameter can be preset within any physically allowable range, which remains independent of the initial conditions of generators and easily adjustable. The power balance under the proposed algorithm is always satisfied. Rigorous proof of predefined-time convergence for the proposed algorithm is provided via convex optimization and Lyapunov theory. The effectiveness and superiority of the proposed algorithm are verified by IEEE 14-bus system simulation and comparison results.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107672"},"PeriodicalIF":3.7,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143833476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}