{"title":"Distributed fault-tolerant consensus for two-time-scale multiagent systems against multiple faults and random attacks via a generalized two-step transmission mechanism","authors":"Qing Hao , Mengzhuo Luo , Jun Cheng , Kaibo Shi","doi":"10.1016/j.jfranklin.2025.107640","DOIUrl":"10.1016/j.jfranklin.2025.107640","url":null,"abstract":"<div><div>This paper delves into an event-based two-step transmission mechanism (TSTM) within multi-agent systems (MASs), particularly addressing the consensus control challenges posed by cyber–physical threats (CPTs). Firstly, to bolster the security and reliability of MASs in the face of CPTs, we introduce a sophisticated distributed normalized observer-controller framework which is adept at more precisely estimating unknown states and faults. Subsequently, we devised a distributed fault-tolerant consensus control (DFTCC) mechanism, which sustains the resilience of MASs against malicious attacks, compensates for system failures, and exhibits remarkable robustness to noise under challenging CPTs. Secondly, in order to mitigate network congestion, expedite data transmission rates, and optimize overall performance metrics, we propose a generalized event-based TSTM, tailored for MASs. In the initial phase, we employ a traditional event-triggered mechanism (ETM) designed to filter and temporarily store critical data trigger groups; subsequently probabilistic methods are employed to ascertain the real release packets (RRP), thereby enhancing accuracy significantly. This methodology adeptly addresses consensus challenges within MAS by substantially alleviating system burdens while ensuring instantaneous communication among components. Finally, by concurrently examining the dynamics of both fast and slow MASs through singular perturbation theory frameworks, we decompose an interrelated class of two-time-scale MASs (TTSMAS) into distinct yet discernible dynamics characterized by slower temporal scales. Moreover, through simulation experiments this methodology has proven remarkably effective in significantly enhancing the performance efficiency of MASs.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107640"},"PeriodicalIF":3.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629188","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}
Víctor C. da S. Campos , Armando A. Neto , Douglas G. Macharet
{"title":"A semi-Lagrangian approach for time and energy path planning optimization in static flow fields","authors":"Víctor C. da S. Campos , Armando A. Neto , Douglas G. Macharet","doi":"10.1016/j.jfranklin.2025.107612","DOIUrl":"10.1016/j.jfranklin.2025.107612","url":null,"abstract":"<div><div>Efficient path planning for autonomous mobile robots is a critical problem across numerous domains, where optimizing both <em>time</em> and <em>energy</em> consumption is paramount. This paper introduces a novel methodology that considers the dynamic influence of an environmental flow field and geometric constraints, including obstacles and forbidden zones, enriching the complexity of the planning problem. Here, we formulate it as a multi-objective optimal control problem, and propose a novel transformation called <em>Harmonic Transformation</em>, applying a semi-Lagrangian scheme to solve it. The set of Pareto efficient solutions is obtained considering two distinct approaches: (<span><math><mi>i</mi></math></span>) a deterministic method referred to as Concurrent Policy Iteration (CPI); and (<span><math><mrow><mi>i</mi><mi>i</mi></mrow></math></span>) an evolutionary-based one, called Multi-objective Evolutionary Policy Iteration (MEPI). Both methods were designed to make use of the proposed Harmonic Transformation. Through an extensive analysis of these approaches, comparing them with the state-of-the-art literature, we demonstrate their efficacy in finding optimized paths. Generally speaking, the Pareto Set of solutions found in our experiments indicates that the CPI demonstrated better performance in finding solutions close to the time-optimal one, whereas the MEPI was most successful in finding solutions close to the energy-optimal solution.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 7","pages":"Article 107612"},"PeriodicalIF":3.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644009","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":"Date-driven deadbeat sliding mode control using input/output differences","authors":"Mingxuan Sun, Zhengyang Zhu, Xiongxiong He","doi":"10.1016/j.jfranklin.2025.107622","DOIUrl":"10.1016/j.jfranklin.2025.107622","url":null,"abstract":"<div><div>This paper addresses the problem of data-driven control for a general class of nonlinear systems, for which dynamic parametrization is proposed to attain input/output difference representations. By choosing an appropriate switching variable, the adopted strategy of dead-beat sliding-mode control applies the dead-beat reaching law; and asserts global sliding mode that assures the prescribed dynamic performance, with the aid of the parameter estimation and the prediction-error observation. The performance analysis is carried out for deriving absolute attracting layer bound, steady-state error band of the tracking error, and the convergence steps. The control design that does not require exact knowledge about the dynamics structures and system orders uses only the input/output measurement data. The novelty also lies in the fixed-step convergence of closed-loop error dynamics. Numerical results are presented to verify effectiveness of the proposed data-driven control scheme.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107622"},"PeriodicalIF":3.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620545","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}
Hojjatollah Shokri Kaveh , Masoud Hajarian , Anthony T. Chronopoulos
{"title":"Efficient image reconstruction via regularized variable s-step conjugate gradient method for Sylvester matrix equations","authors":"Hojjatollah Shokri Kaveh , Masoud Hajarian , Anthony T. Chronopoulos","doi":"10.1016/j.jfranklin.2025.107634","DOIUrl":"10.1016/j.jfranklin.2025.107634","url":null,"abstract":"<div><div>In image and signal processing, one or more transformations are applied to the desired image (signal), and the original image (signal) should be reconstructed by reversing these transformations. One important equation for modeling image (signal) processing problems is the Sylvester matrix equation, which modifies the image by applying two transformations on both sides. In this paper, we introduce an algorithm for solving the Sylvester matrix equation based on the conjugate gradient algorithm. This algorithm employs the <span><math><mi>s</mi></math></span>-step technique to reduce communication overhead and aims to enhance its performance by adjusting the <span><math><mi>s</mi></math></span> parameter during the iterations. Since the algorithm can become unstable with a sudden increase in <span><math><mi>s</mi></math></span>, this instability is addressed through the use of mapped regularization filters. Finally, the effectiveness and efficiency of the algorithm are evaluated using several numerical examples.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107634"},"PeriodicalIF":3.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143636792","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}
Shengli Du , Tianli Xu , Xue-Fang Wang , Honggui Han , Junfei Qiao
{"title":"Distributed adaptive Nash equilibrium seeking in high-order multiagent systems under time-varying unknown disturbances","authors":"Shengli Du , Tianli Xu , Xue-Fang Wang , Honggui Han , Junfei Qiao","doi":"10.1016/j.jfranklin.2025.107639","DOIUrl":"10.1016/j.jfranklin.2025.107639","url":null,"abstract":"<div><div>This paper aims to tackle two complex challenges in achieving the Nash equilibrium for high-order multiagent systems with unknown disturbances: addressing the interconnection issues arising from the high-order systems, and mitigating the oscillations caused by time-varying unknown disturbances. To address such challenges, we develop a distributed adaptive Nash equilibrium seeking algorithm utilizing a novel state observer comprising the gradient play theory, the leader-following consensus protocol, and the error sign function. This new approach not only achieves the seeking of the Nash equilibrium but also effectively accomplishes the goal of disturbance suppression. The superiority of the proposed strategy over the existing seeking schemes lies in adopting adaptive feedback in the strategy design process. The asymptotic seeking of the Nash equilibrium is then proved by using the input-to-state stability theorem and Barbalat lemma, and sufficient conditions ensuring the convergence are developed. Three simulations consisting of robots with mobile sensor networks, the three-order multiagent system, and the energy competition within power generation systems are conducted to illustrate the effectiveness of the proposed method.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107639"},"PeriodicalIF":3.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628329","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}
Cong Wang , Li Li , Minghui Yao , Qiliang Wu , Yan Niu
{"title":"Stability analysis of generalized second-order nonlinear control systems","authors":"Cong Wang , Li Li , Minghui Yao , Qiliang Wu , Yan Niu","doi":"10.1016/j.jfranklin.2025.107606","DOIUrl":"10.1016/j.jfranklin.2025.107606","url":null,"abstract":"<div><div>To overcome the constant boundedness and slow time-varying constraints of disturbances, this paper presents a generalized second-order nonlinear control algorithm (GSONCA) and resulting a generalized second-order nonlinear control system (GSONCS), and further studies the stability and disturbance rejection of GSONCS. Unlike existing similar works, the GSONCS is a universal second-order system framework including nonlinear, time-varying, and switching terms, which is able to deal with time-dependent and state-dependent disturbances. All possible equilibrium points are discussed for the GSONCS, and the existence condition of a unique equilibrium point is constructed. Several practical stability inequalities of coefficients are established for the GSONCS where the coefficients can be almost arbitrary functions of state variable and time, which unify the stability criterion of second-order linear and nonlinear systems. Based on the proposed stability results, the disturbance rejection conditions of GSONCS are derived, and the good robustness of state-dependent-type second-order nonlinear systems is confirmed. As the applications of GSONCS, the parameter tuning methods of popular second-order algorithms are provided, and simulations on DC-DC converters are presented to validate the proposed GSONCA.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107606"},"PeriodicalIF":3.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620590","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}
Yuelei Yu , Shuai Sui , Shaocheng Tong , C.L. Philip Chen
{"title":"Fuzzy adaptive event-triggered predefined time control for stochastic nonlinear systems","authors":"Yuelei Yu , Shuai Sui , Shaocheng Tong , C.L. Philip Chen","doi":"10.1016/j.jfranklin.2025.107631","DOIUrl":"10.1016/j.jfranklin.2025.107631","url":null,"abstract":"<div><div>This article investigates the predefined time fuzzy adaptive event-triggered control (ETC) issue for stochastic nonlinear systems. Fuzzy logic systems (FLSs) are used to recognize unknown nonlinear dynamics, and fuzzy state estimators are designed to solve the problems caused by unmeasurable states. To save network resources and directly activate control behaviors by applying triggered state signals, a dynamically adjustable event-triggered mechanism (ETM) is established. The proposed method can directly preset the control problem of the stabilization time of the system, and the control strategy is easier to implement due to fewer design parameters in this method. An adaptive fuzzy event-triggered predefined time control scheme is proposed by backstepping control technique. The tanh function is introduced in the control design process to prevent the singularity problem. The semiglobally practically predefined time stochastic stabilizable (SPPSS) of the control system is demonstrated through the Lyapunov theory. Finally, simulations are shown to verify the effectiveness of the investigated theory.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107631"},"PeriodicalIF":3.7,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143636791","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":"Efficient robust model predictive control for uncertain norm-bounded Markov jump systems with persistent disturbances via matrix partition","authors":"Yuchang Feng , Xue Li , Donglin Shi , Jun Ai","doi":"10.1016/j.jfranklin.2025.107633","DOIUrl":"10.1016/j.jfranklin.2025.107633","url":null,"abstract":"<div><div>In this paper, an efficient robust model predictive control scheme for the uncertain norm-bounded Markov jump system with persistent disturbances and physical constraints is proposed. The affine input control is applied to solve the state feedback gain matrices off-line and a new matrix partition method is considered to decrease the number of variables that need to be optimized on-line. The quadratic boundedness and the robust invariant ellipsoid set are used to guarantee the stochastic stability of the closed-loop augmented MJS. Therefore, the scheme advances the efficiency of on-line calculation and improves the control performance and the robustness of the closed-loop augmented MJS. Two numerical examples confirm the scheme.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 7","pages":"Article 107633"},"PeriodicalIF":3.7,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683634","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":"Robust sliding mode boundary control for uncertain reaction–diffusion systems","authors":"Wei-Jie Zhou , Kai-Ning Wu , Xiao-Zhen Liu","doi":"10.1016/j.jfranklin.2025.107623","DOIUrl":"10.1016/j.jfranklin.2025.107623","url":null,"abstract":"<div><div>This paper investigates the robust sliding mode boundary stabilization for uncertain reaction–diffusion systems (URDSs). Firstly, to drive the state trajectories to reach equilibrium within the sliding phase, a specified sliding mode surface (SMS) is constructed. Emphasis is placed on designing a suitable sliding mode boundary controller (SMBCr), which guides the state trajectories to the designed SMS in finite time. Furthermore, by employing the Lyapunov functional method and advanced inequality techniques, a sufficient criterion is established to ensure robust asymptotic stability. Secondly, the observer-based robust sliding mode boundary stabilization is addressed for cases where system information is inaccessible. An appropriate observer-based SMBCr is developed to guarantee the finite-time reachability of the observer-based SMS. Based on this, the system’s robust asymptotic stability under observer-based sliding mode boundary control (SMBC) is ensured. Finally, the theoretical results are validated through two illustrative examples.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107623"},"PeriodicalIF":3.7,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620592","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":"Robust adaptive safe effective dynamic coverage control of nonlinear systems and its application to differential robots","authors":"Xingzhe Han , Lijun Long","doi":"10.1016/j.jfranklin.2025.107625","DOIUrl":"10.1016/j.jfranklin.2025.107625","url":null,"abstract":"<div><div>This paper focuses on the problem of robust adaptive safe effective dynamic coverage control for a class of nonlinear systems with unknown parameters and disturbances, and this class of nonlinear systems can represent general robot systems. Novel definitions of effective dynamic coverage control function and robust adaptive control barrier function (RACBF) are proposed for two cases of fully connected networks and partial networks, respectively, where a logic switching mechanism is used to obtain estimation of disturbance. Meanwhile, a safe dynamic coverage framework for robots is proposed and a safe and effective dynamic coverage controller is obtained by solving quadratic programming (QP). This controller can effectively solve the problem of potential conflict between stability and safety objectives in coverage control. Finally, simulation results of the safe dynamic coverage control of a differential robot in 2D space are given to verify the effectiveness of the design method.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107625"},"PeriodicalIF":3.7,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610065","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}