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}
{"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}
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":"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}
{"title":"Error-based observer with dual compensations for disturbance rejection in electro-optical tracking system","authors":"Yu Chen , Shanlin Zhuang , Jiuqiang Deng, Yao Mao","doi":"10.1016/j.jfranklin.2025.107624","DOIUrl":"10.1016/j.jfranklin.2025.107624","url":null,"abstract":"<div><div>The electro-optical tracking system (ETS) on the motion platform can only acquire the system tracking error of the camera output. This poses a significant challenge to disturbance rejection. Existing error-based disturbance rejection methods have a limited disturbance rejection effect due to the filter bandwidth constraint. To address this problem, this paper proposes an error-based observer structure based on dual filters (DEBO) to suppress the contradiction between the disturbance rejection effect and the noise amplification. The dependence on the filter bandwidth is alleviated by the method of superposition processing for disturbance rejection. The stability of the proposed structure is also demonstrated using frequency domain analysis. Meanwhile, specific disturbance rejection experiments are designed to verify the effectiveness of the method and compared with the standard error-based observer (EBO). The results show that the DEBO structure effectively improves the disturbance rejection effect of the system and avoids the noise amplification. It provides a new idea for improving the design of disturbance rejection method in electro-optical tracking system.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107624"},"PeriodicalIF":3.7,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629189","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":"Constrained attitude control of flexible spacecraft with external disturbances and stochastic uncertainties on SO(3)","authors":"Shengjie Zhu , Xiaofeng Zong , Yuanyuan Zhang","doi":"10.1016/j.jfranklin.2025.107614","DOIUrl":"10.1016/j.jfranklin.2025.107614","url":null,"abstract":"<div><div>This paper addresses constrained attitude control problems of flexible spacecraft on SO(3) subject to external disturbances and stochastic uncertainties without modal variable measurement. To handle the attitude constraints, an artificial potential function (APF) is constructed based on the rotation matrix. By combining the adaptive super-twisting control technique and the APF, an adaptive robust control law is proposed to achieve constrained attitude control of flexible spacecraft without prior information on the bound of the norm of flexible vibration and external disturbance. The results are then extended to the case that stochastic uncertainties exist and the adaptive robust control law is modified by designing a Lyapunov-function-based control parameter. Numerical simulations are presented to demonstrate the effectiveness of the proposed control laws.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107614"},"PeriodicalIF":3.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577061","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":"Hybrid observer-based fixed-time tracking control for constrained nonlinear systems","authors":"Zihang Guo, Shuangsi Xue, Huan Li, Junkai Tan, Dapeng Yan, Hui Cao","doi":"10.1016/j.jfranklin.2025.107610","DOIUrl":"10.1016/j.jfranklin.2025.107610","url":null,"abstract":"<div><div>This paper introduces a hybrid observer-based fixed-time tracking control for constrained nonlinear systems. Multiple factors constrain the considered nonlinear systems: internally by dynamic uncertainties and full-state constraints, and externally by external disturbances, actuator faults, and input saturation. A hybrid observer, combining the bias RBFNN (radial basis function neural network) with fixed-time sliding mode, is proposed. The bias RBFNN approximates dynamic uncertainties, while an extended state is designed to estimate the network approximation error, external disturbances, and actuator faults and feed them back to the controller within a fixed time. Meanwhile, the hybrid observer can acquire the velocity information simultaneously. To prevent system states from exceeding predefined boundaries, a barrier function-based state transformation method is implemented. An anti-windup compensator is designed to mitigate the adverse effects caused by input saturation. The semi-globally ultimately fixed-time boundedness (SGUFTB) of the closed-loop system is proven through Lyapunov theory. The effectiveness of the proposed control strategy is demonstrated through simulation and comparative results.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107610"},"PeriodicalIF":3.7,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552021","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":"Performing accelerated convergence in decentralized economic dispatch over dynamic directed networks","authors":"Yunshan Lv , Hailing Xiong , Fuqing Zhang , Shengying Dong","doi":"10.1016/j.jfranklin.2025.107611","DOIUrl":"10.1016/j.jfranklin.2025.107611","url":null,"abstract":"<div><div>This article delves into the economic dispatch problem (EDP) within smart grids, specifically exploring it in time-varying directed networks. The objective is to allocate generation power efficiently among generators to fulfill load demands while minimizing the total generation cost, adhering to local capacity constraints. Each generator carries its unique local generation cost, and the total cost is calculated by summing these individual costs. To this aim, a novel algorithm (ADED-TVD) <u>A</u>ccelerated <u>D</u>ecentralized <u>E</u>conomic <u>D</u>ispatch Algorithm is introduced, which is suitable for <u>T</u>ime-<u>V</u>arying <u>D</u>irected networks well. ADED-TVD takes inspiration from the parameter momentum accelerated technique to improve the convergence with different parameters resulting in different momentum (Nesterov or heavy-ball) methods. In addition, ADED-TVD lies in time-varying directed communication networks, where theoretical evidence of linear convergence towards the optimal dispatch is offered. Also, explicit bounds for the step-size and momentum parameters are obtained. Finally, simulations that delve into various aspects of EDP in smart grids are presented.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107611"},"PeriodicalIF":3.7,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563693","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":"2026 Bower Call","authors":"","doi":"10.1016/j.jfranklin.2025.107626","DOIUrl":"10.1016/j.jfranklin.2025.107626","url":null,"abstract":"","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 5","pages":"Article 107626"},"PeriodicalIF":3.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549347","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}