Journal of The Franklin Institute-engineering and Applied Mathematics最新文献_第3页

Auxiliary model-based maximum likelihood multi-innovation recursive least squares identification for multiple-input multiple-output systems 基于辅助模型的多输入多输出系统最大似然多创新递推最小二乘法识别

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-28 DOI: 10.1016/j.jfranklin.2024.107352

Huihui Wang, Qian Zhang, Ximei Liu

引用次数: 0

Unknown input observer-based consensus control of uncertain multi-agent systems under intermittent communication 间歇通信条件下基于未知输入观测器的不确定多代理系统共识控制

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-28 DOI: 10.1016/j.jfranklin.2024.107351

Miaohong Luo , Qing An , Housheng Su , Yin Chen

引用次数: 0

Maneuvering control of nonlinear systems with practical finite-time asymmetric output constraints 具有实用有限时间非对称输出约束的非线性系统的操纵控制

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-28 DOI: 10.1016/j.jfranklin.2024.107359

Jing Yang, Yuqiang Wu

引用次数: 0

Relative-velocity-free output-feedback consensus control for multiple Euler–Lagrange systems based on high-order extended state observer 基于高阶扩展状态观测器的多欧拉-拉格朗日系统无相对速度输出反馈共识控制

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-28 DOI: 10.1016/j.jfranklin.2024.107356

Xinchen Guo , Chuanming Song , Hongxiang Zhang , Zhenying Liang

{"title":"Relative-velocity-free output-feedback consensus control for multiple Euler–Lagrange systems based on high-order extended state observer","authors":"Xinchen Guo , Chuanming Song , Hongxiang Zhang , Zhenying Liang","doi":"10.1016/j.jfranklin.2024.107356","DOIUrl":"10.1016/j.jfranklin.2024.107356","url":null,"abstract":"<div><div>In this paper, an output-feedback controller is devised with the assistance of two types of observers to deal with the leader-following consensus control problem of multiple Euler–Lagrange (EL) systems, which are subject to model uncertain parameters, external disturbances, and unmeasured velocity. First, a local high-order extended state observer is put forward to estimate both the compound disturbance and unmeasured velocity for each EL system, and the boundedness of the estimation errors can be guaranteed under standard assumptions. Then, a novel distributed finite/fixed-time observer is proposed to observe the leader’s position and velocity without using the relative velocity information. Based on these two kinds of observers, a distributed output-feedback control algorithm, which does not depend on any global information, is constructed using the back-stepping method, while some sufficient conditions are derived to guarantee that tracking errors are semi-globally uniformly ultimately bounded. Finally, the effectiveness of the presented control scheme is further verified by a numerical simulation.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 18","pages":"Article 107356"},"PeriodicalIF":3.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573494","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}

引用次数: 0

Stochastic H2/H∞ off-policy reinforcement learning tracking control for linear discrete-time systems with multiplicative noises 具有乘法噪声的线性离散时间系统的随机 H2/H∞ 非策略强化学习跟踪控制

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-28 DOI: 10.1016/j.jfranklin.2024.107349

Yubo Yin , Shixian Luo , Feiqi Deng

{"title":"Stochastic H2/H∞ off-policy reinforcement learning tracking control for linear discrete-time systems with multiplicative noises","authors":"Yubo Yin , Shixian Luo , Feiqi Deng","doi":"10.1016/j.jfranklin.2024.107349","DOIUrl":"10.1016/j.jfranklin.2024.107349","url":null,"abstract":"<div><div>This paper focuses on an infinite horizon mixed <span><math><mrow><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub><mo>/</mo><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></mrow></math></span> model-free optimal tracking control problem for linear discrete-time stochastic systems with multiplicative noises. A model-based algorithm for mixed <span><math><mrow><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub><mo>/</mo><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></mrow></math></span> control of the systems is first proposed to derive the optimal tracking control gain. Then, an off-policy reinforcement learning (RL) algorithm is proposed to solve the stochastic algebraic Riccati equation (SARE) online by collecting a set of sample-path measurement data along the system trajectory. It is further proven that the off-policy RL algorithm is equivalent to the model-based algorithm, and the off-policy RL algorithm not only dose not need to specify external disturbances but also ensures that the probing noise does not bias the algorithm’s convergence. The effectiveness of the proposed control scheme is verified by using a cart-inverted pendulum system.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 1","pages":"Article 107349"},"PeriodicalIF":3.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593379","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}

引用次数: 0

Adaptive predefined-time secure consensus tracking control for nonlinear multiagent systems against unknown false data injection attacks 针对未知虚假数据注入攻击的非线性多代理系统的自适应预定义时间安全共识跟踪控制

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-28 DOI: 10.1016/j.jfranklin.2024.107341

Luyao Wen, Ben Niu, Yulong Ji, Baoyi Zhang

{"title":"Adaptive predefined-time secure consensus tracking control for nonlinear multiagent systems against unknown false data injection attacks","authors":"Luyao Wen, Ben Niu, Yulong Ji, Baoyi Zhang","doi":"10.1016/j.jfranklin.2024.107341","DOIUrl":"10.1016/j.jfranklin.2024.107341","url":null,"abstract":"<div><div>This paper primarily investigates the adaptive predefined-time secure consensus tracking control problem for a class of nonlinear multiagent systems (MASs) against unknown false data injection (FDI) attacks and Bouc–Wen hysteresis. Firstly, by using the Nussbaum functions in the controller design, the conservative limitation that the attack weight’s sign must be consistently positive can not only be relaxed, but also the unknown compound gains problem caused by FDI attacks and input hysteresis can be resolved. Furthermore, the adaptive laws are designed in the form of a new nonlinear differential equation such that the predefined-time stability can be realized. In addition, a feasible adaptive predefined-time secure consensus tracking control strategy is developed based on the backstepping framework and the fuzzy approximation technique. It is demonstrated that all the closed-loop signals are semiglobally uniformly predefined-time-bounded (SGUPTB) and the outputs of all followers eventually synchronously track the output of the leader within a predefined time. Conclusively, a simulation example for the MASs composed of multiple single-link manipulators is provided to testify the effectiveness of the proposed control strategy.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 18","pages":"Article 107341"},"PeriodicalIF":3.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552972","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}

引用次数: 0

Neural network observer-based predefined time tracking control for non-strict feedback nonlinear system: A fault-tolerant performance function approach 基于神经网络观测器的非严格反馈非线性系统预定义时间跟踪控制：容错性能函数方法

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-28 DOI: 10.1016/j.jfranklin.2024.107346

Haihan Wang , Guangdeng Zong , Dong Yang , Ben Niu , Yang Yi

{"title":"Neural network observer-based predefined time tracking control for non-strict feedback nonlinear system: A fault-tolerant performance function approach","authors":"Haihan Wang , Guangdeng Zong , Dong Yang , Ben Niu , Yang Yi","doi":"10.1016/j.jfranklin.2024.107346","DOIUrl":"10.1016/j.jfranklin.2024.107346","url":null,"abstract":"<div><div>Predefined time performance control has been widely used in practical applications due to its ability in improving the system’s transient performance. However, imprecise feedback information from faulty sensors will make this control strategy ineffective and seriously compromise the system performance. This paper concentrates on addressing predefined time tracking control for non-strict feedback nonlinear systems while considering sensor faults. First, a fault-tolerant performance function combined with the settling time regulator is constructed to handle the output constraints in the presence of system faults. Second, in spite of the output feedback information being imprecise, the designed adaptive neural network observer can still obtain the real state information. Third, the designed control scheme can efficiently counteract the negative influences of unknown nonlinearities and faulty sensors, which makes the system achieve asymptotic tracking with predefined time performance. Finally, the acquired control algorithm’s applicability is demonstrated through numerical simulations.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 18","pages":"Article 107346"},"PeriodicalIF":3.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552973","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}

引用次数: 0

Event-triggered nonlinear state estimation with quantized innovations 具有量化创新的事件触发非线性状态估计

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-26 DOI: 10.1016/j.jfranklin.2024.107339

Ying Shen , Yinzi Shui , Zhongyao Hu , Shuwang Du , Bo Chen

引用次数: 0

Non-fragile event-triggered control for switched positive linear systems using state-dependent switching method 利用状态相关切换法实现开关正线性系统的非脆弱事件触发控制

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-26 DOI: 10.1016/j.jfranklin.2024.107340

Zhiye Bai, Baowei Wu, Yue-E Wang, Lili Liu

{"title":"Non-fragile event-triggered control for switched positive linear systems using state-dependent switching method","authors":"Zhiye Bai, Baowei Wu, Yue-E Wang, Lili Liu","doi":"10.1016/j.jfranklin.2024.107340","DOIUrl":"10.1016/j.jfranklin.2024.107340","url":null,"abstract":"<div><div>This article is concerned with the issues of stability and <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>-gain characteristic for switched positive linear systems utilizing bumpless transfer (BT) technique and event-triggered (ET) strategy. Under the state-driven switching policy, a regulatory approach that couples BT and ET is introduced to attenuate the hybrid bumps stemming from switching and triggering moments. Compared with traditional state-driven switching, the proposed hysteresis switching can delay the occurrence of switching. Based on multiple copositive Lyapunov functions, a state feedback controller with an ET mechanism is constructed for positive systems, which reduces the update frequency of the actuator, and this control strategy is extended to the case of actuator faults. It is confirmed that the proposed control scheme can assure the positivity, stability, and <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>-gain performance of the system. Additionally, the Zeno phenomenon is addressed via establishing a positive lower bound for the ET interval. Ultimately, simulation examples containing a turbofan engine model are provided to demonstrate the effectiveness of the proposed approach.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 18","pages":"Article 107340"},"PeriodicalIF":3.7,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573492","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}

引用次数: 0

Improved real-time H∞ control for aero-engines based on the equilibrium manifold expansion model 基于平衡歧管扩展模型的改进型航空发动机实时 H∞ 控制技术

IF 3.7 3区计算机科学

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-26 DOI: 10.1016/j.jfranklin.2024.107342

Fang-Zhou Liu, Yan Shi, Chong-Yi Sun, Xi-Ming Sun

{"title":"Improved real-time H∞ control for aero-engines based on the equilibrium manifold expansion model","authors":"Fang-Zhou Liu, Yan Shi, Chong-Yi Sun, Xi-Ming Sun","doi":"10.1016/j.jfranklin.2024.107342","DOIUrl":"10.1016/j.jfranklin.2024.107342","url":null,"abstract":"<div><div>This paper investigates the transient performance and disturbance rejection control problem for aero-engines based on the equilibrium manifold expansion (EME) model. Considering the operating characteristics of the aero-engine vary greatly during different flight states, it is difficult to ensure the performance of the aero-engine in different states using a single controller designed offline. To solve this problem, this paper proposes an improved real-time <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> controller. Through driving the controller to match the changes in dynamic characteristics of the system, the stability and disturbance rejection performance of the system are guaranteed over a wide range effectively. In addition, a dynamic adjustment mechanism is designed for the disturbance rejection parameter in the proposed real-time <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> controller, which further improves the transient performance of the system. The sufficient conditions to ensure the stability of the system under the designed method are also given. Finally, the effectiveness and superiority of the proposed method are verified through an aero-engine numerical simulation program and a hardware-in-the-loop (HIL) experiment.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 18","pages":"Article 107342"},"PeriodicalIF":3.7,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587380","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}

引用次数: 0