Nonlinear Analysis-Hybrid Systems最新文献_第9页

Periodic intermittent control for almost sure stability of stochastic strict-feedback semi-Markov jump systems 实现随机严格反馈半马尔可夫跃迁系统几乎确定稳定性的周期性间歇控制

IF 3.7 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-07-05 DOI: 10.1016/j.nahs.2024.101524

Chang Gao , Yu Xiao , Hao Dong , Beibei Guo

引用次数: 0

Stabilization by delay feedback control for highly nonlinear switched stochastic systems with non-differentiable delay 通过延迟反馈控制实现具有非可变延迟的高度非线性开关随机系统的稳定

IF 3.7 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-07-03 DOI: 10.1016/j.nahs.2024.101525

Ying Zhao , Quanxin Zhu

引用次数: 0

Ergodicity for population dynamics by pure-jump noise with switching 带开关的纯跳跃噪声种群动力学的均衡性

IF 3.7 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-06-29 DOI: 10.1016/j.nahs.2024.101521

Zhenzhong Zhang , Wenze Chen , Hanlu Yang , Jinying Tong , Xin Zhao

引用次数: 0

Competition in the nutrient-driven self-cycling fermentation process 营养物质驱动的自循环发酵过程中的竞争

IF 3.7 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-06-25 DOI: 10.1016/j.nahs.2024.101519

Stacey R. Smith? , Tyler Meadows , Gail S.K. Wolkowicz

引用次数: 0

Asynchronous model predictive control of LPV systems with stochastic communication protocol 带有随机通信协议的 LPV 系统异步模型预测控制

IF 3.7 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-06-25 DOI: 10.1016/j.nahs.2024.101522

Hongjie Pang , Jun Cheng , Huaicheng Yan , Dan Zhang , Wenhai Qi

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引用次数: 0

Trajectory tracking in linear complementarity systems with and without state jumps: A passivity approach 有状态跳跃和无状态跳跃的线性互补系统中的轨迹跟踪：被动方法

IF 3.7 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-06-21 DOI: 10.1016/j.nahs.2024.101520

Aya Younes, Félix Miranda-Villatoro, Bernard Brogliato

引用次数: 0

Finite Elements with Switch Detection for numerical optimal control of nonsmooth dynamical systems with set-valued heaviside step functions 带开关检测的有限元用于具有集值重边阶跃函数的非光滑动力系统的数值优化控制

IF 4.2 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-06-08 DOI: 10.1016/j.nahs.2024.101518

Armin Nurkanović , Anton Pozharskiy , Jonathan Frey , Moritz Diehl

{"title":"Finite Elements with Switch Detection for numerical optimal control of nonsmooth dynamical systems with set-valued heaviside step functions","authors":"Armin Nurkanović , Anton Pozharskiy , Jonathan Frey , Moritz Diehl","doi":"10.1016/j.nahs.2024.101518","DOIUrl":"https://doi.org/10.1016/j.nahs.2024.101518","url":null,"abstract":"<div><p>This paper develops high-accuracy methods for the numerical solution of optimal control problems subject to nonsmooth differential equations with set-valued Heaviside step functions. An important subclass of these systems are Filippov systems. By writing the Heaviside step function as the solution map of a linear program and using its optimality conditions, the initial nonsmooth system is rewritten into an equivalent Dynamic Complementarity System (DCS). The Finite Elements with Switch Detection (FESD) method (Nurkanović et al., 2024) was originally developed for Filippov systems transformed via Stewart’s reformulation into DCS (Stewart, 1990). This paper extends it to the above mentioned class of nonsmooth systems. The key ideas are to start with a standard Runge–Kutta method for the DCS and to let the integration step sizes to be degrees of freedom. Then, additional conditions are introduced to allow implicit but accurate switch detection and to remove possible spurious degrees of freedom when no switches occur. The theoretical properties of the FESD method are studied. The motivation for these developments is to obtain a computationally tractable formulation of nonsmooth optimal control problems. Numerical simulations and optimal control examples are used to illustrate the favorable properties of the proposed approach. All methods introduced in this paper are implemented in the open-source software package <span>nosnoc</span> (Nurkanović and Diehl, 2022).</p></div>","PeriodicalId":49011,"journal":{"name":"Nonlinear Analysis-Hybrid Systems","volume":"54 ","pages":"Article 101518"},"PeriodicalIF":4.2,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751570X24000554/pdfft?md5=70b77995cfbab380b741b9d892cf00bf&pid=1-s2.0-S1751570X24000554-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141291173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic event-triggered control of linear continuous-time systems using a positive systems approach 使用正系统方法对线性连续时间系统进行动态事件触发控制

IF 4.2 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-06-07 DOI: 10.1016/j.nahs.2024.101508

Safeyya Alyahia , Corina Barbalata , Michael Malisoff , Frédéric Mazenc

引用次数: 0

Stabilization of delayed semi-Markov jump neural networks with actuator faults: A quantized hybrid control approach 具有致动器故障的延迟半马尔可夫跃迁神经网络的稳定：量化混合控制方法

IF 4.2 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-06-04 DOI: 10.1016/j.nahs.2024.101509

N. Aravinth , R. Sakthivel , N. Birundha devi , Ardashir Mohammadzadeh , S. Saat

{"title":"Stabilization of delayed semi-Markov jump neural networks with actuator faults: A quantized hybrid control approach","authors":"N. Aravinth , R. Sakthivel , N. Birundha devi , Ardashir Mohammadzadeh , S. Saat","doi":"10.1016/j.nahs.2024.101509","DOIUrl":"https://doi.org/10.1016/j.nahs.2024.101509","url":null,"abstract":"<div><p>The presented research is to focus on the issue of fault alarm-based quantized hybrid control strategy for semi-Markov jump neural networks subject to multiple vulnerable factors, namely, actuator faults, quantization effects and time-varying delays. Particularly, the fault-based alarm signal with a threshold value is proposed for controller switching and also for preventing false alarms. Precisely, a logarithmic quantizer is incorporated in the control design to adjust the transmission of signals and to enhance better robustness on system performance. Besides, a mixed <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> and passivity performance is employed in order to handle the traces of external disturbances. By proposing Lyapunov–Krasovskii functional involving time delays along with Wirtinger based integral inequality, the anticipated control gain parameters that confirm the stochastic stability of the addressed system can be determined with the assistance of linear matrix inequality. The excellent dynamic performances of the proposed control scheme are clarified through two numerical examples, whereas the stability of the system is restrained with the timely alert performance of the configured alarm signal.</p></div>","PeriodicalId":49011,"journal":{"name":"Nonlinear Analysis-Hybrid Systems","volume":"54 ","pages":"Article 101509"},"PeriodicalIF":4.2,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141242352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Output-feedback stabilization of probabilistic Boolean control networks 概率布尔控制网络的输出反馈稳定化

IF 4.2 2区计算机科学

Nonlinear Analysis-Hybrid Systems Pub Date : 2024-05-28 DOI: 10.1016/j.nahs.2024.101505

Shuting Zhang , Xueying Ding , Jianquan Lu , Jungang Lou , Yang Liu

引用次数: 0