International Journal of Robust and Nonlinear Control最新文献

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Nonfragile Sliding Mode Control of Fractional-Order Complex Networked Systems via Combination Event-Triggered Approach 基于组合事件触发方法的分数阶复杂网络系统非脆弱滑模控制
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-23 DOI: 10.1002/rnc.8009
Xin Meng, Baoping Jiang, Hamid Reza Karimi
{"title":"Nonfragile Sliding Mode Control of Fractional-Order Complex Networked Systems via Combination Event-Triggered Approach","authors":"Xin Meng,&nbsp;Baoping Jiang,&nbsp;Hamid Reza Karimi","doi":"10.1002/rnc.8009","DOIUrl":"https://doi.org/10.1002/rnc.8009","url":null,"abstract":"<p>This work addresses the problem of developing a nonfragile sliding mode observer for fractional-order complex networked systems (FO-CNS) under stochastic network attacks. The proposed approach employs a combination of event-triggered techniques. First, a nonfragile fractional-order state observer is developed, enabling the design of a suitable sliding surface function. Next, a combination event-triggered condition (CETC) is introduced, utilizing sampled error and sliding mode error vectors. For guaranteeing the stability of closed-loop systems, sufficient conditions are derived by solving the linear matrix inequalities. Moreover, an improved self-triggered condition is developed to avoid Zeno behavior. This condition relies on a predefined event-triggered mechanism. The Gronwall–Bellman inequality is employed to determine a positive lower bound of the trigger sequence, ensuring the avoidance of infinite triggering within a finite time interval. Finally, two numerical simulations are provided to demonstrate the effectiveness and feasibility of the proposed method.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 13","pages":"5685-5704"},"PeriodicalIF":3.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.8009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Homothetic Tube-Based Adaptive MPC 基于同质管的自适应MPC
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-23 DOI: 10.1002/rnc.8010
Abhishek Dhar, Anchita Dey, Shubhendu Bhasin
{"title":"Homothetic Tube-Based Adaptive MPC","authors":"Abhishek Dhar,&nbsp;Anchita Dey,&nbsp;Shubhendu Bhasin","doi":"10.1002/rnc.8010","DOIUrl":"https://doi.org/10.1002/rnc.8010","url":null,"abstract":"<p>This article presents a homothetic tube-based adaptive model predictive control strategy to handle discrete-time linear time-invariant (LTI) systems with parametric uncertainties and hard constraints imposed on the states and the control inputs. The proposed solution systematically fuses a gradient descent-based adaptive parameter identification strategy with a suitably designed tube-based model predictive controller (MPC). An estimated model is utilized in the MPC for the purpose of state predictions. The parameters of the estimated plant model are updated at every time instant through an adaptive update law by utilizing the measured states and inputs from the uncertain plant. The task of satisfying the hard constraints in the presence of errors in state predictions, arising due to model mismatch between the estimated model and the uncertain plant, is accounted for by suitably tightening the constraints within the MPC optimization routine. The proposed tube-based adaptive MPC is analytically proved to be recursively feasible if initially feasible, and the closed-loop states are guaranteed to be bounded and asymptotically converging to the origin. The claimed properties are further validated through a simulation example.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 13","pages":"5705-5716"},"PeriodicalIF":3.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.8010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Data-Driven Stochastic Game Theoretic Differential Dynamic Programming 数据驱动随机博弈论微分动态规划
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-22 DOI: 10.1002/rnc.7984
Mohammad Sarbaz, Wei Sun
{"title":"Data-Driven Stochastic Game Theoretic Differential Dynamic Programming","authors":"Mohammad Sarbaz,&nbsp;Wei Sun","doi":"10.1002/rnc.7984","DOIUrl":"https://doi.org/10.1002/rnc.7984","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper introduces a novel approach for designing optimal control using data-driven Stochastic Game Theoretic Differential Dynamic Programming (SGT-DDP). The proposed method addresses unknown stochastic systems by approximating both drift and diffusion dynamics. The drift dynamics is estimated via Gaussian Process Regression (GPR) using input–output data. The diffusion dynamics is approximated from the noise data, which is extracted through subtracting the noisy output from the smoothed output. Subsequently, the binning method is combined with GPR to obtain the approximate model of the diffusion dynamics. These approximations are integrated into the SGT-DDP framework to compute optimal control policies. Simulations on benchmark nonlinear systems under unknown dynamics demonstrate the effectiveness of the method.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 13","pages":"5343-5354"},"PeriodicalIF":3.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910028","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
Performance Analysis of MIMO Network Control System With Limited Capacity Queue System Under Packet Loss 丢包条件下有限容量队列MIMO网络控制系统性能分析
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-22 DOI: 10.1002/rnc.7987
Xiangchen Du, Xisheng Zhan, Ming Chi, Jie Wu, Huaicheng Yan
{"title":"Performance Analysis of MIMO Network Control System With Limited Capacity Queue System Under Packet Loss","authors":"Xiangchen Du,&nbsp;Xisheng Zhan,&nbsp;Ming Chi,&nbsp;Jie Wu,&nbsp;Huaicheng Yan","doi":"10.1002/rnc.7987","DOIUrl":"https://doi.org/10.1002/rnc.7987","url":null,"abstract":"<div>\u0000 \u0000 <p>This article investigates the effects of various network factors and queuing systems on the performance of network control systems (NCSs). Specifically, the performa<b>nce limitati</b>ons of systems with white Gaussian noise (WGN) in the forward and feedback channels, as well as with packet loss and queuing systems in the feedback channels was studied. In this investigation, queuing theory was used to analyze the influence of queuing systems on the performance of NCSs when the system capacity is limited. We obtain the performance expression of NCSs by internal and external factorization, partial factorization, and spectrum decomposition methods. The results reveal that the system performance is affected not only by inherent characteristics of the system such as unstable zeros, nonminimum phase (NMP) zeros with their directions, and time delay but also by network factors such as packet loss and WGN. Finally, several simulations were presented to verify the theoretical results.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 13","pages":"5380-5390"},"PeriodicalIF":3.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910027","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
The Aitken Accelerated Gradient Algorithm for a Class of Dual-Rate Volterra Nonlinear Systems Utilizing the Self-Organizing Map Technique 利用自组织映射技术求解一类双速率Volterra非线性系统的Aitken加速梯度算法
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-22 DOI: 10.1002/rnc.7986
Junwei Wang, Weili Xiong, Feng Ding
{"title":"The Aitken Accelerated Gradient Algorithm for a Class of Dual-Rate Volterra Nonlinear Systems Utilizing the Self-Organizing Map Technique","authors":"Junwei Wang,&nbsp;Weili Xiong,&nbsp;Feng Ding","doi":"10.1002/rnc.7986","DOIUrl":"https://doi.org/10.1002/rnc.7986","url":null,"abstract":"<div>\u0000 \u0000 <p>This article focuses on the parameter estimation issues for dual-rate Volterra fractional-order autoregressive moving average models. In the case of dual-rate sampling, we derive a dual-rate identification model of the system and implement intersample output estimation with the help of an auxiliary model method. Then, combined with the self-organizing map technique, we propose an Aitken multi-innovation gradient-based iterative algorithm. The system parameters are estimated using the Aitken multi-innovation gradient-based iterative algorithm, whereas the differential orders are determined using self-organizing map method. Moreover, the computational cost of the proposed algorithm is analyzed using the floating point operation. Finally, the convergence analysis and simulation examples show the effectiveness of the proposed algorithm.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 13","pages":"5364-5379"},"PeriodicalIF":3.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910029","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
Distributed Stochastic Control for a Class of Discrete-Time Interconnected Systems With Communication Losses 一类具有通信损失的离散互联系统的分布随机控制
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-21 DOI: 10.1002/rnc.7962
Xiaojuan Xue, Dan Zhang, Zhengtao Ding, Li Xu
{"title":"Distributed Stochastic Control for a Class of Discrete-Time Interconnected Systems With Communication Losses","authors":"Xiaojuan Xue,&nbsp;Dan Zhang,&nbsp;Zhengtao Ding,&nbsp;Li Xu","doi":"10.1002/rnc.7962","DOIUrl":"https://doi.org/10.1002/rnc.7962","url":null,"abstract":"<div>\u0000 \u0000 <p>This article focuses on the problems of analysis and synthesis for a class of discrete-time interconnected systems having random communication losses among subsystems. To deal with distributed control problems for the considered systems, a new model is coupled as a class of Markov jump systems with some structured uncertainty parameters. Then, based on this new model, some sufficient conditions are presented to ensure the required performance in terms of solvable linear matrix inequalities (LMIs). To design an appropriate distributed controller to neutralize the uncertainties, communication losses, and disturbances, a feasible distributed algorithm is developed with respect to the new system model to ensure that the states and performance of the resulting closed-loop system converge to the ideal ones. The derived results are based on stochastic Lyapunov theory and <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> criterion. Finally, numerical simulations are conducted to validate the proposed algorithms.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 12","pages":"5061-5076"},"PeriodicalIF":3.2,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144624886","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
Cooperative Formation Control for the Air-Sea Heterogeneous Unmanned System Under Adaptive Switching Topology 自适应切换拓扑下海空异构无人系统协同编队控制
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-21 DOI: 10.1002/rnc.7989
Can Ke, Huifang Chen, Lei Xie
{"title":"Cooperative Formation Control for the Air-Sea Heterogeneous Unmanned System Under Adaptive Switching Topology","authors":"Can Ke,&nbsp;Huifang Chen,&nbsp;Lei Xie","doi":"10.1002/rnc.7989","DOIUrl":"https://doi.org/10.1002/rnc.7989","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, the cooperative formation control problem of an air-sea heterogeneous unmanned system (ASHS) under adaptive switching topology is investigated. And a cooperative control method, consisting of a cooperative path-planning algorithm for leaders in different unmanned domains and a formation control algorithm for followers in each unmanned domain, is proposed. The proposed method involves four aspects. First, a neighboring node decision mechanism is designed to determine the neighboring nodes of each unmanned vehicle and establish the network topology of the ASHS, where both broadcast and unicast communication modes are considered. Second, to reduce communication energy consumption for the cooperative control, a greedy optimization-based topology switching mechanism is presented to minimize the number of neighboring nodes of each unmanned vehicle. Third, a cooperative path-planning algorithm using an improved artificial potential field is proposed to handle the path planning with obstacle avoidance for leaders in different unmanned domains. Finally, assuming that the obstacle avoidance by followers is superior to the formation control by the group, an adaptive hierarchical formation control algorithm is proposed for followers in each unmanned domain. Simulation results show that the cooperative control of the ASHS can be achieved with the proposed method. Moreover, from the perspective of communication energy consumption for the cooperative formation control in the ASHS, the broadcast mode is a good choice for the state information exchange.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 13","pages":"5402-5419"},"PeriodicalIF":3.2,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910111","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
Predefined-Time Event-Triggered Adaptive Tracking Control for Switched Nonlinear Systems With Constraints Related to Full States 具有完整状态约束的切换非线性系统的预定义时间事件触发自适应跟踪控制
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-21 DOI: 10.1002/rnc.8000
Lihong Gao, Zhen Wang, Xia Huang, Hao Shen
{"title":"Predefined-Time Event-Triggered Adaptive Tracking Control for Switched Nonlinear Systems With Constraints Related to Full States","authors":"Lihong Gao,&nbsp;Zhen Wang,&nbsp;Xia Huang,&nbsp;Hao Shen","doi":"10.1002/rnc.8000","DOIUrl":"https://doi.org/10.1002/rnc.8000","url":null,"abstract":"<div>\u0000 \u0000 <p>This article proffers a predefined-time (PDT) event-triggered (ET) adaptive tracking control strategy for a class of switched nonlinear systems (SNSs) with constraints related to full states. To overcome the challenge of unknown output hysteresis, the Bouc–Wen model is introduced. Subsequently, a batch of tangent barrier Lyapunov functions (<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>tan</mi>\u0000 </mrow>\u0000 <annotation>$$ tan $$</annotation>\u0000 </semantics></math>-BLFs) is formulated to prevent states from breaching constraint boundaries, which depend on the full states and time. The adaptive PDT ET controller, incorporating a switching threshold, is structured to ensure satisfactory system performance while conserving communication resources. By employing the average dwell time technique and the Lyapunov stability theory, it is demonstrated that under an average dwell time condition, all signals of the closed-loop system remain bounded. Furthermore, the system output can track the desired signal effectively within the expected settling time, with the tracking error converging to a small set around the origin, and the states staying within the specified boundaries. Ultimately, the efficacy of the proposed control strategy is verified through two case studies.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 13","pages":"5555-5568"},"PeriodicalIF":3.2,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910113","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
Finite-Time Control of Time-Varying Delay Nonlinear Systems With Multiple Disturbances 多扰动时变时滞非线性系统的有限时间控制
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-21 DOI: 10.1002/rnc.7958
Xinjiang Wei, Huifeng Zhang, Junjie Han
{"title":"Finite-Time Control of Time-Varying Delay Nonlinear Systems With Multiple Disturbances","authors":"Xinjiang Wei,&nbsp;Huifeng Zhang,&nbsp;Junjie Han","doi":"10.1002/rnc.7958","DOIUrl":"https://doi.org/10.1002/rnc.7958","url":null,"abstract":"<div>\u0000 \u0000 <p>The finite-time control problem is studied for a type of nonlinear systems with time-varying delay and multiple disturbances. The disturbances include external disturbances with partly known information and stochastic noises. A stochastic disturbance observer (SDO) is constructed to estimate external disturbances, and stochastic noises are handled by the <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> control method. Then a finite-time anti-disturbance controller is designed by combing the disturbance observer–based control (DOBC), <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> control, and finite-time stability theory, which ensures the closed-loop stochastic system is finite-time bounded. Eventually, the validity of the control scheme is verified by a simulation example.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 12","pages":"5003-5015"},"PeriodicalIF":3.2,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144624901","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
Memory-Based Sampled-Data Control Scheme for Vehicle Seat Suspension System With Actuator Faults via a Looped Lyapunov Approach 基于记忆的基于Lyapunov环的汽车座椅悬架系统故障采样控制方案
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-04-21 DOI: 10.1002/rnc.7981
Arulselvan Srinidhi, R. Raja, Jehad Alzabut, O. Bagdasar
{"title":"Memory-Based Sampled-Data Control Scheme for Vehicle Seat Suspension System With Actuator Faults via a Looped Lyapunov Approach","authors":"Arulselvan Srinidhi,&nbsp;R. Raja,&nbsp;Jehad Alzabut,&nbsp;O. Bagdasar","doi":"10.1002/rnc.7981","DOIUrl":"https://doi.org/10.1002/rnc.7981","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper addresses the problem of controlling the Vehicle Seat Suspension System (VSSS) under actuator faults using a memory-based sampled-data control (MSDC) strategy, incorporating looped Lyapunov functions. While previous works have focused on suspension control or actuator fault tolerance individually, few have combined memory-based control with fault-tolerant strategies specifically for Vehicle Seat Suspension Systems (VSSS). This study fills this gap by constructing a 3-Degrees of Freedom (DOF) seat suspension model and designing a novel memory-dependent sampled-data controller. The proposed method improves stability and vibration control by incorporating memory parameters and handling disturbance attenuation and output constraints through <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> control theory. Simulation results, validated under various road conditions, show significant improvements in ride comfort, road holding, and vehicle handling, outperforming traditional control strategies and also the Root Mean Square (RMS) values indicate significant reduction in vibration.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 12","pages":"5274-5295"},"PeriodicalIF":3.2,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144624900","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
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