International Journal of Robust and Nonlinear Control最新文献_第5页

Robust Second-Order Backstepping Design of Integrated Guidance and Control Based on a Fully Actuated System Approach 基于全驱动系统方法的鲁棒二阶逆推综合制导与控制设计

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-13 DOI: 10.1002/rnc.7815

Wei Wang, Shiwei Chen, Junfang Fan, Hongyan Zhang

{"title":"Robust Second-Order Backstepping Design of Integrated Guidance and Control Based on a Fully Actuated System Approach","authors":"Wei Wang, Shiwei Chen, Junfang Fan, Hongyan Zhang","doi":"10.1002/rnc.7815","DOIUrl":"https://doi.org/10.1002/rnc.7815","url":null,"abstract":"<div>\u0000 \u0000 <p>This article investigates the angle constraint issue in the integrated guidance and control (IGC) design. By using the high-order fully actuated system (HOFAS) approach, a non-linear robust controller is presented under the framework of the second-order backstepping method. First, the IGC model is represented as a complete second-order non-linear system without any linearization assumption, where the modeling error, unmodeled non-linearity, and external disturbance are unknown uncertainties. Combined with the dynamic model, the non-linear system is transformed into a pseudo-feedback system. An IGC model with fully actuated features is established, consisting of the guidance, dynamics, and attitude subsystems. Then, under the framework of the backstepping method, the non-linear controller of each subsystem is designed based on the HOFAS approach and robust control law, and a tracking differentiator based on inverse hyperbolic sine function is used to obtain the precise differential signal of the virtual control command. The controller parameter matrix is solved according to the desired closed-loop poles, while the closed-loop system is transformed into a steady linear system with desired performance. The subsystem state convergence is proven by Lyapunov theory, and the stability of the whole system is analyzed. Finally, the simulation results of terminal angle constraint verify the effectiveness of the proposed robust IGC design.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"2933-2951"},"PeriodicalIF":3.2,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822096","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

Robust Fault Detection for Fuzzy-Model-Based Networked Control Systems Under Denial-of-Service Attacks and Sensor Faults Within a Stochastic Communication Protocol 基于模糊模型的网络控制系统在拒绝服务攻击和随机通信协议下的鲁棒故障检测

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-13 DOI: 10.1002/rnc.7822

Tongtong Ding, Cheng Tan, Ziran Chen, Hongtao Sun

{"title":"Robust Fault Detection for Fuzzy-Model-Based Networked Control Systems Under Denial-of-Service Attacks and Sensor Faults Within a Stochastic Communication Protocol","authors":"Tongtong Ding, Cheng Tan, Ziran Chen, Hongtao Sun","doi":"10.1002/rnc.7822","DOIUrl":"https://doi.org/10.1002/rnc.7822","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper investigates the robust fault detection problem in non-linear networked systems, characterized by the Takagi-Sugeno (T-S) fuzzy model. The analysis is complicated by Denial-of-Service (DoS) attacks and sensor faults. In such systems, DoS attacks disrupt network communications, threatening both system stability and fault detection accuracy. Simultaneously, sensor faults compromise the reliability of the system's measurement outputs. To address these challenges, the stochastic communication protocol (SCP) is employed to optimize the transmission order between multiple sensors and the fault detector, effectively managing the limitations of communication capacity. Consequently, a fault detection scheme based on SCP is developed to generate residual signals, supported by an auxiliary residual system for stability analysis. Using the Lyapunov-Krasovskii (L-K) functional approach, sufficient conditions are derived to ensure the asymptotic stability of the residual system with a prescribed <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> performance. Finally, the effectiveness of the proposed fault detection scheme is validated through simulation examples.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3043-3054"},"PeriodicalIF":3.2,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822153","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-Based Prescribed-Time Containment Control for Multiple Euler–Lagrange Systems via Super-Twisting Sliding Mode 基于事件的多欧拉-拉格朗日系统超扭转滑模约束控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-12 DOI: 10.1002/rnc.7812

Yuyang Wu, Hongru Ren, Deyin Yao, Hongyi Li

{"title":"Event-Based Prescribed-Time Containment Control for Multiple Euler–Lagrange Systems via Super-Twisting Sliding Mode","authors":"Yuyang Wu, Hongru Ren, Deyin Yao, Hongyi Li","doi":"10.1002/rnc.7812","DOIUrl":"https://doi.org/10.1002/rnc.7812","url":null,"abstract":"<div>\u0000 \u0000 <p>This article designs a distributed dynamic event-triggered prescribed-time sliding mode controller to tackle the containment control problem of multiple Euler–Lagrange systems (MELSs) with external disturbances and strict requirements on response speed. Unlike previous super-twisting methods that achieve finite-time control, this paper replaces the constant term in the time scaling function with a variable term and incorporates it into the design of the controller and dynamic event-triggered mechanism (DETM), achieving prescribed-time control (PTC), enhancing system robustness and reducing controller updates. Based on the sliding mode variable structure theory and PTC theory, a non-linear sliding manifold is devised for the purpose of ensuring the convergence of containment error to zero within a prescribed time. The prescribed-time super-twisting sliding mode control (PTSTC) protocol is designed to ensure the prescribed-time reachability of the sliding manifold, while attenuating chattering during the control process. The prescribed time can be set arbitrarily. To minimize the frequency of controller updates and the losses of the actuator, a DETM is deployed in the controller-to-actuator channel. Moreover, the absence of the Zeno phenomenon within a prescribed time is derived. Error signals are proven to converge to zero within a prescribed time using the Lyapunov stability theory and prescribed-time stability criteria. Ultimately, a simulation of a manipulator system indicates that the designed controller effectively drives the containment error to converge to zero. Meanwhile, the number of triggers is reduced by more than 50% when the controller framework involves DETM compared to static event-triggered mechanisms.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"2898-2909"},"PeriodicalIF":3.2,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822126","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

Data-Driven Adaptive Cooperative Output Regulation for Completely Unknown Linear Multi-Agent Systems Based on Finite Length Data 基于有限长度数据的完全未知线性多智能体系统数据驱动自适应协同输出调节

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-12 DOI: 10.1002/rnc.7813

Hong Chen, Dong Liang, Chaoli Wang, Engang Tian

{"title":"Data-Driven Adaptive Cooperative Output Regulation for Completely Unknown Linear Multi-Agent Systems Based on Finite Length Data","authors":"Hong Chen, Dong Liang, Chaoli Wang, Engang Tian","doi":"10.1002/rnc.7813","DOIUrl":"https://doi.org/10.1002/rnc.7813","url":null,"abstract":"<div>\u0000 \u0000 <p>With respect to complex control systems, traditional model-dependent methods are increasingly challenged, particularly when system models are unknown or intractable. Moreover, most past research has focused on systems that are partially or fully known. In this technical paper, a data-driven paradigm is employed to investigate the cooperative output regulation problem (CORP) for completely unknown linear heterogeneous discrete multi-agent systems (MASs). Input and state information are utilized to design effective control strategies and a novel data-based algorithm is proposed with finite length data. An adaptive observer is designed to estimate the exosystem state, with only the leader's children having access to the unknown leader's system matrix. To address the challenge of unknown dynamics, the CORP is transformed into a linear quadratic regulation (LQR) problem by solving the regulation equation. Compared with the reinforcement learning method, the closed-form optimal control gain is obtained directly from the relevant data without the need for an initial stabilization controller or iterative calculation. Simulation results validate the proposed scheme's effectiveness.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"2910-2919"},"PeriodicalIF":3.2,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822127","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

RBF Neural Network-Based Distributed Nonlinear Model Predictive Control on Tandem Cold Rolling Stands 基于RBF神经网络的冷连轧机架分布非线性模型预测控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-09 DOI: 10.1002/rnc.7810

Yue-Yan Niu, Xiao-Jian Li, Chao Deng

{"title":"RBF Neural Network-Based Distributed Nonlinear Model Predictive Control on Tandem Cold Rolling Stands","authors":"Yue-Yan Niu, Xiao-Jian Li, Chao Deng","doi":"10.1002/rnc.7810","DOIUrl":"https://doi.org/10.1002/rnc.7810","url":null,"abstract":"<div>\u0000 \u0000 <p>The precision of the strip thickness is an index of significance in the tandem cold rolling process which makes a difference to the strip quality. However, it is hard to build an accurate mathematical model for thickness control in the tandem cold rolling process, because there exist coupling relationships of complexity between the adjacent stands and unmeasurable process parameters. To overcome the difficulties, a distributed nonlinear model predictive control (DNMPC) strategy with a deep learning method is put forward in this paper, where the auto-regressive radial basis function neural networks are established to model the tandem cold rolling process. For each stand, not only the control input and exit thickness output data of this stand, but also the data of the neighbor stands are selected as the input of the neural network. Besides, the design of the distributed nonlinear model predictive controller turns into an optimization problem, and the gradient method is applied to solve it, which gets rid of the leaning upon mathematical models. Moreover, the stability of the developed method is proven, which indicates the boundedness of the tracking error. The simulations are carried out on three-stand and five-stand examples, and the results verify the efficacy of the proposed DNMPC strategy.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2451-2461"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581765","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 Adaptive Event-Triggered Filter Subject to Hybrid Cyber Attacks and Input Limitation 混合网络攻击和输入限制下基于记忆的自适应事件触发滤波器

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-09 DOI: 10.1002/rnc.7794

Ya-Li Zhi, Bing Liu, Suyin Liao, Shuping He

{"title":"Memory-Based Adaptive Event-Triggered Filter Subject to Hybrid Cyber Attacks and Input Limitation","authors":"Ya-Li Zhi, Bing Liu, Suyin Liao, Shuping He","doi":"10.1002/rnc.7794","DOIUrl":"https://doi.org/10.1002/rnc.7794","url":null,"abstract":"<div>\u0000 \u0000 <p>This article focuses on the design of a secure memory-based adaptive event-triggered filter for networked systems subject to hybrid cyber attacks and input limitations. First, a hybrid attack model incorporating denial-of-service (DoS) attacks, deception attacks, and replay attacks is established for filter design. Second, a novel memory-based adaptive event-triggered strategy sensitive to cyber attacks is introduced into the filter design to save network resources, optimize network channel utilization, and prevent network congestion. Subsequently, a novel event-triggered filtering error model is established under hybrid cyber attacks and input limitations. Utilizing Lyapunov–Krasovskii functionals and linear matrix inequality (LMI) techniques, sufficient conditions can be concluded to prove the exponential mean-square stability of the filtering error model with a given <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 <annotation>$$ Hinfty $$</annotation>\u0000 </semantics></math> performance index. Finally, the effectiveness and the practicality of the obtained conclusions are demonstrated by a numerical simulation and tunnel diode circuit.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2258-2272"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581766","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 Fault-Tolerant Control of High-Order Nonlinear Delay Systems Under Unknown Dead-Zone Fault and Unknown Control Coefficients and Its Application 未知死区故障和未知控制系数下高阶非线性延迟系统的自适应容错控制及其应用

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-09 DOI: 10.1002/rnc.7811

Xiongfeng Deng, Li Guo, Runze Li

{"title":"Adaptive Fault-Tolerant Control of High-Order Nonlinear Delay Systems Under Unknown Dead-Zone Fault and Unknown Control Coefficients and Its Application","authors":"Xiongfeng Deng, Li Guo, Runze Li","doi":"10.1002/rnc.7811","DOIUrl":"https://doi.org/10.1002/rnc.7811","url":null,"abstract":"<div>\u0000 \u0000 <p>This work addresses the fault-tolerant control (FTC) problem of the high-order nonlinear systems (HONSs). The HONSs under study are jointly affected by the unknown time delays, unknown asymmetric dead-zone fault, and unknown control coefficients. Based on the designed Lyapunov-Krasovskii functional (LKF), the unknown time-delay nonlinear terms of the system are effectively compensated. Through the introduction of suitable Nussbaum gain function (NGF), the issue stemming from unknown control coefficients is solved. Meanwhile, the approximation problem of unknown nonlinear dynamics is effectively tackled based on the application of radial basis function neural network (RBFNN). Furthermore, a NN-based adaptive fault-tolerant tracking control scheme is developed and adaptive control laws for some unknown parameters are formulated. The key feature of this control scheme is to ensure that the tracking error asymptotically converges to a small neighborhood of zero, while keeping all signals of the closed-loop system are semi-globally uniformly and ultimately bounded (SGUUB). Ultimately, the validity of the controller proposed in this work is testified through given examples.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"2882-2897"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822227","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

Prescribed-Time Optimal Formation Synchronous Tracking Control of UAV-Ugvs Based on Reinforcement Learning 基于强化学习的无人机- ugv规定时间最优编队同步跟踪控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-09 DOI: 10.1002/rnc.7808

Shi-Xun Xiong, Guo-Ping Jiang, Yun-Xia Zhu, Xiao-Ming He, Shu-Han Chen

{"title":"Prescribed-Time Optimal Formation Synchronous Tracking Control of UAV-Ugvs Based on Reinforcement Learning","authors":"Shi-Xun Xiong, Guo-Ping Jiang, Yun-Xia Zhu, Xiao-Ming He, Shu-Han Chen","doi":"10.1002/rnc.7808","DOIUrl":"https://doi.org/10.1002/rnc.7808","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper explores the issue of prescribed-time optimal formation synchronous tracking control of nonlinear unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) systems. Based on a novel constructed second-order nonlinear UAV-UGV swarm case, the reinforcement learning (RL) method is introduced to obtain the optimal control scheme, and a gradient descent method with a simple positive function for the Hamilton-Jacobi-Bellman (HJB) equation is improved to establish the adaptive actor and critic networks and solve the iterate adaptive laws, which allows adaptive parameters to be trained more thoroughly. Integrating the prescribed-time constraints of formation tasks, the incorporation of traditional prescribed-time functions can result in structural modifications within the RL framework and state coupling, thereby increasing the complexity of control strategy design. Hence, the prescribed-time functions are designed in the critic and actor networks, which address the state coupling and optimize the acquisition of adaptive parameters under the gradient descent method. Then, by employing the aforementioned methods, an optimal synchronous control scheme is proposed to address nonlinear UAV-UGV time-varying formation tracking at a settling time, and a pivotal scaling technique is used for formation stability analysis. Finally, simulation and experiment results are carried out to demonstrate the efficacy of the proposed approach.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2437-2450"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581848","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

On Gain Scheduling Trajectory Stabilization for Nonlinear Systems: Theoretical Insights and Experimental Results 非线性系统增益调度轨迹镇定：理论见解与实验结果

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-07 DOI: 10.1002/rnc.7784

Nicolas Kessler, Lorenzo Fagiano

{"title":"On Gain Scheduling Trajectory Stabilization for Nonlinear Systems: Theoretical Insights and Experimental Results","authors":"Nicolas Kessler, Lorenzo Fagiano","doi":"10.1002/rnc.7784","DOIUrl":"https://doi.org/10.1002/rnc.7784","url":null,"abstract":"<p>Steering a nonlinear system from an initial state to a desired one is a common task in control. While a nominal trajectory can be obtained rather systematically using a model, for example, via numerical optimization, heuristics, or reinforcement learning, the design of a computationally fast and reliable feedback control law that guarantees bounded deviations around the found trajectory can be much more involved. An approach that does not require high online computational power and is well-accepted in industry is gain-scheduling. The results presented here pertain to the boundedness guarantees and the set of safe initial conditions of gain-scheduled control laws, based on subsequent linearizations along the reference trajectory. The approach bounds the uncertainty arising from the linearization process, builds polytopic sets of linear time-varying systems covering the nonlinear dynamics along the trajectory, and exploits sufficient conditions for the existence of a robust polyquadratic Lyapunov function to attempt the derivation of the desired gain-scheduled controller via the solution of linear matrix inequalities (LMIs). A result to estimate an ellipsoidal set of safe initial conditions is provided too. Moreover, arbitrary scheduling strategies between the control gains are considered in the analysis, and the method can also be used to check/assess the boundedness properties obtained with an existing gain-scheduled law. The approach is demonstrated experimentally on a small quadcopter, as well as in simulation to design a scheduled controller for a chemical reactor model and to validate an existing control law for a gantry crane model.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2142-2155"},"PeriodicalIF":3.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7784","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581747","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

Bumpless Transfer Control for Synchronization of Switched Neutral-Type Neural Networks With a Reachable Set Strategy 基于可达集策略的交换中立型神经网络同步无颠簸传输控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-07 DOI: 10.1002/rnc.7802

Fang Li, Hong Sang, Peng Wang, Ying Zhao, Yajing Ma, Georgi M. Dimirovski

{"title":"Bumpless Transfer Control for Synchronization of Switched Neutral-Type Neural Networks With a Reachable Set Strategy","authors":"Fang Li, Hong Sang, Peng Wang, Ying Zhao, Yajing Ma, Georgi M. Dimirovski","doi":"10.1002/rnc.7802","DOIUrl":"https://doi.org/10.1002/rnc.7802","url":null,"abstract":"<div>\u0000 \u0000 <p>This investigation primarily centers on the reachable-set-based bumpless transfer control (BTC) for the synchronization of switched neutral-type neural networks (SNNNs). In order to mitigate the conservatism inherent in the traditional state-dependent switching strategies (SDSSs) and combined switching strategies (CSSs), an improved CSS leveraging the historical information of neuron states and neutral delay is developed. By constructing a time-dependent multiple Lyapunov-Krasovskii functional (TDMLF) technique, a less conservative criterion for reachable set estimation (RSE) is first established. In the subsequent, the established design framework is further employed by the BTC for the synchronization of SNNNs. The corresponding synchronization criterion is derived, which ensures that the resultant synchronization error influenced by bounded external inputs can be confined to an anticipated bounded set. Also, the underlying control bumps at switching instants during switching instants are effectively constrained to a specific level. Ultimately, the practicability and superiority of the proposed design framework are confirmed via two simulation examples.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2310-2323"},"PeriodicalIF":3.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581746","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