International Journal of Robust and Nonlinear Control最新文献

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Memory-Dynamic Event-Based Controller With Additive-Memory Time-Delay for Cyber-Physical Systems Under DDoS Attacks DDoS攻击下网络物理系统的加性内存动态事件控制器
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-27 DOI: 10.1002/rnc.7881
Qing Zhu, Kaibo Shi, Xiao Cai, Da Chen, Jin Yang
{"title":"Memory-Dynamic Event-Based Controller With Additive-Memory Time-Delay for Cyber-Physical Systems Under DDoS Attacks","authors":"Qing Zhu,&nbsp;Kaibo Shi,&nbsp;Xiao Cai,&nbsp;Da Chen,&nbsp;Jin Yang","doi":"10.1002/rnc.7881","DOIUrl":"https://doi.org/10.1002/rnc.7881","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper tackles the challenge of designing a memory-dynamic event-triggered output feedback controller for cyber-physical systems (CPSs) under distributed denial of service (DDoS) attacks. First, we consider the impact of hybrid time delays on communication networks and focus on DDoS attacks that can continuously paralyze the network. Second, with limited bandwidth communication resources, a memory-dynamic event-triggered scheme (MDETS) that efficiently utilizes the bandwidth resources as well as mitigates the network-induced phenomena is proposed. In addition, to ensure the safe operation of CPSs, an output feedback controller with memory is designed based on time-delay states in the measurement channel. Then, selecting the proper multi-area Lyapunov-Krasovskii functionals (LKFs), criteria for sufficient exponentially mean-square <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mtext>H</mtext>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> stability condition is formulated. Finally, an illustrative example is used to demonstrate the effectiveness and applicability of the designed strategies.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3778-3790"},"PeriodicalIF":3.2,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914760","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
Fractional Order PID Controller Design for an AVR System Using the Artificial Hummingbird Optimizer Algorithm 基于人工蜂鸟优化算法的AVR系统分数阶PID控制器设计
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-26 DOI: 10.1002/rnc.7894
Elouahab Bouguenna, Samir Ladaci, Badis Lekouaghet, Walid Merrouche, Mohamed Benghanem
{"title":"Fractional Order PID Controller Design for an AVR System Using the Artificial Hummingbird Optimizer Algorithm","authors":"Elouahab Bouguenna,&nbsp;Samir Ladaci,&nbsp;Badis Lekouaghet,&nbsp;Walid Merrouche,&nbsp;Mohamed Benghanem","doi":"10.1002/rnc.7894","DOIUrl":"https://doi.org/10.1002/rnc.7894","url":null,"abstract":"<div>\u0000 \u0000 <p>Optimizing the fractional-order PID (FOPID) controller using metaheuristic algorithms has gained significant popularity across various engineering domains. This paper introduces a novel approach by employing the artificial hummingbird algorithm (AHA), an innovative optimization technique inspired by the unique flight and foraging behaviors of hummingbirds, to fine-tune the FOPID controller for the automatic voltage regulator (AVR) system in synchronous generators, a critical component in maintaining voltage stability. The proposed method is rigorously tested using MATLAB/Simulink simulations under challenging conditions, including nonsmoothed higher-order dynamics of the control plant, parameter variations, time delays, and nonlinearities. The effectiveness of the AHA-based FOPID control strategy on the AVR system is comprehensively evaluated through extensive tests and analyses, focusing on aspects such as transient response, robustness, stability, and trajectory tracking. Moreover, a comparative assessment against established optimization algorithms, namely particle swarm optimization (PSO), genetic algorithm (GA), gray wolf optimizer (GWO), and artificial bee colony (ABC) is conducted. The results demonstrate the superiority of the proposed AHA-based FOPID control strategy, which significantly increases convergence speed. This is evidenced by a 25% faster rise time and a 45.74% shorter settling time compared to the GA-FOPID controller, the closest in performance for these metrics. Additionally, the AHA-based FOPID controller achieves a 92% reduction in steady-state oscillations compared to the ABC-FOPID controller, the nearest competitor in this aspect. These improvements highlight the AHA-based FOPID controller's superior efficiency and rapid response in achieving optimal performance. Hence, the proposed method shows remarkable success in enhancing stability and robustness, making it highly suitable for the design of practical high-performance applications.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3919-3943"},"PeriodicalIF":3.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914678","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
Global Event-Triggered Adaptive Control of Nonstrict-Feedback Non-Linear Systems With Unknown Functions and Time-Varying Delay Using Neural Networks 基于神经网络的未知函数时变时滞非严格反馈非线性系统全局事件触发自适应控制
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-26 DOI: 10.1002/rnc.7877
Cheng Tan, Xinrui Ma, Ziran Chen, Hongtao Sun
{"title":"Global Event-Triggered Adaptive Control of Nonstrict-Feedback Non-Linear Systems With Unknown Functions and Time-Varying Delay Using Neural Networks","authors":"Cheng Tan,&nbsp;Xinrui Ma,&nbsp;Ziran Chen,&nbsp;Hongtao Sun","doi":"10.1002/rnc.7877","DOIUrl":"https://doi.org/10.1002/rnc.7877","url":null,"abstract":"<div>\u0000 \u0000 <p>This article aims to achieve global adaptive control of nonstrict-feedback non-linear systems with unknown functions and time-varying delay. Unlike traditional methods, this approach introduces switching functions at each step of the backstepping design, in addition to utilizing neural networks (NNs) to approximate the unknown functions, resulting in globally bounded outcomes. By employing appropriate Lyapunov-Krasovskii (L-K) functionals, the negative effects of time-varying delays are effectively compensated. The proposed control scheme integrates the design of both the controller and the event-triggering mechanism (ETM), effectively removing the need for input-to-state stability assumptions while reducing measurement errors. Furthermore, the ETM, based on an adaptive threshold strategy, not only ensures superior system performance but also optimizes network resource utilization. Finally, two simulation examples are provided to demonstrate the validity of the proposed control approach.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3728-3741"},"PeriodicalIF":3.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914680","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 Event-Triggered Asynchronous Finite-Time H∞ Filter Design for Linear Neutral Semi-Markovian Jumping Systems With Mixed Sensor Faults 具有混合传感器故障的线性中立型半马尔可夫跳变系统的自适应事件触发异步有限时间H∞滤波器设计
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-26 DOI: 10.1002/rnc.7876
Guifang Cheng, Huishi Shen
{"title":"Adaptive Event-Triggered Asynchronous Finite-Time H∞ Filter Design for Linear Neutral Semi-Markovian Jumping Systems With Mixed Sensor Faults","authors":"Guifang Cheng,&nbsp;Huishi Shen","doi":"10.1002/rnc.7876","DOIUrl":"https://doi.org/10.1002/rnc.7876","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper studies the design of adaptive event-triggered asynchronous finite-time <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> filter for neutral semi-Markovian jumping systems (SMJSs) with mixed sensor faults. A novel adaptive event-triggered mechanism (AETM) is constructed to automatically tune trigger threshold, thus alleviating the communication burden. Subsequently, in light of the device's unsafe operating environment, a mixed sensor faults model is taken into account. Next, sufficient conditions are obtained to ensure the filtering error system (FES) meets stochastic <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> finite-time boundedness (FTB) and stochastic <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> finite-time contractive boundedness (FTCB). Lastly, an engineering-based example is shown to validate the efficacy of the proposed method.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3700-3714"},"PeriodicalIF":3.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914679","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
Modified Adaptive Federated Student's t Maximum Correntropy Criterion Variational Adaptive Kalman Filtering for Multi-Source Data Fusion 多源数据融合的改进自适应联邦学生最大熵准则变分自适应卡尔曼滤波
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-26 DOI: 10.1002/rnc.7841
Yunsheng Fan, Shuanghu Qiao, Baojian Song, Guofeng Wang
{"title":"Modified Adaptive Federated Student's t Maximum Correntropy Criterion Variational Adaptive Kalman Filtering for Multi-Source Data Fusion","authors":"Yunsheng Fan,&nbsp;Shuanghu Qiao,&nbsp;Baojian Song,&nbsp;Guofeng Wang","doi":"10.1002/rnc.7841","DOIUrl":"https://doi.org/10.1002/rnc.7841","url":null,"abstract":"<div>\u0000 \u0000 <p>The traditional federated Kalman filter-based multi-source data fusion algorithm performs poorly in the presence of outliers and unknown noise, a modified federated robust Student's t maximum correntropy criterion variational adaptive Kalman filter is proposed in this paper to tackle the issue. First, an improved robust Student's t maximum correntropy criterion variational adaptive Kalman filter is proposed for local estimation. The algorithm introduces an adaptive factor in the Student's t variational adaptive Kalman filter algorithm to correct the bias of the error covariance matrix, which improves the estimation accuracy of the algorithm. In addition, an improved kernel width based on the maximum correntropy criterion is employed for modifying the correntropy gain to adjust the filtering gain of the algorithm. Second, an improved adaptive information-sharing factor is developed to adaptively regulate the fusion weight of the local sensor based on the estimation accuracy of the local filter. Finally, the simulation verifies that the proposed algorithm has higher estimation accuracy than other existing algorithms.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3297-3307"},"PeriodicalIF":3.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822162","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
Enhancing Safety in Model-Based Reinforcement Learning With High-Order Control Barrier Functions 利用高阶控制障碍函数增强基于模型的强化学习的安全性
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-26 DOI: 10.1002/rnc.7888
Tianyu Zhang, Jun Xu, Hongwei Zhang
{"title":"Enhancing Safety in Model-Based Reinforcement Learning With High-Order Control Barrier Functions","authors":"Tianyu Zhang,&nbsp;Jun Xu,&nbsp;Hongwei Zhang","doi":"10.1002/rnc.7888","DOIUrl":"https://doi.org/10.1002/rnc.7888","url":null,"abstract":"<div>\u0000 \u0000 <p>Due to the risk of taking unsafe actions in unknown environment dynamics, reinforcement learning (RL) algorithms with built-in safety guarantees to prevent unexpected accidents has received increasing attention. Introducing the control barrier function is a typical method for imposing safety constraints by constructing the forward invariant set, but this approach generally suffers from the conservativeness of the forward invariant set and difficulties in the training process. To overcome these challenges, this paper proposes a novel algorithm called model-based safe RL with high-order control barrier function (MBSRL-HOCBF). The concepts of generalized feasibility are introduced, including generalized feasible state and generalized feasible region, which can be applied to the modified HOCBF conditions during training, thus reducing the conservativeness of the forward invariant set of HOCBF while ensuring both safety and algorithm performance. Additionally, the safety indicator that explicitly identifies safe states without requiring knowing specific safety criteria is incorporated, and integrated into the common environment model. The integration combines the advantages of traditional model-based RL, including using model-generated data to speed up algorithm training, with the ability to identify the generalized feasibility of each state. Simulation results demonstrate that MBSRL-HOCBF not only achieves high returns but also guarantees safety across multiple control tasks.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3844-3855"},"PeriodicalIF":3.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914702","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
H 2 / H ∞ $$ {H}_2/{H}_{infty } $$ Control of AETSCP-Based IT-2 Fuzzy Networked Control Systems Under Stealthy Dos Attacks and Actuator Faults 隐身Dos攻击和执行器故障下基于aetscp的IT-2模糊网络控制系统H 2 / H∞$$ {H}_2/{H}_{infty } $$控制
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-25 DOI: 10.1002/rnc.7882
Yunjiao Zhu, Xiaoming Tang, Jun Wang, Shidong Zhai, Jingjie Yuan, Minghong She
{"title":"H\u0000 \u0000 \u0000 2\u0000 \u0000 \u0000 /\u0000 \u0000 \u0000 H\u0000 \u0000 \u0000 ∞\u0000 \u0000 \u0000 \u0000 $$ {H}_2/{H}_{infty } $$\u0000 Control of AETSCP-Based IT-2 Fuzzy Networked Control Systems Under Stealthy Dos Attacks and Actuator Faults","authors":"Yunjiao Zhu,&nbsp;Xiaoming Tang,&nbsp;Jun Wang,&nbsp;Shidong Zhai,&nbsp;Jingjie Yuan,&nbsp;Minghong She","doi":"10.1002/rnc.7882","DOIUrl":"https://doi.org/10.1002/rnc.7882","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper examines the dynamic output feedback <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 </msub>\u0000 <mo>/</mo>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_2/{H}_{infty } $$</annotation>\u0000 </semantics></math> control of interval type-2 (IT-2) fuzzy systems suffering from stealthy denial of service (DoS) attacks under the adaptive event-triggered stochastic communication protocol (AETSCP). Considering the advantages of the AET mechanism and the SCP, a new AETSCP is proposed, whose trigger parameters can be dynamically adjusted based on the changing trend of the system state and the stealthy DoS attack probability. The signal-to-interference plus noise ratio (SINR)-based DoS attacker continuously senses the channel and utilizes the trigger characteristics of the AET mechanism to cleverly launch the attack to ensure its stealthiness. A dynamic quantizer is employed to quantize the measured output, and a time-varying fault matrix is adopted to represent actuator faults. By applying the mode-dependent Lyapunov function, the sufficient condition to ensure the stability of the considered networked control system (NCS) is derived, and the dynamic output feedback controller satisfying the <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 </msub>\u0000 <mo>/</mo>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_2/{H}_{infty } $$</annotation>\u0000 </semantics></math> performance is designed. Lastly, a simulation example is used to verify the effectiveness of the proposed algorithm.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3791-3804"},"PeriodicalIF":3.2,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914740","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
A Semi-Markovian Model Approach to Resilient Fault-Tolerant Control of Interval Type-2 Fuzzy Systems With Stochastic Actuator Failures and Its Applications 具有随机执行器故障的区间2型模糊系统弹性容错控制的半马尔可夫模型方法及其应用
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-24 DOI: 10.1002/rnc.7805
Xiaoqing Li, Kaibo Shi, Jun Cheng, Zhinan Peng, Liang Han
{"title":"A Semi-Markovian Model Approach to Resilient Fault-Tolerant Control of Interval Type-2 Fuzzy Systems With Stochastic Actuator Failures and Its Applications","authors":"Xiaoqing Li,&nbsp;Kaibo Shi,&nbsp;Jun Cheng,&nbsp;Zhinan Peng,&nbsp;Liang Han","doi":"10.1002/rnc.7805","DOIUrl":"https://doi.org/10.1002/rnc.7805","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 &lt;p&gt;This article mainly presents a fresh systematic framework to tackle the resilient fault-tolerant sampled-data control (SDC) synthesis problem for networked interval type-2 fuzzy systems (IT-2FSs) suffering with semi-Markovian-type jump actuator failures (SMJAFs) and mismatched membership functions (MMFs), which portrays more features than some prior developments. The principally target of the addressed problem under this systematic investigation is to precisely architect a faulty mode-dependent sampled-data controller such that the resultant IT-2FSs are asymptotically stable with a prescribed &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;H&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;∞&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {H}_{infty } $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; attenuation level simultaneously. Firstly, in a departure from conventional control approaches, to better depict the stochastic actuator failures (SAFs) and cater to the engineering practice more accurately, a neoteric control input model that incorporated with semi-Markovian jump-type faulty coefficients with stochastically occurring bias terms is reconstructed for IT-2FSs in specifically. Secondly, the occurrence of controller gain fluctuations is randomly, which is regulated by a Bernoulli random binary distribution with a pre-known probability distribution. Thirdly, in comparison with majority of the existing SDC strategies, the intrinsic lag signal &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;ϱ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ varrho $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; is intensionally introduced in the control loop, which exploited initially to handle the IT-2 fuzzy control synthesis issue. In doing so, a novelty looped-type semi-Markovian Lyapunov functional alleged dual-sided looped semi-Markovian Lyapunov functional that adequate acquisition the characteristic information of whole sampling intervals from &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;x&lt;/mi&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;t&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;k&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msub&gt;\u0000 &lt;mo&gt;)&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ xleft({t}_kright) $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; to &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;x&lt;/mi&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;mi&gt;t&lt;/mi&gt;\u0000 &lt;mo&gt;)&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ x","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2399-2424"},"PeriodicalIF":3.2,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581987","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
A Novel Monitoring Function Based Boundary Force Controller Design for PDE Modeling Flexible Manipulator With Uncertain Control Directions 一种新的基于监测函数的PDE建模不确定控制方向柔性机械臂边界力控制器设计
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-21 DOI: 10.1002/rnc.7887
Xinyang Ma, Chenliang Wang, Jinkun Liu
{"title":"A Novel Monitoring Function Based Boundary Force Controller Design for PDE Modeling Flexible Manipulator With Uncertain Control Directions","authors":"Xinyang Ma,&nbsp;Chenliang Wang,&nbsp;Jinkun Liu","doi":"10.1002/rnc.7887","DOIUrl":"https://doi.org/10.1002/rnc.7887","url":null,"abstract":"<div>\u0000 \u0000 <p>A contact force control and vibration suppression problem for a one-link flexible manipulator with uncertain control directions and input constraints is discussed in this paper. The flexible manipulator is described by a PDE (Partial Differential Equation) model. Nussbaum function is a widely used method to address the challenge of uncertain control directions. However, the Nussbaum function has notable drawbacks such as uncontrollable amplitude increase, frequent controller gain direction changes, and an indeterminate final gain value. To overcome these drawbacks, we propose a novel boundary controller design that integrates a monitoring function to evaluate the current gain direction and a switching scheme to determine if and when the gain direction should change. This allows us to achieve the force control and vibration suppression with uncertain control directions. Importantly, our proposed controller offers several advantages: (1) it enables simultaneous satisfaction of input constraints, (2) ensures a maximum of one change in controller gain direction before convergence to the correct direction, and (3) allows for the specification of a definitive final value for the controller gain. The effectiveness of the proposed controller is verified by numerical simulation.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3833-3843"},"PeriodicalIF":3.2,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914711","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
Active Disturbance Rejection Control for the Stabilization of a Linear Hyperbolic System 线性双曲型系统镇定的自抗扰控制
IF 3.2 3区 计算机科学
International Journal of Robust and Nonlinear Control Pub Date : 2025-02-20 DOI: 10.1002/rnc.7874
Ismaïla Balogoun, Swann Marx, Yury Orlov, Franck Plestan
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