International Journal of Robust and Nonlinear Control最新文献

{"title":"Optimal \u0000 \u0000 \u0000 \u0000 \u0000 H\u0000 \u0000 \u0000 ∞\u0000 \u0000 \u0000 \u0000 $$ {mathcal{H}}_{infty } $$\u0000 Problem and Application to Controlled Asymptotic Filtering","authors":"Jovan Stefanovski","doi":"10.1002/rnc.7835","DOIUrl":"https://doi.org/10.1002/rnc.7835","url":null,"abstract":"<div>\u0000 \u0000 <p>The optimal variant of one-sided <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>$$ {mathcal{H}}_{infty } $$</annotation>\u0000 </semantics></math>-problem is elaborated, and an LMI-based algorithm is presented, which works in the generic case. An application in controlled asymptotic filtering is presented, in which the matrices of 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>$$ {mathcal{H}}_{infty } $$</annotation>\u0000 </semantics></math> -problem are affine functions of controller coefficients. These two results are illustrated with examples.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3208-3221"},"PeriodicalIF":3.2,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822263","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}

{"title":"Protocol-Based PID Control for Stochastic Multiagent Systems Under Deception Attacks: Handling Quasi-Consensus in Probability","authors":"Jie Ban,&nbsp;Liangdong Guo,&nbsp;Zidong Wang","doi":"10.1002/rnc.7820","DOIUrl":"https://doi.org/10.1002/rnc.7820","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, we investigate the problem of observer-based proportional-integral-derivative (PID) quasi-consensus control for a specific class of stochastic multi-agent systems (MASs) subject to deception attacks. This study is driven by practical engineering challenges where communication networks are vulnerable to attacks and resource constraints. We consider the scenario where the relative output vector of each agent, after being uniformly quantized and managed through a Round-Robin scheduling protocol, is exposed to deception attacks. To address these challenges, we develop a novel distributed observer-based PID control strategy tailored for stochastic MASs. This strategy effectively accounts for system randomness and defenses against deception attacks. Using matrix inequality and stochastic analysis techniques, we establish a framework of sufficient conditions for achieving quasi-consensus in probability and derive the corresponding gain matrices. The proposed approach is validated through numerical simulations, demonstrating its effectiveness in maintaining consensus despite deception attacks and quantization effects.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3013-3027"},"PeriodicalIF":3.2,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822264","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}

{"title":"Neuroadaptive Impulsive Control of a Class of Uncertain Nonlinear Systems","authors":"Ming Lin,&nbsp;Zhen-Fa Luo,&nbsp;Jie Tao,&nbsp;Jun-Yi Li,&nbsp;Yong-Hua Liu","doi":"10.1002/rnc.7834","DOIUrl":"https://doi.org/10.1002/rnc.7834","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper addresses the tracking control problem for a class of uncertain nonlinear systems, offering a neuroadaptive impulsive control solution with fast weight convergence. The proposed control architecture uniquely employs radial basis function neural networks (RBFNNs) to approximate unknown system dynamics, where the neural network (NN) weight estimator is updated at each impulsive instant. Unlike existing neuroadaptive controllers, this method quickly identifies unknown dynamics without inducing high-frequency oscillations due to the impulse update of the NN weight estimator, thereby improving the transient performance of the closed-loop system. Leveraging the Lyapunov stability theory for impulsive dynamical systems, this paper rigorously establishes the semi-global uniform ultimate boundedness (SGUUB) of all closed-loop system signals. Finally, validation through simulation studies substantiates the efficacy of the proposed neuroadaptive impulsive controller.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3192-3207"},"PeriodicalIF":3.2,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822265","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}

{"title":"Prescribed-Time Prescribed Performance Leader Follower Formation Control for Wheeled Mobile Robots With Any Bounded Initial Value","authors":"Yu Zhao,&nbsp;Huaicheng Yan,&nbsp;Yunsong Hu,&nbsp;Zhichen Li,&nbsp;Yifan Shi","doi":"10.1002/rnc.7846","DOIUrl":"https://doi.org/10.1002/rnc.7846","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper investigates prescribed-time prescribed performance control with any bounded initial values for wheeled mobile robot formation systems with uncertain dynamic models and visibility constraints. Visual information is provided by the fixed onboard camera. However, due to limitations in picture quality and frame size, there are constraints on both tracking distance and angle. In addition, constraints caused by collisions are also under consideration. Both barrier Lyapunov functions and performance functions are proposed to overcome these constraints. In contrast to existing prescribed performance control (PPC) methods, which necessitate the initial values of the tracking errors to fall within the prescribed performance functions, an error transformation method is introduced to ensure that the tracking errors can converge to the preset boundaries within a predefined time, regardless of the bounded initial values. Then, utilizing the backstepping procedure and neural network (NN) approximation, a practical prescribed-time controller (PPTC) is formulated to guarantee the formation tracking errors can converge into a small neighborhood of the origin in the prescribed time while meeting the performance constraints. The NN approximation also achieves model uncertainty approximation in robot systems within the prescribed time. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3345-3357"},"PeriodicalIF":3.2,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822226","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}

{"title":"Input-Based Adaptive Event-Triggered Control Under a Network Resource-Constrained Environment","authors":"Poonam Sahu,&nbsp;Deepak Fulwani","doi":"10.1002/rnc.7865","DOIUrl":"https://doi.org/10.1002/rnc.7865","url":null,"abstract":"<div>\u0000 \u0000 <p>The work proposes an input-based event-triggered mechanism with parameterized low-gain feedback for a discrete-time system under a network resource-constrained environment. The control input depends on a parameter <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>ϵ</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>q</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {epsilon}_q $$</annotation>\u0000 </semantics></math>, which can be adaptively scheduled according to the network conditions. The control input is designed using the seminal concept of low-gain feedback. Further, we establish an explicit relation between inter-event time and the control parameter. Stability with the proposed triggering rule is established, and the proposed theory is verified using an active suspension system.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3559-3571"},"PeriodicalIF":3.2,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914118","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}

{"title":"H\u0000 \u0000 \u0000 ∞\u0000 \u0000 \u0000 \u0000 $$ {H}_{infty } $$\u0000 PID Control for Singularly Perturbed Systems With Randomly Switching Nonlinearities Under Dynamic Event-Triggered Mechanism","authors":"Zhenglong Jiao,&nbsp;Zidong Wang,&nbsp;Yuqiang Luo,&nbsp;Fan Wang","doi":"10.1002/rnc.7867","DOIUrl":"https://doi.org/10.1002/rnc.7867","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, the observer-based <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> proportional-integral-derivative (PID) control problem is studied for a class of singular perturbed systems with randomly switching nonlinearities. During the modeling process, a set of binary random sequences is introduced to describe the random behaviors of the nonlinear switching encountered in engineering practice. Considering the singular perturbation parameter (SPP), an observer-based <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> PID controller is constructed for the concerned singularly perturbed systems (SPSs), where the state information is estimated. To improve communication efficiency and reduce resource waste, a dynamic event-triggered mechanism is employed during the measurement transmission. Meanwhile, an SPP-dependent Lyapunov-Krasovskii function is utilized to derive conditions under which the closed-loop system is guaranteed to be stochastically stable with the desired <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 under a specified upper bound on the SPP. All the desired observer and controller gains are determined by solving a set of matrix inequalities. Finally, the effectiveness and superiority of the suggested PID control method are verified through a simulation example.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3584-3597"},"PeriodicalIF":3.2,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914120","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}

{"title":"Fixed-Time Control Lyapunov Function for Networked Non-Linear Uncertain Systems","authors":"Yi Dong,&nbsp;Zhiyong Chen","doi":"10.1002/rnc.7868","DOIUrl":"https://doi.org/10.1002/rnc.7868","url":null,"abstract":"<p>This paper introduces a novel tool based on Lyapunov functions, aimed at analyzing the fixed-time property of networked non-linear uncertain systems while incorporating a specifically designed control law. The applicability of this tool is demonstrated by addressing the fixed-time synchronization challenge within non-linear uncertain multi-agent systems (MASs) operating in a leader-following scenario. In this scenario, the desired trajectory stems from a general non-linear system, and a two-part solution is presented. Both segments of the solution leverage the innovative Lyapunov function-based tool. The first component entails a fixed-time non-linear state feedback observer, engineered to estimate the leader system's state within a directed communication network. The second component offers a fixed-time control law, designed to regulate the trajectories of the agents. This paper explores two categories of non-linear agents with first-order and second-order dynamics, taking into account parametric uncertainties.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3598-3609"},"PeriodicalIF":3.2,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7868","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914117","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}

{"title":"Practical Finite-Time and Fixed-Time Guaranteed Cost Consensus for Second-Order Nonlinear Multi-Agent Systems With Switching Topology and Actuator Faults","authors":"Rongxiang Lu,&nbsp;Jie Wu,&nbsp;Xi-Sheng Zhan,&nbsp;Huaicheng Yan","doi":"10.1002/rnc.7866","DOIUrl":"https://doi.org/10.1002/rnc.7866","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper investigates finite-time and fixed-time the guaranteed cost consensus problem for nonlinear second-order systems, respectively, accompanied by unknown nonlinear functions approximated by a fuzzy logic system (FLS). Considering the possibility of actuator failures and topology switching, finite-time and fixed-time controllers are proposed to enable the system to eventually achieve finite-time and fixed-time guaranteed cost consensus, respectively. Furthermore, upper bounds on the guaranteed cost are obtained based on the Lyapunov functions designed for finite-time and fixed-time proofs, respectively. Finally, two examples are provided corresponding to the feasibility of proving the theorem using finite-time and fixed-time controllers, respectively.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3572-3583"},"PeriodicalIF":3.2,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914119","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}

{"title":"Robust Control Strategy for Networked Semi-Markov Jump System With Random Delay","authors":"Li Qiu,&nbsp;Jie Teng,&nbsp;Runjie Chen,&nbsp;Baixi He","doi":"10.1002/rnc.7855","DOIUrl":"https://doi.org/10.1002/rnc.7855","url":null,"abstract":"<div>\u0000 \u0000 <p>A robust controller design method for networked control systems experiencing random delays, external disturbances, and random switching of subsystems is proposed. The random delays and subsystem switching process are simulated by using Markov and semi-Markov chains, respectively. Considering various complex factors that affect system performance, a model of a networked semi-Markov jump system (NSMJS) is established. In order to obtain system stability conditions and improve system disturbance resistance, a Lyapunov-Krasovskii functional is constructed by combining semi-Markov jump theory. The mean-square stability criterion and robust stabilization criterion for the NSMJS are proposed. The effectiveness of the proposed control method is validated through numerical simulations.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3448-3459"},"PeriodicalIF":3.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914428","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}

{"title":"Prescribed-Time Fault-Tolerant Control of Linear Time-Varying Systems by Linear Time-Varying Feedback","authors":"Jiacheng Dong,&nbsp;Bin Zhou","doi":"10.1002/rnc.7861","DOIUrl":"https://doi.org/10.1002/rnc.7861","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, the prescribed-time fault-tolerant control for multiple input multiple output (MIMO) linear time-varying (LTV) systems is investigated. Both lexicographically fixed and non-lexicographically fixed LTV systems have been considered. By leveraging the special structure of the controllable canonical form and employing the properties of the parametric Lyapunov equation, a global prescribed-time fault-tolerant controller is designed. With the aid of a suitable Lyapunov-like function, it is demonstrated that the state can converge to zero within the prescribed time. The convergence time is independent of the initial condition. In addition, the designed controller is continuous, bounded, and even maintains a linear and concise form. Ultimately, the effectiveness of the controller is verified through the simulation of the elliptical orbital rendezvous system.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3509-3522"},"PeriodicalIF":3.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914427","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}