International Journal of Robust and Nonlinear Control最新文献_第4页

Identification for Precision Mechatronics: An Auxiliary Model-Based Hierarchical Refined Instrumental Variable Algorithm 精密机电一体化识别：一种基于辅助模型的分层精细化仪器变量算法

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-04-04 DOI: 10.1002/rnc.7960

Chen Zhang, Yang Liu, Kaixin Liu, Fazhi Song

{"title":"Identification for Precision Mechatronics: An Auxiliary Model-Based Hierarchical Refined Instrumental Variable Algorithm","authors":"Chen Zhang, Yang Liu, Kaixin Liu, Fazhi Song","doi":"10.1002/rnc.7960","DOIUrl":"https://doi.org/10.1002/rnc.7960","url":null,"abstract":"<div>\u0000 \u0000 <p>When the physical properties of mechanical systems align with the structure of the model, the continuous-time (CT) systems can be effectively represented by an interpretable and parsimonious additive formal models. This article addresses the parameter estimation challenges of additive CT autoregressive moving average (ACTARMA) systems. Based on the maximum likelihood principle, the optimality conditions for the proposed identification algorithms are formulated for ACTARMA systems. Additionally, an auxiliary model-based hierarchical refined instrumental variable (AM-HRIV) iterative algorithm and an AM-HRIV recursive algorithm are developed by means of the hierarchical identification principle and the auxiliary model identification idea. These algorithms establish a pseudo-linear regression relationship involving optimal prefilters derived from a unified autoregressive moving average model. The effectiveness of the proposed methods is demonstrated by numerical simulation, and the performance of AM-HRIV iterative method in identifying modal representations is verified by experimental data.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 12","pages":"5026-5042"},"PeriodicalIF":3.2,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144624481","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

Linear Quadratic Optimal Control Problems for Conditional Mean-Field Stochastic Differential Equations Under Partial Information 部分信息下条件平均场随机微分方程的线性二次最优控制问题

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-04-02 DOI: 10.1002/rnc.7927

Siqi Feng, Guangchen Wang, Hua Xiao, Zhuangzhuang Xing, Huanjun Zhang

{"title":"Linear Quadratic Optimal Control Problems for Conditional Mean-Field Stochastic Differential Equations Under Partial Information","authors":"Siqi Feng, Guangchen Wang, Hua Xiao, Zhuangzhuang Xing, Huanjun Zhang","doi":"10.1002/rnc.7927","DOIUrl":"https://doi.org/10.1002/rnc.7927","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper centers on a kind of linear quadratic stochastic optimal control problem driven by conditional mean-field stochastic differential equations under partial information. In this context, the cost functional is permitted to be indefinite. At the outset, we present a broad overview of optimal control with the aid of the adjoint equation. However, the Hamiltonian system poses a challenge as it incorporates two distinct conditional expectations, making decoupling unattainable. To tackle this, we extract and analyze three representative cases derived from practical problems, discussing each case separately. We find that, in any case, the uniform convexity of the cost functional ensures the existence of a unique optimal control with a state feedback form for the problem, which is a weaker assumption compared to the standard one. Finally, we apply the obtained results to address specific issues raised in the initial motivations of this paper. These applications demonstrate the practical relevance and effectiveness of our theoretical findings in addressing real-world challenges in the field of stochastic optimal control.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 11","pages":"4597-4623"},"PeriodicalIF":3.2,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299890","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 Adaptive Tracking Control for a Class of Stochastic Pure-Feedback Nonlinear Systems With Unknown Disturbances 一类具有未知扰动的随机纯反馈非线性系统的有限时间自适应跟踪控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-04-02 DOI: 10.1002/rnc.7947

Yu Shao, Rongjie Liu, Shihua Li, Shengyuan Xu

引用次数: 0

Practical Stability to a Part of the Variables for Riemann-Liouville Fractional Stochastic Differential Equations Riemann-Liouville分数阶随机微分方程对部分变量的实际稳定性

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-04-02 DOI: 10.1002/rnc.7959

Haihan Yang, Tingting Feng, Jing Cui

引用次数: 0

Asymptotic Consensus for a Nonlinear Multi-Agent System Modeled by the Wave Partial Differential Equations 用波动偏微分方程建模的非线性多智能体系统的渐近一致性

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-04-01 DOI: 10.1002/rnc.7957

Li Tang, Runhuan Sun, Yan-Jun Liu

引用次数: 0

Constrained Robust Predictive Control of Discrete Switched Systems With Time Delay: Static and Dynamic Output Feedback Controllers 离散时滞切换系统的约束鲁棒预测控制：静态和动态输出反馈控制器

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-04-01 DOI: 10.1002/rnc.7943

M. Aminsafaee, M. H. Shafiei

{"title":"Constrained Robust Predictive Control of Discrete Switched Systems With Time Delay: Static and Dynamic Output Feedback Controllers","authors":"M. Aminsafaee, M. H. Shafiei","doi":"10.1002/rnc.7943","DOIUrl":"https://doi.org/10.1002/rnc.7943","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper investigates the robust control of discrete-time switched systems in the presence of parametric uncertainty and time-varying delays. To accommodate a more general model, nonlinear Lipschitz functions are incorporated. Additionally, the system is modeled with constraints on both control inputs and outputs. To achieve the control objectives, static and dynamic output feedback controllers are designed using the robust model predictive control (RMPC) framework. The underlying optimization problem is formulated and solved, leveraging Lyapunov-Krasovskii functionals (LKF) and switched Lyapunov functions (SLF). The asymptotic stability of the closed-loop system under arbitrary switching signals is ensured by satisfying sufficient conditions expressed as linear matrix inequalities (LMIs). A key advantage of the proposed method lies in its low conservatism. Moreover, the time delay and state variables are assumed unknown, and they ensure an acceptable transient response of the closed-loop system. To demonstrate the effectiveness of the designed controllers, simulation results are provided and compared against prior related works, highlighting the improvements achieved.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 11","pages":"4796-4808"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299642","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 Three-Step Interval Estimation Method for Discrete-Time Linear Switched Systems 离散线性切换系统的三步区间估计方法

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-03-30 DOI: 10.1002/rnc.7949

Zhenhua Wang, Xinyang Liu, Tarek Raïssi, Yi Shen

引用次数: 0

Command Filtered Event-Triggered Adaptive Tracking Control for Fractional-Order Nonstrict Feedback System With Unmodeled Dynamics and Input Saturation 具有未建模动态和输入饱和的分数阶非严格反馈系统的命令滤波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 : 2025-03-30 DOI: 10.1002/rnc.7954

Xinfeng Zhu, Zihao Jiang

{"title":"Command Filtered Event-Triggered Adaptive Tracking Control for Fractional-Order Nonstrict Feedback System With Unmodeled Dynamics and Input Saturation","authors":"Xinfeng Zhu, Zihao Jiang","doi":"10.1002/rnc.7954","DOIUrl":"https://doi.org/10.1002/rnc.7954","url":null,"abstract":"<div>\u0000 \u0000 <p>This article investigates the adaptive tracking control problem for a class of nonlinear fractional-order nonstrict feedback systems with unmodeled dynamics, subject to input saturation, and under full state constraints. The problem of complexity explosion caused by backstepping scheme is avoided by using command filter. Compensation signals are introduced to eliminate filter errors. A logarithmic barrier Lyapunov function is used to address full-state constraints. Dynamic signal is designed to tackle unmodeled dynamics. A new auxiliary signal is proposed to handle saturation constraints. An event-triggering mechanism is introduced to reduce the computational burden while avoiding the Zeno phenomenon. Based on the fractional-order Lyapunov stability theory, it is proved that all signals in the closed-loop system are semiglobally uniformly bounded, and the tracking error converges to the specified performance bound. Finally, the rationality of the proposed strategy is verified through two simulation examples.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 12","pages":"4948-4962"},"PeriodicalIF":3.2,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144624815","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 Secure Consensus Estimation for Power Systems Against False Data Injection Attacks 电力系统抗假数据注入攻击的分布式安全一致性估计

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-03-30 DOI: 10.1002/rnc.7936

Zhijian Cheng, Hongru Ren, Jiahu Qin, Renquan Lu

{"title":"Distributed Secure Consensus Estimation for Power Systems Against False Data Injection Attacks","authors":"Zhijian Cheng, Hongru Ren, Jiahu Qin, Renquan Lu","doi":"10.1002/rnc.7936","DOIUrl":"https://doi.org/10.1002/rnc.7936","url":null,"abstract":"<div>\u0000 \u0000 <p>As a result of the rapid growth of distributed state estimation in modern power systems, power networks are facing increasingly serious security problems, thus requiring the advancement of defense techniques against cyber attacks. This paper is devoted to investigating distributed consensus state estimation with a defense mechanism against false data injection (FDI) attacks for power systems. By introducing a transformation matrix, the local subsystem model associated with the mixed remote terminal unit and phasor measurement unit measurements is constructed. Taking into account historical estimation information on state variables without being attacked, a defense mechanism constructed by secure historical estimation value is presented to protect the estimator against FDI attacks while maintaining accuracy in estimation. Then a distributed Kalman consensus filter (DKCF) is hosted to estimate the dynamic states of power systems under FDI attack protector. Considering scalability in large-scale power systems, a suboptimal DKCF with the designed protector is developed. By means of the Lyapunov-based approach, a sufficient condition is provided to ensure that the proposed estimator equipped with the defense mechanism is stable. Finally, the proposed distributed state estimation algorithms are validated on an IEEE benchmark 14-bus power system.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 11","pages":"4724-4737"},"PeriodicalIF":3.2,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144300435","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

Fixed-Time Adaptive Tracking Event-Based Control for Uncertain Stochastic Nonlinear Systems With Output Constraints 具有输出约束的不确定随机非线性系统的定时自适应跟踪控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-03-30 DOI: 10.1002/rnc.7955

Kun Wang, Liping Xie, Yixuan Yuan, Kanjian Zhang

{"title":"Fixed-Time Adaptive Tracking Event-Based Control for Uncertain Stochastic Nonlinear Systems With Output Constraints","authors":"Kun Wang, Liping Xie, Yixuan Yuan, Kanjian Zhang","doi":"10.1002/rnc.7955","DOIUrl":"https://doi.org/10.1002/rnc.7955","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper focuses on an adaptive fixed-time tracking control problem for nonstrict-feedback stochastic nonlinear systems with unknown control coefficients and output constraints. To overcome this problem, this article introduces a unified system transformation function to facilitate the transition of the system from constrained to unconstrained states. Subsequently, a fuzzy approximation principle is utilized for handling unknown terms in the transformed system, while Nussbaum functions are employed to manage unknown control directions. Then, combined with the backstepping technique, an adaptive fixed-time tracking controller is designed with an event-triggered mechanism, which not only achieves the convergence of tracking errors within a limited time independent of initial states, but also conserves resources. Under the proposed tracking controller, practical fixed-time stability can be ensured for the closed-loop system. Finally, two simulation examples demonstrate the efficacy of the proposed scheme.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 12","pages":"4963-4975"},"PeriodicalIF":3.2,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144624816","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