International Journal of Robust and Nonlinear Control最新文献

Cooperative Robust Output Regulation for Networks of Hyperbolic Systems With Unknown Signal Models

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-19 DOI: 10.1002/rnc.7715

Tarik Enderes, Joachim Deutscher

{"title":"Cooperative Robust Output Regulation for Networks of Hyperbolic Systems With Unknown Signal Models","authors":"Tarik Enderes, Joachim Deutscher","doi":"10.1002/rnc.7715","DOIUrl":"https://doi.org/10.1002/rnc.7715","url":null,"abstract":"<p>This Paper considers the cooperative robust output regulation problem for networks of heterodirectional hyperbolic systems, where the leader and disturbance dynamics are unknown to the followers. For this, a diffusively driven internal model is used, whose parameters are updated using an adaptive cooperative observer. The latter only communicates the coefficients of the characteristic polynomials related to the signal models. Hence, a minimal communication load is ensured, as, in addition, only the control inputs of the regulator have to be exchanged through the network. The adaptive internal model also ensures cooperative output regulation in the presence of model uncertainties, that do not destabilize the closed-loop system. A systematic backstepping approach is presented for stabilizing the uncertain closed-loop system. For this, solvability conditions are derived in terms of the agents transfer behaviour and the network topology. The presented adaptive regulator is validated in simulations for a network of three uncertain hyperbolic agents.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 4","pages":"1355-1367"},"PeriodicalIF":3.2,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7715","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116498","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

Fault Estimation and Fault-Tolerant Control of Multiple Faults and Uncertain Disturbances Based on Generalized Sliding Mode Method

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-19 DOI: 10.1002/rnc.7719

Junjie Zhang, Fangfang Zhang, Jie Li, Yuanhong Liu, Lei Kou, Michaël Antonie Van Wyk

{"title":"Fault Estimation and Fault-Tolerant Control of Multiple Faults and Uncertain Disturbances Based on Generalized Sliding Mode Method","authors":"Junjie Zhang, Fangfang Zhang, Jie Li, Yuanhong Liu, Lei Kou, Michaël Antonie Van Wyk","doi":"10.1002/rnc.7719","DOIUrl":"https://doi.org/10.1002/rnc.7719","url":null,"abstract":"<div>\u0000 \u0000 <p>Measuring element is always accompanied by uncertainty disturbances and multiple faults during the long time operation of industrial system in complex environment such as blade and pitch system of floating wind turbines. Timely detection of the fault and fault-tolerant control (FTC) perform a significant part in ensuring the stable operation of the system and saving maintenance fees. Sliding mode control is extensively applied to FTC because of its good robustness. Therefore, a sliding mode controller is constructed to guarantee the stability of the industrial plant which suffers multiple faults and uncertain disturbances. At the same time, most existing literature does not take into account several faults and uncertain disturbances. Firstly, employing generalized sliding mode method, we devise a sliding mode observer for evaluating state vector, actuator fault and sensor fault of the system. Secondly, according to the state estimation, we construct a sliding mode controller and prove its validity by Lyapunov's theorem. Our controller achieves satisfactory performance, and it is easier to be implemented in practical engineering than other controllers. Finally, we establish a SIMULINK model of blade and pitch system and make simulation experiments. Simulation outcomes validate the availability and practicability of our controller, which also provides a general scheme for fault estimation and FTC of other industrial plants.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 4","pages":"1368-1378"},"PeriodicalIF":3.2,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116499","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

Dynamic Event-Triggered Output-Feedback Control for Large-Scale Feedforward Nonlinear Discrete-Time Impulsive Systems

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-17 DOI: 10.1002/rnc.7763

Debao Fan, Xianfu Zhang, Yanan Qi, Hanfeng Li

{"title":"Dynamic Event-Triggered Output-Feedback Control for Large-Scale Feedforward Nonlinear Discrete-Time Impulsive Systems","authors":"Debao Fan, Xianfu Zhang, Yanan Qi, Hanfeng Li","doi":"10.1002/rnc.7763","DOIUrl":"https://doi.org/10.1002/rnc.7763","url":null,"abstract":"<div>\u0000 \u0000 <p>This article addresses the dynamic event-triggered output-feedback control problem for a class of large-scale feedforward nonlinear discrete-time impulsive systems. The investigated systems are allowed to contain impulse effects, discrete-time dynamics, and large-scale coupled characteristics, which brings substantial difficulties to the event-triggered control. It is worth noting that this scenario has not been considered in the existing works. For that, a novel dynamic event-triggered output-feedback control strategy is proposed in this article. Specifically, we apply a gain scaling approach to cope with system uncertainties and employ an average impulsive interval technique to suppress the undesirable impulse effects. Then, a novel low-gain discrete-time impulsive observer is constructed to estimate the unmeasurable system states. After that, a dynamic event-triggered output-feedback controller, which has a concise linear-like form, is delicately designed to ensure that all the signals of the resulting closed-loop system are globally bounded, and the system states converge to the origin. Moreover, by enhancing the gain scaling mechanism, we further develop an improved output-feedback control strategy to counteract stronger nonlinearities. Finally, the effectiveness of the proposed control strategy is demonstrated by a practical simulation example.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 5","pages":"1880-1890"},"PeriodicalIF":3.2,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380801","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 New Model-Free Adaptive Integral Sliding Mode Control for Interconnected Power Systems Load Frequency Control

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-14 DOI: 10.1002/rnc.7756

Ghazally Mustafa, Haoping Wang, M. D. Masum

{"title":"A New Model-Free Adaptive Integral Sliding Mode Control for Interconnected Power Systems Load Frequency Control","authors":"Ghazally Mustafa, Haoping Wang, M. D. Masum","doi":"10.1002/rnc.7756","DOIUrl":"https://doi.org/10.1002/rnc.7756","url":null,"abstract":"<div>\u0000 \u0000 <p>The paper proposes a novel model-free adaptive robust controller for load frequency control in multi-area interconnected power systems. The controller combines model-free control based on a nonlinear disturbance observer (NDOB) and adaptive integral sliding mode control. The main aim of the controller is to maintain the power system frequency close to the nominal value and achieve a balanced power exchange between tie-lines, considering the system's nonlinearities and disturbances. The proposed controller comprises four components. First, model-free intelligent PID control is implemented to overcome the complexity of the current controller, introduce the required dynamics, and reduce higher-order output derivatives. Second, a nonlinear disturbance observer is utilized to estimate the system dynamics considering uncertainties and load fluctuations. Third, fast convergence is achieved by employing an integral sliding surface. Finally, an adaptation gain dynamic is used to achieve high accuracy. The advantage of the proposed model-free adaptive robust controller lies in its simple structure and ease of regulation. The closed-loop system's stability and finite-time convergence are examined using Lyapunov stability theory. A comparison with recently published papers is conducted to validate the proposed controller's effectiveness. Additionally, robustness testing of the proposed method is performed in different scenarios.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 5","pages":"1792-1808"},"PeriodicalIF":3.2,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380909","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

Dynamic Event-Triggered Output Feedback Control for a Class of Uncertain Nonlinear Systems

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-13 DOI: 10.1002/rnc.7760

Zifan Liu, Lantao Xing, Chenghui Zhang

引用次数: 0

Complementary Filter-Based Incremental Nonlinear Model Following Control Design for a Tilt-Wing UAV

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-13 DOI: 10.1002/rnc.7743

Johannes Autenrieb, Hyo-Sang Shin

{"title":"Complementary Filter-Based Incremental Nonlinear Model Following Control Design for a Tilt-Wing UAV","authors":"Johannes Autenrieb, Hyo-Sang Shin","doi":"10.1002/rnc.7743","DOIUrl":"https://doi.org/10.1002/rnc.7743","url":null,"abstract":"<p>This article presents an incremental nonlinear model following control (INMFC) strategy for a tilt-wing vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV). To ensure a good and robust regulation performance, a two-loop feedback controller, based on the incremental backstepping (IBS) methodology, is used to handle uncertainties and external disturbances robustly. In order to ensure a good mode following and to aid the tracking performance of the flight control system, the first and second-time derivatives of the desired model response, computed by a model reference (MR) system, are either directly used as feedforward signals for the outer loop or are additionally transformed for the inner-loop by using an incremental nonlinear dynamic inversion (INDI) grounded approach to transform the signals based on known systems kinematics. In order to uniformly handle the overactuated flight vehicle in both mission model and during the transition, an operation mode-based weighted incremental linear control allocation approach is applied for safe operation. The performance of the suggested control approach is investigated by utilizing a high-fidelity nonlinear flight dynamics model of the tilt-wing system. The results presented in this paper demonstrate that the proposed control approach provides significant benefits for the robust control of the considered tilt-wing UAV.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 4","pages":"1596-1615"},"PeriodicalIF":3.2,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7743","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114692","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

Optimal Tampering Attack Strategy for FIR System Identification With Multi-Level Quantized Observations

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-12 DOI: 10.1002/rnc.7729

Wenke Liu, Fengwei Jing, Yinghui Wang, Jin Guo

引用次数: 0

Event-Triggered Fault-Tolerant Control for Nonlinear Multilateral Teleoperation System With Unknown Environmental Forces

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-09 DOI: 10.1002/rnc.7759

Ming Li, YangJie Chen, Jian-Ning Li

引用次数: 0

Leader-Following Consensus of Multiple Uncertain Rigid Body Systems by a Sampled-Data Adaptive Distributed Observer

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-09 DOI: 10.1002/rnc.7751

Changran He, Jie Huang

{"title":"Leader-Following Consensus of Multiple Uncertain Rigid Body Systems by a Sampled-Data Adaptive Distributed Observer","authors":"Changran He, Jie Huang","doi":"10.1002/rnc.7751","DOIUrl":"https://doi.org/10.1002/rnc.7751","url":null,"abstract":"<p>In this paper, we study the leader-following attitude consensus problem for multiple uncertain rigid body systems by a sampled-data adaptive distributed observer. Unlike the existing sampled-data distributed observer, which can only asymptotically estimate the state of the leader, the sampled-data adaptive distributed observer can estimate both the state and the system matrix of the leader exponentially. We synthesize a distributed control law utilizing sampled-data communications to solve the leader-following attitude consensus problem for multiple uncertain rigid body systems based on the sampled-data adaptive distributed observer. Moreover, we present a sufficient condition for guaranteeing the convergence of the estimated unknown parameters to their true values. Compared with a distributed control law that uses continuous-time communications, the distributed control law utilizing sampled-data communications consumes fewer communication resources and is more robust to communication failures. The effectiveness of our approach is verified by a numerical example.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 5","pages":"1719-1738"},"PeriodicalIF":3.2,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7751","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380153","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

Time/Event-Triggered Exponential Stabilization for Stochastic Systems: Enhancing Nonlinearity Tolerance

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-12-09 DOI: 10.1002/rnc.7764

Fengzhong Li, Yungang Liu

{"title":"Time/Event-Triggered Exponential Stabilization for Stochastic Systems: Enhancing Nonlinearity Tolerance","authors":"Fengzhong Li, Yungang Liu","doi":"10.1002/rnc.7764","DOIUrl":"https://doi.org/10.1002/rnc.7764","url":null,"abstract":"<div>\u0000 \u0000 <p>This article seeks the enhancement of nonlinearity tolerance in time/event-triggered stabilization for stochastic systems. In the related results, the controller functions are required to obey global Lipschitz condition for the suppression of sampling/execution error, and the drift and/or diffusion coefficients of the stochastic systems are restricted to polynomial or, even, linear growth. These limitations deserve overcoming for enlarged applications. To this end, a distinct framework of time/event-triggered controls is established for stochastic systems, targeted at exponential stabilization. Specifically, inclusive Lyapunov-type feasibility conditions are proposed by capturing the effect of sampling/execution error and distinguishing the role of system nonlinearities. Particularly, different from the related results, the evolution of sampling/execution error is subtly exploited via Lyapunov functions to reveal the dynamic interaction between the sampling/execution errors and system state. Then, time-triggered exponential stabilization via sampled-data controller is achieved not only in the moment sense but also in the almost sure sense. Accordingly, Lyapunov function based analysis is performed for the composite dynamics of system state and sampling error, confronted with the coupling of discontinuous and stochastic features. To further reduce execution, periodic event-triggered control is exploited to achieve exponential stabilization for stochastic nonlinear systems, by virtue of the relation with the dynamic evolution under sampled-data control. Through typical examples, we demonstrate the potential of our framework in handling the cases with the controller functions violating global Lipschitz condition and with the system nonlinearities beyond polynomial growth.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 5","pages":"1891-1903"},"PeriodicalIF":3.2,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380265","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