{"title":"Distributed‐filter‐based double event‐triggered formation control for stochastic nonlinear MASs under switching topologies","authors":"Yonghua Peng, Guohuai Lin, Hongru Ren, Hongyi Li","doi":"10.1002/rnc.7631","DOIUrl":"https://doi.org/10.1002/rnc.7631","url":null,"abstract":"This article investigates a formation control method for stochastic nonlinear multi‐agent systems (MASs) under switching topologies. To reduce the communication bandwidth occupancy, two event‐triggered mechanisms of sensor‐to‐controller and controller‐to‐actuator network channels are proposed. Taking advantage of the neural networks approximation capability, a dynamic high‐gain observer is introduced to estimate unmeasured states and tackle the non‐differentiable issue of triggered output signal. Furthermore, it should be noted that a distributed filter is employed to handle the discontinuous local reference signal resulting from switching topologies. By using discontinuous topology information, the distributed filter generates a differentiable signal to design a virtual controller. Concomitantly, a first‐order filter is implemented to avoid the problem of “explosion of complexity.” Through stability analysis, it is proven that the designed formation controller achieves boundedness in probability for all signals in the stochastic nonlinear MASs. Ultimately, a simulation is performed to confirm the viability of the control approach.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"20 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214547","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":"Design and application of finite‐time tracking control for autonomous ground vehicle affected by external disturbances","authors":"Zongliang Chen, Shuguo Pan, Xinhua Tang, Xiaolin Meng, Wang Gao, Baoguo Yu","doi":"10.1002/rnc.7623","DOIUrl":"https://doi.org/10.1002/rnc.7623","url":null,"abstract":"Path tracking plays a critical role in autonomous driving for autonomous ground vehicle (AGV). However, AGV faces challenges in accurate tracking and chatter reduction due to external disturbances, making it difficult to meet the tracking performance requirements. Currently, sliding mode control (SMC) and disturbances observer are primarily employed for disturbance estimation. However, ensuring finite‐time robust control remains a significant challenge. To ensure rapid convergence of tracking errors and effective disturbance rejection, this paper proposed a novel non‐singular fast terminal sliding mode (NFTSM) control scheme based on finite‐time disturbance observation (FDO). First, a novel NFTSM controller based on AGV dynamic model is developed to achieve fast convergence of tracking errors. Then, to mitigate disturbances effects and suppress chatter, an innovative FDO method is employed. Finally, based on FDO, the NFTSM‐FDO establishes a control scheme that enhances disturbances suppression and accelerates convergence. The simulation and experimental results demonstrate the innovation of the proposed method. Compared with other SMC methods, the results validate the effectiveness and advantages of the proposed approach, exhibiting fast convergence and superior tracking performance.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"118 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214545","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}
Yuanhao Zhao, Nannan Rong, Sanbo Ding, Hongchao Li
{"title":"A new insight on the event‐triggered state feedback control for Markov jump systems","authors":"Yuanhao Zhao, Nannan Rong, Sanbo Ding, Hongchao Li","doi":"10.1002/rnc.7632","DOIUrl":"https://doi.org/10.1002/rnc.7632","url":null,"abstract":"The event‐triggered control of Markov jump systems has attracted more and more interest in field control. However, the problem of how to design a transition probability‐dependent event‐triggered mechanism and controller has not been fully considered. This paper investigates the problem of event‐triggered control for Lipschitz nonlinear Markov jump systems. Through Taylor series expansion, a linear auxiliary system is constructed to obtain the approximate state, whose system matrices are described by the probability‐weighted matrices of nonlinear Markov jump systems. By redefining the measurement error as the difference between the current state and the approximate state, a probability‐dependent event‐triggered mechanism is designed for Markov jump systems. The effectiveness of the developed approach is illustrated by two comparison examples.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"38 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214546","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":"Online actor‐critic learning control with self‐triggered mechanism for nonlinear regulation problems","authors":"Guilong Liu, Yongliang Yang, Qing Li, Hamidreza Modares","doi":"10.1002/rnc.7608","DOIUrl":"https://doi.org/10.1002/rnc.7608","url":null,"abstract":"In this article, a novel self‐triggered mechanism is developed to reduce the computation burden and communication bandwidth for the optimal regulation problem of nonlinear dynamical systems. Compared with existing results, this article can avoid continuous measurement of online signals while achieving the performance optimization with closed‐loop system stability guarantee. The self‐triggered mechanism is combined with the actor‐critic structure for performance optimization, where the critic is trained to provide a guideline to improve the actor. The actor‐critic learning is implemented as a hybrid system, where the critic weights update as a continuous flow, and the actor weights are adapted intermittently. The simulation study is conducted to verify the effectiveness of the proposed self‐triggered actor‐critic learning.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"18 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214548","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":"Asynchronous event‐triggered control for switched T–S fuzzy systems under dual‐channel hybrid cyber attacks","authors":"Xiangtong Tan, Xiehuan Li, Guangdeng Zong","doi":"10.1002/rnc.7629","DOIUrl":"https://doi.org/10.1002/rnc.7629","url":null,"abstract":"This article presents an asynchronous event‐triggered scheme for switched Takagi–Sugeno (T–S) fuzzy systems against dual‐channel hybrid cyber attacks. Different from existing results, both sensor and controller channels are subjected to aperiodic denial‐of‐service attacks and random false data injection attacks. To efficiently utilize dual‐channel network communication resources while resisting hybrid attacks, two resilient event‐triggered mechanisms (ETMs) are constructed. Considering asynchronous ETMs and hybrid cyber attacks, the time‐delay switched T–S fuzzy system is derived by utilizing model transformation methods. Thereby, the stability conditions are derived by utilizing multiple Lyapunov functions technique, and slack matrices are introduced to further relax the conditions. Finally, two examples are given to demonstrate the effectiveness of the developed event‐based security control strategy.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"416 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214549","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":"Towards optimal spatio‐temporal decomposition of control‐related sum‐of‐squares programs","authors":"Vít Cibulka, Milan Korda, Tomáš Haniš","doi":"10.1002/rnc.7596","DOIUrl":"https://doi.org/10.1002/rnc.7596","url":null,"abstract":"This paper presents a method for calculating the Region of Attraction (ROA) of nonlinear dynamical systems, both with and without control. The ROA is determined by solving a hierarchy of semidefinite programs (SDPs) defined on a splitting of the time and state space. Previous works demonstrated that this splitting could significantly enhance approximation accuracy, although the improvement was highly dependent on the ad‐hoc selection of split locations. In this work, we eliminate the need for this ad‐hoc selection by introducing an optimization‐based method that performs the splits through conic differentiation of the underlying semidefinite programming problem. We provide the differentiability conditions for the split ROA problem, prove the absence of a duality gap, and demonstrate the effectiveness of our method through numerical examples.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"12 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214573","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":"A passive convex optimal control algorithm for teleoperating a redundant robotic arm in minimally invasive surgery","authors":"Nicola Piccinelli, Gianluca Colombo‐Taccani, Riccardo Muradore","doi":"10.1002/rnc.7613","DOIUrl":"https://doi.org/10.1002/rnc.7613","url":null,"abstract":"In recent years, the remote center of motion (RCM) constraint has moved from purely mechanical to software implementation, enabling the use of serial manipulators in robotic‐assisted minimal invasive surgery. However, ensuring safety with software‐based RCM presents challenges. This article addresses this issue by introducing a novel control algorithm for a 7‐DOF redundant robotic arm, taking into account a software RCM while considering system passivity and kinematic constraints. The algorithm is both a control optimizer and a robot kinematics inversion, enabling precise and dexterous control for various surgical tasks and other control applications. By formulating a quadratic optimization problem under linear constraints, the algorithm guarantees the robotic arm's performance, safety, and stability under communication delay. Experimental validation demonstrates the effectiveness and accuracy of the control algorithm in executing a surgical training task (peg‐and‐ring) during bilateral teleoperation. The results highlight the successful implementation of the RCM constraint, ensuring patient safety and optimizing the manipulation capabilities of the robotic arm.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"23 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227834","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":"Localized data‐driven consensus control for continuous‐time multi‐agent systems","authors":"Zeze Chang, Zhongkui Li","doi":"10.1002/rnc.7625","DOIUrl":"https://doi.org/10.1002/rnc.7625","url":null,"abstract":"This article proposes a <jats:italic>localized</jats:italic> data‐driven consensus framework for leader‐follower multi‐agent systems with unknown continuous‐time agent dynamics for both noiseless and noisy data scenarios. In this setting, each follower calculates its feedback control gain based on its locally sampled data, including the states, state derivatives, and inputs. We propose novel distributed control protocols that synchronize the distinct dynamic feedback gains and achieve leader‐follower consensus. Design methods are provided for the devised data‐based consensus control algorithms, which rely on low‐dimensional linear matrix inequalities. The validity of the developed algorithms is demonstrated via simulation examples.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"9 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214550","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}
Zichun Zhao, Ruijun Zhang, Xiaolei Su, Shengnan Zhang, Qin He
{"title":"Research on anti‐saturation horizontal vibration model and neural network adaptive integral terminal sliding mode control strategy for high‐speed elevator car system","authors":"Zichun Zhao, Ruijun Zhang, Xiaolei Su, Shengnan Zhang, Qin He","doi":"10.1002/rnc.7618","DOIUrl":"https://doi.org/10.1002/rnc.7618","url":null,"abstract":"A neural network adaptive integral terminal sliding mode control method with input saturation is proposed for the horizontal vibration problem of high‐speed elevator car systems caused by uncertainties such as guideway excitation and shaft piston wind change. First, considering the input saturation problem existing in the elevator control actuator, a class of smooth functions is introduced to approximate the nonlinearity of switching saturation, and an eight‐degree‐of‐freedom asymmetric anti‐saturation nonlinear system model of the high‐speed elevator car is established; second, in order to solve the singularity problem existing in the terminal sliding‐mode control, a nonlinear term is introduced into the sliding‐mode design, and a neural network is utilized for the fitting of the complex unknown function, and the design of the an adaptive integral terminal sliding mode controller (AITSMC), which enables the state variables of the system to achieve finite time convergence and proves the stability of the system by using Lyapunov theory; finally, under the action of two typical guide excitations, the proposed controller is compared with the passive control and adaptive control (AC), and the results show that, after adopting the proposed control method, the vibration acceleration eigenvalue is reduced by more than 60%, which effectively suppresses the horizontal vibration of the car system and verifies the effectiveness of the proposed controller.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"139 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214552","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}
Alireza Emami, Rui Araújo, Sérgio Cruz, A. Pedro Aguiar
{"title":"Engineering approach to construct robust filter for mismatched nonlinear dynamic systems","authors":"Alireza Emami, Rui Araújo, Sérgio Cruz, A. Pedro Aguiar","doi":"10.1002/rnc.7615","DOIUrl":"https://doi.org/10.1002/rnc.7615","url":null,"abstract":"This article proposes a novel approach to design a robust estimator that is able to keep its consistency in system state estimation when system process model mismatch occurs. To successfully develop such an estimator, not only the estimation strategy proposed but also the designer's knowledge and experience about the system behavior are crucial and determining. To assess the performance of the resultant estimator, its performance is compared with that of three well‐known estimators, that is, the unscented Kalman filter, the cubature Kalman filter, and the extended Kalman filter on the IEEE 5‐generator 14‐bus system. The results indicate that the proposed method has led to an estimator outperforming its rivals under the presence of model errors.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"5 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214551","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}