AutomaticaPub Date : 2024-10-02DOI: 10.1016/j.automatica.2024.111965
Xiaoyu Li , Yuhu Wu , Lining Ru
{"title":"Rendezvous analysis and control design for multiple mobile agents with preserved network connectivity on hyperboloid","authors":"Xiaoyu Li , Yuhu Wu , Lining Ru","doi":"10.1016/j.automatica.2024.111965","DOIUrl":"10.1016/j.automatica.2024.111965","url":null,"abstract":"<div><div>This paper studies the rendezvous problem for a second-order multi-agent system on the hyperboloid under a proximity-based communication topology. Using the Riemannian geometrical structure on the hyperboloid, we design a nonlinear feedback control law in which each agent has a limited sensing range. By analyzing the switching behavior of the communication topology, we show that the switching time of the resulting closed-loop system is finite, and the connectivity of the communication topology is preserved if the initial network is connected. In addition, we also provide an analysis of the asymptotic behavior of the second-order closed-loop system on the hyperboloid and prove that the proposed feedback control law enables all agents to converge to the same position.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111965"},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AutomaticaPub Date : 2024-10-02DOI: 10.1016/j.automatica.2024.111961
Xinhui Rong, Victor Solo
{"title":"Stable reduced-rank VAR identification","authors":"Xinhui Rong, Victor Solo","doi":"10.1016/j.automatica.2024.111961","DOIUrl":"10.1016/j.automatica.2024.111961","url":null,"abstract":"<div><div>The vector autoregression (VAR) has been widely used in system identification, econometrics, natural science, and many other areas. However, when the state dimension becomes large the parameter dimension explodes. So rank reduced modelling is attractive and is well developed. But a fundamental requirement in almost all applications is stability of the fitted model. And this has not been addressed in the rank reduced case. Here, we develop, for the first time, a closed-form formula for an estimator of a rank reduced transition matrix which is guaranteed to be stable. We show that our estimator is consistent and asymptotically statistically efficient and illustrate it in comparative simulations.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111961"},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
AutomaticaPub Date : 2024-10-02DOI: 10.1016/j.automatica.2024.111963
Ning Zhang , Zheng Wang , Ju H. Park , Wenxue Li
{"title":"Semi-global synchronization of stochastic mixed time-delay systems with Lévy Noise under aperiodic intermittent delayed sampled-data control","authors":"Ning Zhang , Zheng Wang , Ju H. Park , Wenxue Li","doi":"10.1016/j.automatica.2024.111963","DOIUrl":"10.1016/j.automatica.2024.111963","url":null,"abstract":"<div><div>This article studies the semi-globally exponential synchronization of stochastic mixed time-delay systems with Lévy noise (SMTDSLN) under aperiodic intermittent delayed sampled-data control (AIDSC). Thereinto, a new aperiodic intermittent sampled-data control, which is aperiodically intermittent and samples at a past interval but not a moment, is proposed. Secondly, considering the coupling factor, we utilize the vertex Lyapunov–Krasovskii (L–K) functional and combine the graph theory method to construct the global L–K functional and give its properties. This construction method is introduced for the first time in studying the semi-globally exponential synchronization of SMTDSLN. Next, combined with Halanay inequality, sufficient conditions for semi-global synchronization of SMTDSLN under AIDSC are given, including estimations of the non-control rate and the relationship between the initial condition range and AIDSC. Finally, we apply these results to bidirectional associative memory neural networks (BAMNNs) and give two corresponding numerical examples to demonstrate the validity of the theoretical results.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111963"},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AutomaticaPub Date : 2024-10-02DOI: 10.1016/j.automatica.2024.111944
Leilei Cui , Bo Pang , Miroslav Krstić , Zhong-Ping Jiang
{"title":"Learning-based adaptive optimal control of linear time-delay systems: A value iteration approach","authors":"Leilei Cui , Bo Pang , Miroslav Krstić , Zhong-Ping Jiang","doi":"10.1016/j.automatica.2024.111944","DOIUrl":"10.1016/j.automatica.2024.111944","url":null,"abstract":"<div><div>This paper proposes a novel learning-based adaptive optimal controller design method for a class of continuous-time linear time-delay systems. A key strategy is to exploit the state-of-the-art reinforcement learning (RL) techniques and adaptive dynamic programming (ADP), and propose a data-driven method to learn the near-optimal controller without the precise knowledge of system dynamics. Specifically, a value iteration (VI) algorithm is proposed to solve the infinite-dimensional Riccati equation for the linear quadratic optimal control problem of time-delay systems using finite samples of input-state trajectory data. It is rigorously proved that the proposed VI algorithm converges to the near-optimal solution. Compared with the previous literature, the nice features of the proposed VI algorithm are that it is directly developed for continuous-time systems without discretization and an initial admissible controller is not required for implementing the algorithm. The efficacy of the proposed methodology is demonstrated by two practical examples of metal cutting and autonomous driving.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111944"},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AutomaticaPub Date : 2024-10-02DOI: 10.1016/j.automatica.2024.111964
Hao Li , Chang-Chun Hua , Kuo Li
{"title":"Secure state constraints control design for uncertain nonlinear systems via a unified boundary modification approach","authors":"Hao Li , Chang-Chun Hua , Kuo Li","doi":"10.1016/j.automatica.2024.111964","DOIUrl":"10.1016/j.automatica.2024.111964","url":null,"abstract":"<div><div>This paper investigates the tracking control problem of uncertain nonlinear systems under secure full-state constraints. Existing results implicitly assume that the constraints are reasonable and feasible control strategy capable of maintaining such constraints exists, which is unrealistic, especially for uncertain nonlinear systems, pre-determining the controllable attractor domain poses a challenge. In this paper, we present a unified boundary modification approach, which addresses the incompatibility problem between state constraints and ensures the secure operation of the system. First, we complete the direct constraints on the states using nonlinear state-dependent functions, where constraints comprise two components: (1) user-specified boundaries and (2) dynamic modification part. Then, we construct detection variables to determine whether the system loses control due to incompatible constraints. When the system enters the collision avoidance region, the dynamic adjustment function automatically corrects the constraints to ensure controllability and stability. The dynamic adjustment function remains inactive when the system operates within the safe region. Thus, existing state constraint results are a special case of ours. Moreover, we introduce a novel transformation so that the initial conditions of virtual controller are not restricted by the barrier function. The solution is more flexible in design and implementation, and the tracking error is confined within the specified performance envelope. Finally, numerical simulations validate the effectiveness of the approach.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111964"},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AutomaticaPub Date : 2024-10-02DOI: 10.1016/j.automatica.2024.111957
Ziqiao Zhang , Said Al-Abri , Fumin Zhang
{"title":"A generalized Kuramoto model for opinion dynamics on the unit sphere","authors":"Ziqiao Zhang , Said Al-Abri , Fumin Zhang","doi":"10.1016/j.automatica.2024.111957","DOIUrl":"10.1016/j.automatica.2024.111957","url":null,"abstract":"<div><div>In this paper, we develop novel opinion dynamics on the unit sphere for multi-agent systems that provide rich opinion behaviors. The evolution of opinions on the unit sphere is designed based on interactions with neighbors on unsigned graphs. The opinion dynamics on the circle coincide with the well-known Kuramoto model. We then propose a high-dimensional model for opinion dynamics that generalizes the Kuramoto model to unit spheres with dimension higher than one. We characterize the stability of equilibria for the proposed opinion dynamics on the unit sphere, and show that some equilibria are stable. The performance of the proposed model is illustrated through simulations on both the unit circle and the three-dimensional unit sphere.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111957"},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AutomaticaPub Date : 2024-10-01DOI: 10.1016/j.automatica.2024.111949
Cemal Tugrul Yilmaz, Connor Watson, Tania K. Morimoto, Miroslav Krstic
{"title":"Adaptive model-free disturbance rejection for continuum robots","authors":"Cemal Tugrul Yilmaz, Connor Watson, Tania K. Morimoto, Miroslav Krstic","doi":"10.1016/j.automatica.2024.111949","DOIUrl":"10.1016/j.automatica.2024.111949","url":null,"abstract":"<div><div>This paper presents two model-free control strategies for the rejection of unknown disturbances in continuum robots. The strategies utilize a neural network-based approximation technique to estimate the uncertain Jacobian matrix using position measurements. The first strategy is designed for periodic disturbances and employs an adaptive model-free controller in conjunction with an adaptive disturbance observer. The second strategy is designed for robustness against arbitrary disturbances and employs time-varying input and update law gains that grow monotonically, resulting in the achievement of asymptotic, exponential, and prescribed-time reference trajectory tracking. The notion of fixed-time stabilization in prescribed time is particularly noteworthy, as it allows for the predefinition of a terminal time, independent of initial conditions and system parameters. A formal stability analysis is presented for each strategy, and the strategies are both tested experimentally with a concentric tube robot subject to unknown disturbances.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111949"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
AutomaticaPub Date : 2024-10-01DOI: 10.1016/j.automatica.2024.111948
Linglong Du , Yue Wang , Ke Wang
{"title":"Inhomogeneous Hegselmann–Krause models with two types of noise","authors":"Linglong Du , Yue Wang , Ke Wang","doi":"10.1016/j.automatica.2024.111948","DOIUrl":"10.1016/j.automatica.2024.111948","url":null,"abstract":"<div><div>We derive two types of stochastic Hegselmann–Krause opinion formation models with leadership, study their different asymptotic behaviors and the noise effect to the leader’s control. Firstly, we propose a stochastic model with a multiplicative noise, which mimics the randomness from communication uncertainty. Using the Lyapunov functional approach, we provide a sufficient condition leading to the almost surely consensus behavior, which partially explains the mechanism that the group with large size and strong leadership can tolerate strong noise produced by communication uncertainty. The second noise comes from environmental uncertainty, fluctuates the system and makes opinions diverse and inclusive. We derive a stochastic model with additive noise, show that the noise from the environment destroys the leadership. However, the relative fluctuations of the followers’ opinions around the leader’s opinion have a uniformly bounded variance, which means they are still in a same group with the leader’s control. Finally, numerical simulations are performed to confirm theoretical results and explore more findings.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111948"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AutomaticaPub Date : 2024-09-30DOI: 10.1016/j.automatica.2024.111936
Alejandro I. Maass , Dragan Nešić , Romain Postoyan , Vineeth S. Varma , Samson Lasaulce , Diego Muñoz-Carpintero
{"title":"Transmit power policies for stochastic stabilisation of multi-link wireless networked control systems","authors":"Alejandro I. Maass , Dragan Nešić , Romain Postoyan , Vineeth S. Varma , Samson Lasaulce , Diego Muñoz-Carpintero","doi":"10.1016/j.automatica.2024.111936","DOIUrl":"10.1016/j.automatica.2024.111936","url":null,"abstract":"<div><div>Transmit power control is crucial in wireless networks due to limited battery power, impacting both economic and environmental aspects by reducing power consumption. High transmission power diminishes node lifespan, causes interference, and pollution. Existing work in wireless networks mainly focuses on power policies for communication aspects like quality of service and channel capacity, while wireless networked control systems (WNCSs) require adapted policies for control-oriented requirements such as stability. Recent research in the control community has predominantly focused on linear systems or non-linear systems with a single-link perspective. This paper introduces a framework for designing stabilising transmit power levels for broader classes of non-linear plants and multi-link scenarios. By considering the non-linear relationship between channel success probabilities and transmit power, we establish stability conditions linking channel probabilities and transmission rate. These results, along with practical interference models, offer a methodology for stabilising transmit power in non-linear and multi-link WNCSs.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111936"},"PeriodicalIF":4.8,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AutomaticaPub Date : 2024-09-30DOI: 10.1016/j.automatica.2024.111951
Tao Chen, Lei Wang, Zhitao Liu, Hongye Su
{"title":"Command-governor-based stealthy attack design for estimation difference regulation","authors":"Tao Chen, Lei Wang, Zhitao Liu, Hongye Su","doi":"10.1016/j.automatica.2024.111951","DOIUrl":"10.1016/j.automatica.2024.111951","url":null,"abstract":"<div><div>In the field of cyber–physical systems, significant attention has been received by the problem of stealthy attack strategy design for remote estimators, for which most existing approaches are exploited by maximizing the difference between the healthy and attacked estimations. However, in some practical scenarios, it is more effective to regulate such difference to some specific set so as to achieve some desired damages, e.g., collisions of unmanned aerial vehicles. Motivated by this, in this paper a novel stealthy attack strategy is developed with the attack purpose of regulating, instead of maximizing, the estimation difference. By constructing the stealthy constraint and identifying the feasible reference set, it is shown that such a design problem can be transformed into that of regulation subject to constraints on estimation and innovation difference. Then, an <em>on-line</em> attack sequence design approach is proposed by incorporating the command governor into the linear quadratic regulator, which regulates the estimation difference to the target reference for achieving the desired attack purpose, while maintaining stealthiness. Numerical simulations are conducted to verify the effectiveness of the proposed attack strategy.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111951"},"PeriodicalIF":4.8,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}