European Journal of Control最新文献

Consensus for discrete-time second-order multi-agent systems in the presence of noises and semi-Markovian switching topologies 存在噪声和半马尔可夫切换拓扑的离散-时间二阶多代理系统的共识

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-10-10 DOI: 10.1016/j.ejcon.2024.101124

引用次数: 0

Finite time stability condition for switched systems under restricted switching 受限开关下开关系统的有限时间稳定性条件

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-10-10 DOI: 10.1016/j.ejcon.2024.101125

引用次数: 0

A comprehensive control paradigm for prescribed performance attainment in complex nonlinear systems 实现复杂非线性系统规定性能的综合控制范例

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-10-09 DOI: 10.1016/j.ejcon.2024.101119

{"title":"A comprehensive control paradigm for prescribed performance attainment in complex nonlinear systems","authors":"","doi":"10.1016/j.ejcon.2024.101119","DOIUrl":"10.1016/j.ejcon.2024.101119","url":null,"abstract":"<div><div>This paper presents a comprehensive control framework tailored for achieving Prescribed Performance Control (PPC) in the context of complex nonlinear systems, addressing multifaceted challenges prevalent in control design. The focus is on a control scenario characterized by the simultaneous presence of nonlinearity, external disturbances, time delay, and unknown control direction—issues that pose considerable obstacles for existing solutions. To surmount these challenges, our proposed approach integrates well-established techniques, including neural networks, Nussbaum-type gains, and adaptive control strategies within a unified control design framework. The specific technical challenge addressed in this work involves the effective management of these intricate complexities in Single-Input Single-Output (SISO) systems. Our contributions extend the theoretical foundations, presenting an ideal PPC control design and introducing two adaptive neural network-based control methods capable of accommodating both known and unknown control directions. Utilizing Lyapunov–Krasovskii functionals, we showcase a unique integration that surpasses a mere combination of individual techniques. This work advances the theoretical underpinnings of control engineering tailored for real-world scenarios. The proposed controller’s efficacy is validated through rigorous simulations and compared with recent results and benchmark PPC controllers, establishing its superiority in addressing the intricacies of complex control scenarios.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423229","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

On the non-resiliency of subsequence reduced resilient consensus in multiagent networks 论多代理网络中子序列缩减弹性共识的非复原性

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-09-28 DOI: 10.1016/j.ejcon.2024.101120

{"title":"On the non-resiliency of subsequence reduced resilient consensus in multiagent networks","authors":"","doi":"10.1016/j.ejcon.2024.101120","DOIUrl":"10.1016/j.ejcon.2024.101120","url":null,"abstract":"<div><div>This paper studies resilient distributed consensus in networks lacking the structural robustness necessary for achieving consensus in the presence of misbehaving agents. Existing resilient consensus solutions, including widely adapted <em>weighted mean subsequence reduced (WMSR)</em> resilient consensus algorithm, present robustness conditions guaranteeing consensus among normal agents. However, when the graph is less robust than required, they only inform that agents fail to achieve consensus and do not evaluate the network performance comprehensively in such non-ideal scenarios. To address this limitation, we analyze the performance of resilient consensus in non-ideal situations by introducing the concept of <em>non-convergent nodes</em>. These nodes/agents cannot achieve consensus with any arbitrary agent due to the presence of misbehaving agents in the network. This notion enables ordering graphs that lack required robustness and facilitates the assessment of partial performance. Additionally, we demonstrate that among graphs with the same level of robustness (measured by their <span><math><mrow><mo>(</mo><mi>r</mi><mo>,</mo><mi>s</mi><mo>)</mo></mrow></math></span>-robustness), the number of non-convergent nodes varies significantly, indicating differing degrees of non-resilience. We also present numerical evaluation of results. Our approach quantifies the network performance under sub-optimal robustness conditions and offers a comprehensive resilience perspective.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423279","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

Computation of feedback control laws based on switched tracking of demonstrations 基于切换跟踪演示的反馈控制法则的计算

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-09-26 DOI: 10.1016/j.ejcon.2024.101118

引用次数: 0

Adaptive quadrotor control using online dynamic mode decomposition 利用在线动态模式分解实现自适应四旋翼飞行器控制

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-09-24 DOI: 10.1016/j.ejcon.2024.101117

引用次数: 0

Controller switching with the anti-bump adapter 使用防撞适配器切换控制器

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-09-21 DOI: 10.1016/j.ejcon.2024.101116

{"title":"Controller switching with the anti-bump adapter","authors":"","doi":"10.1016/j.ejcon.2024.101116","DOIUrl":"10.1016/j.ejcon.2024.101116","url":null,"abstract":"<div><div>Switching on a new or retuned controller while keeping the control loop engaged tends to generate transient “bumps” in the commands and plant outputs. For a linear time-invariant (LTI) controller in state–space form, these bumps can be mitigated or even suppressed by resetting the controller state to an appropriate non-zero value adapted to the pre-switching trajectories of the feedback loop signals. This paper proposes a simple way to compute this adapted controller state by minimizing the difference between the commands actually applied immediately before switching and the virtual command trajectory which the new controller would have generated if it had been activated in parallel. This adapted state can be recursively computed as the output of an LTI system in standard state–space form, the anti-bump adapter. Computing the anti-bump adapter involves only standard matrix algebra and control concepts (e.g., observability and controllability matrices/Gramians). Calculations are very simple and can be translated into compact computer code. This bump suppression procedure is applicable to any discrete-time or continuous-time LTI SISO or MIMO controller, without any assumption on or knowledge of either the previously active controller or the plant. Illustrative applications to continuous-time and discrete-time switching problems and a <span>Matlab</span>® code for computing the anti-bump adapter are presented.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357699","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

Adaptive finite time command filtered backstepping control scheme of uncertain strict-feedback nonlinear systems 不确定严格反馈非线性系统的自适应有限时间指令滤波反步控制方案

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-09-18 DOI: 10.1016/j.ejcon.2024.101103

引用次数: 0

Practical fixed-time non-singular sliding mode control of second order nonlinear dynamic systems with chattering and overshooting avoidance 避免颤振和过冲的二阶非线性动态系统的实用固定时间非矢量滑动模式控制

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-09-17 DOI: 10.1016/j.ejcon.2024.101114

引用次数: 0

Invariant set estimation for piecewise affine dynamical systems using piecewise affine barrier function 利用片断仿射障碍函数估算片断仿射动力系统的不变集

IF 2.5 3区计算机科学

European Journal of Control Pub Date : 2024-09-13 DOI: 10.1016/j.ejcon.2024.101115

{"title":"Invariant set estimation for piecewise affine dynamical systems using piecewise affine barrier function","authors":"","doi":"10.1016/j.ejcon.2024.101115","DOIUrl":"10.1016/j.ejcon.2024.101115","url":null,"abstract":"<div><p>This paper introduces an algorithm for estimating the invariant set of closed-loop controlled dynamical systems identified using single-hidden layer Rectified linear units (ReLU) neural networks or piecewise affine (<span><math><mi>PWA</mi></math></span>) functions, particularly addressing the challenge of providing safety guarantees for single-hidden layer ReLU networks commonly used in safety–critical applications. The invariant set of <span><math><mi>PWA</mi></math></span> dynamical system is estimated using single-hidden layer ReLU networks or its equivalent <span><math><mi>PWA</mi></math></span> function. This method entails formulating the barrier function as a <span><math><mi>PWA</mi></math></span> function and converting the search process into a linear optimization problem using vertices. We incorporate a domain refinement strategy to increase flexibility in case the optimization does not find a valid barrier function. Moreover, the objective of the optimization is to find a less conservative invariant set based on the current partition. Our experimental results demonstrate the effectiveness and efficiency of our approach, demonstrating its potential for ensuring the safety of <span><math><mi>PWA</mi></math></span> dynamical systems.</p></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239071","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