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Trajectory generation for the unicycle model using semidefinite relaxations 利用半有限松弛为单车模型生成轨迹
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101063
Hannah Häring , Dennis Gramlich , Christian Ebenbauer , Carsten W. Scherer
We develop a convex relaxation for the minimum energy control problem of the well-known unicycle model in the form of a semidefinite program. Through polynomialization techniques, the infinite-dimensional optimal control problem is first reformulated as a non-convex, infinite-dimensional quadratic program which can be viewed as a trajectory generation problem. This problem is then discretized to arrive at a finite-dimensional, albeit, non-convex quadratically constrained quadratic program. By applying the moment relaxation method to this quadratic program, we obtain a hierarchy of semidefinite relaxations. We construct an approximate solution for the infinite-dimensional trajectory generation problem by solving the first- or second-order moment relaxation. A comprehensive simulation study provided in this paper suggests that the second-order moment relaxation is lossless.
我们以半有限元程序的形式为著名的单轮车模型的最小能量控制问题开发了一种凸松弛方法。通过多项式化技术,无穷维最优控制问题首先被重新表述为一个非凸的无穷维二次方程程序,该程序可被视为轨迹生成问题。然后,将该问题离散化,得到一个有限维的非凸二次约束二次方程程序。通过对这个二次方程程应用矩松弛法,我们得到了一个半有限松弛的层次结构。通过求解一阶或二阶矩松弛法,我们构建了无穷维轨迹生成问题的近似解。本文提供的综合模拟研究表明,二阶矩松弛是无损的。
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引用次数: 0
Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression 利用高斯过程回归实现多代理系统安全共识控制的分散事件触发在线学习
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101058
Xiaobing Dai , Zewen Yang , Mengtian Xu , Sihua Zhang , Fangzhou Liu , Georges Hattab , Sandra Hirche
Consensus control in multi-agent systems has received significant attention and practical implementation across various domains. However, managing consensus control under unknown dynamics remains a significant challenge for control design due to system uncertainties and environmental disturbances. This paper presents a novel learning-based distributed control law augmented by auxiliary dynamics. Gaussian processes are harnessed to compensate for the unknown components of the multi-agent system. For continuous enhancement in the predictive performance of the Gaussian process model, a data-efficient online learning strategy with a decentralized event-triggered mechanism is proposed. Furthermore, the control performance of the proposed approach is ensured via the Lyapunov theory, based on a probabilistic guarantee for prediction error bounds. To demonstrate the efficacy of the proposed learning-based controller, a comparative analysis is conducted, contrasting it with both conventional distributed control laws and offline learning methodologies.
多智能体系统中的共识控制受到了广泛关注,并在各个领域得到了实际应用。然而,由于系统的不确定性和环境干扰,在未知动态下管理共识控制仍是控制设计的一大挑战。本文提出了一种新颖的基于学习的分布式控制法,并通过辅助动力学进行了增强。利用高斯过程来补偿多代理系统的未知成分。为了不断提高高斯过程模型的预测性能,本文提出了一种具有分散事件触发机制的数据高效在线学习策略。此外,基于预测误差边界的概率保证,通过 Lyapunov 理论确保了所提方法的控制性能。为了证明所提出的基于学习的控制器的有效性,我们进行了对比分析,将其与传统的分布式控制法和离线学习方法进行了对比。
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引用次数: 0
Supervisory control under delayed observations of events and states 事件和状态延迟观测下的监督控制
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101069
Jiayuan Liang , Yanwei Zang , Wenbiao Zhang , Chaohui Gong , Lachlan L.H. Andrew , Hanran Zhang , Weilin Wang
In discrete event systems, it is often convenient and possible to observe directly whether or not the system is in a subset of the state space, typically after some delay, even if some event occurrences leading to the current state were not observed. We model supervisory control with the delayed observations of events and states and investigate the existence of a supervisor to obtain a given desired language accordingly. An existence verifier with polynomial run time is presented.
在离散事件系统中,直接观察系统是否处于状态空间的一个子集通常是非常方便和可行的,通常会经过一定的延迟,即使没有观察到导致当前状态的某些事件发生。我们利用对事件和状态的延迟观测来建立监督控制模型,并相应地研究监督者的存在性,以获得给定的期望语言。我们提出了一个运行时间为多项式的存在性验证器。
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引用次数: 0
Robust design of phase-locked loops in grid-connected power converters 并网变流器中锁相环的稳健设计
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101055
Riya Mathew , Juan G. Rueda-Escobedo , Johannes Schiffer
Phase-locked loop (PLL) algorithms are key elements for the successful integration of converter-interfaced renewable energy sources to the grid. Their main task is to estimate the phase angle of the terminal grid voltage with the aim to keep the converter output current synchronized to it. Yet, due to the increasing penetration of power-electronics-interfaced devices in power systems, the grid voltage signal becomes increasingly disturbed, making the reliable phase estimation a highly demanding task. To address this challenge, we present a robust design method based on matrix inequalities to tune the PLL gains, such that the estimation errors remain bounded in the presence of additive disturbances. Our design approach is formulated as a set of bilinear matrix inequalities (BMIs), which we then propose to solve using the P-K iteration method. This results in a convex problem to be solved at each step. Finally, the benefits of the proposed robust design are illustrated via a numerical example.
锁相环(PLL)算法是将可再生能源变流器成功并入电网的关键因素。其主要任务是估算终端电网电压的相位角,以保持变流器输出电流与之同步。然而,由于电力系统中电力电子接口设备的渗透率越来越高,电网电压信号受到的干扰也越来越大,因此可靠的相位估算成为一项要求极高的任务。为了应对这一挑战,我们提出了一种基于矩阵不等式的稳健设计方法来调整 PLL 增益,从而使估计误差在存在加性干扰时保持在一定范围内。我们的设计方法被表述为一组双线性矩阵不等式 (BMI),然后我们建议使用 P-K 迭代法来求解。这样,每一步都要解决一个凸问题。最后,我们将通过一个数值示例来说明所提出的稳健设计所带来的好处。
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引用次数: 0
Invariant properties of linear-iterative distributed averaging algorithms and application to error detection 线性迭代分布式平均算法的不变特性及其在误差检测中的应用
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101035
Christoforos N. Hadjicostis , Alejandro D. Domínguez-García
We consider the problem of average consensus in a distributed system comprising a set of nodes that can exchange information among themselves. We focus on a class of algorithms for solving such a problem whereby each node maintains a state and updates it iteratively as a linear combination of the states maintained by its in-neighbors, i.e., nodes from which it receives information directly. Averaging algorithms within this class can be thought of as discrete-time linear time-varying systems without external driving inputs and whose state matrix is column stochastic. As a result, the algorithms exhibit a global invariance property in that the sum of the state variables remains constant at all times. In this paper, we report on another invariance property for the aforementioned class of averaging algorithms. This property is local to each node and reflects the conservation of certain quantities capturing an aggregate of all the values received by a node from its in-neighbors and all the values sent by said node to its out-neighbors (i.e., nodes to which it sends information directly) throughout the execution of the averaging algorithm. We show how this newly-discovered invariant can be leveraged for detecting errors while executing the averaging algorithm.
我们考虑的是由一组可以相互交换信息的节点组成的分布式系统中的平均共识问题。我们将重点放在一类解决此类问题的算法上,在这类算法中,每个节点都保持一个状态,并将其更新为其邻近节点(即直接从其接收信息的节点)所保持状态的线性组合。这类算法中的平均算法可以看作是离散时间线性时变系统,没有外部驱动输入,其状态矩阵是列随机的。因此,这些算法具有全局不变性,即状态变量之和在任何时候都保持不变。在本文中,我们将报告上述平均算法的另一个不变性。这一特性是每个节点的局部特性,它反映了某些量的守恒性,即在平均算法的整个执行过程中,一个节点从其内邻节点接收到的所有值的总和,以及该节点向其外邻节点(即它直接向其发送信息的节点)发送的所有值的总和。我们将展示如何在执行平均算法时利用这一新发现的不变量来检测错误。
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引用次数: 0
On the kite-platform interactions in offshore Airborne Wind Energy Systems: Frequency analysis and control approach 海上机载风能系统中风筝与平台的相互作用:频率分析和控制方法
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101065
Sofia Trombini , Edoardo Pasta , Lorenzo Fagiano
This study investigates deep offshore, pumping Airborne Wind Energy systems, focusing on the kite-platform interaction. The considered system includes a 360 m2 soft-wing kite, connected by a tether to a winch installed on a 10-meter-deep spar with four mooring lines. Wind power is converted into electricity with a feedback controlled periodic trajectory of the kite and corresponding reeling motion of the tether. An analysis of the mutual influence between the platform and the kite dynamics, with different wave regimes, reveals a rather small sensitivity of the flight pattern to the platform oscillations; on the other hand, the frequency of tether force oscillations can be close to the platform resonance peaks, resulting in possible increased fatigue loads and damage of the floating and submerged components. A control design procedure is then proposed to avoid this problem, acting on the kite path planner. Simulation results confirm the effectiveness of the approach.
本研究调查了深海抽水机载风能系统,重点是风筝与平台的相互作用。所考虑的系统包括一个 360 米长的软翼风筝,通过系绳与安装在 10 米深带四根系泊线的支柱上的绞盘相连。通过风筝的周期性轨迹和系绳的相应卷绕运动的反馈控制,将风能转化为电能。通过分析平台和风筝动力学之间的相互影响,以及不同的波浪机制,可以发现飞行模式对平台振荡的敏感性很小;另一方面,系绳力振荡的频率可能接近平台共振峰值,从而可能增加疲劳载荷并损坏浮动和浸没部件。为避免这一问题,提出了一种控制设计程序,作用于风筝路径规划器。模拟结果证实了该方法的有效性。
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引用次数: 0
Safe platooning and merging control using constructive barrier feedback 利用建设性障碍物反馈进行安全排线和并线控制
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101060
Xiao Chen, Zhiqi Tang, Karl H. Johansson, Jonas Mårtensson
This paper proposes a novel formation control design for safe platooning and merging of a group of vehicles in multi-lane road scenarios. Provided a leader vehicle is independently controlled, the objective is controlling the follower vehicles to drive in the desired lane with a constant desired distance behind the neighboring (preceding) vehicle while preventing collisions with both the neighboring vehicle and the road’s edges. Inspired by the recent concept of constructive barrier feedback, the proposed controller for each follower vehicle is composed of two parts: one is the nominal controller that ensures its tracking of the neighboring vehicle; another is for collision avoidance by using divergent flow as a dissipative term, which slows down the relative velocity in the direction of the neighboring vehicle and road edges without compromising the nominal controller’s performance. The key contribution of this work is that the proposed control method ensures collision-free platooning and merging control in multi-lane road scenarios with computational efficiency and systematic stability analysis. Simulation results are provided to demonstrate the effectiveness of the proposed algorithms.
本文提出了一种新颖的编队控制设计,用于在多车道道路场景中对一组车辆进行安全排查和合并。在对领头车辆进行独立控制的前提下,目标是控制跟随车辆在所需车道上行驶,与相邻(前方)车辆保持一定距离,同时防止与相邻车辆和道路边缘发生碰撞。受最近提出的建设性障碍反馈概念的启发,为每辆跟车提出的控制器由两部分组成:一部分是标称控制器,确保其跟踪邻近车辆;另一部分是用于避免碰撞的发散流耗散项,在不影响标称控制器性能的情况下,减缓邻近车辆和道路边缘方向的相对速度。这项工作的主要贡献在于,所提出的控制方法通过计算效率和系统稳定性分析,确保了多车道道路场景下的无碰撞排线和并线控制。仿真结果证明了所提算法的有效性。
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引用次数: 0
Stability of regional traffic networks employing maximum throughput demand management 采用最大吞吐量需求管理的区域交通网络的稳定性
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101061
Michalis Ramp , Andreas Kasis , Charalambos Menelaou , Stelios Timotheou
This paper considers the stability and optimality properties of traffic demand management schemes, motivated by the integration of smart monitoring and control technologies in traffic networks. First, a suitable optimization problem is formulated that aims to obtain demand input values that maximize the throughput within traffic networks adhering to regional traffic dynamics with triangular macroscopic fundamental diagrams. We show that optimal solutions to this problem may lead to unstable behaviour, revealing a trade-off between stability and optimality. To address this issue, we analytically study the stability properties of traffic networks at the presence of constant demand input and provide suitable local conditions that guarantee stability when the system’s equilibrium densities are strictly within the free-flow region, but not at the critical density. The latter case is significant, since the maximum throughput behaviour coincides in many cases with the local critical density. We resolve this by proposing a decentralized proportional demand control scheme and suitable local design conditions such that stability is guaranteed. Our analytic results are validated with numerical simulations in a 3-region system that demonstrate the effectiveness and practicality of the proposed approach.
本文探讨了交通需求管理方案的稳定性和最优性,其动机是在交通网络中集成智能监控技术。首先,本文提出了一个合适的优化问题,旨在获得需求输入值,使交通网络中的吞吐量最大化,该网络遵循具有三角形宏观基本图的区域交通动态。我们发现,该问题的最优解可能会导致不稳定的行为,从而揭示了稳定性和最优性之间的权衡。为了解决这个问题,我们分析研究了存在恒定需求输入时交通网络的稳定性,并提供了合适的局部条件,以保证系统的均衡密度严格处于自由流动区域内时的稳定性,而不是处于临界密度时的稳定性。后一种情况非常重要,因为在许多情况下,最大吞吐量行为与局部临界密度相吻合。为了解决这个问题,我们提出了一种分散的比例需求控制方案和合适的局部设计条件,从而保证了稳定性。我们在一个 3 区域系统中进行了数值模拟,验证了我们的分析结果,证明了所提方法的有效性和实用性。
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引用次数: 0
Combining learning and control in linear systems 线性系统中的学习与控制相结合
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101043
Andreas A. Malikopoulos
In this paper, we provide a theoretical framework that separates the control and learning tasks in a linear system. This separation allows us to combine offline model-based control with online learning approaches and thus circumvent current challenges in deriving optimal control strategies in applications where a large volume of data is added to the system gradually in real time and not altogether in advance. We provide an analytical example to illustrate the framework.
在本文中,我们提供了一个理论框架,将线性系统中的控制和学习任务分离开来。这种分离使我们能够将基于模型的离线控制与在线学习方法结合起来,从而规避当前在推导最优控制策略方面所面临的挑战,因为在这种应用中,大量数据是实时逐步添加到系统中的,而不是事先完全添加到系统中的。我们提供了一个分析示例来说明该框架。
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引用次数: 0
Robust partial eigenvalue assignment of second order descriptor systems 二阶描述系统的稳健部分特征值赋值
IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101129
Huiqing Xie, Chuandong Liu
Partial eigenvalue assignment problem (PEAP) of second order descriptor systems is investigated by using acceleration–velocity–displacement feedback. First, we derive parametric expressions of the solutions to the PEAP of a second order descriptor system, i.e., giving the expressions of acceleration, velocity and displacement feedback matrices such that the closed-loop system is regular and has the index at most 1, and some eigenvalues of the open-loop system are replaced by the desired ones, and the other eigenpairs of the open-loop system are kept unchanged. Then a numerical method is proposed for robust partial eigenvalue assignment of a second order descriptor system so that the closed-loop system is as robust as possible. Our method avoids to use the unchanged eigenpairs of the open-loop system and it is effective whether the closed-loop system has infinite eigenvalue or not. Numerical experiments are reported to test the efficiency of the proposed method.
通过使用加速度-速度-位移反馈,研究了二阶描述符系统的部分特征值赋值问题(PEAP)。首先,我们推导了二阶描述符系统 PEAP 解的参数表达式,即给出加速度、速度和位移反馈矩阵的表达式,使得闭环系统是正则的且指数最多为 1,开环系统的某些特征值被所需的特征值所替代,而开环系统的其他特征对保持不变。然后,我们提出了一种二阶描述系统鲁棒部分特征值赋值的数值方法,从而使闭环系统尽可能鲁棒。我们的方法避免了使用开环系统的不变特征对,而且无论闭环系统是否具有无限特征值,该方法都是有效的。报告中的数值实验检验了所提方法的效率。
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引用次数: 0
期刊
European Journal of Control
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