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Conical transition graphs for analysis of asymptotic stability in hybrid dynamical systems 混合动力系统渐近稳定性分析的锥形过渡图
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-01-02 DOI: 10.1016/j.nahs.2025.101660
Paul K. Wintz , Ricardo G. Sanfelice
A method is proposed for analyzing asymptotic stability in conical hybrid systems with modes. A conical hybrid system is a hybrid system where the state is mapped linearly at jumps and flows according to a constant or linear flow maps during flows, and where the flow and jump sets are conical. Specifically, this paper introduces the conical transition graph (CTG) to simplify the analysis of asymptotic stability in conical approximations by converting solutions to a hybrid system into walks through a discrete graph. By exploiting the fact that pre-asymptotic stability in a conical approximation implies pre-asymptotic stability in the original system, a CTG-based approach can establish asymptotic stability in hybrid systems that have nonlinear flow maps and jump maps without needing to construct a Lyapunov function. Discussion of how to reduce the size of the CTG allow for applying CTG analysis to systems where the CTG would have infinitely many vertices.
提出了一种分析带模态圆锥混合系统渐近稳定性的方法。锥型混合系统是一种状态在跳跃和流动时根据一个常数或线性流图进行线性映射的混合系统,其中流集和跳跃集是锥形的。具体地说,本文引入了锥形过渡图(CTG),将混合系统的解转化为离散图的遍历,从而简化了圆锥逼近的渐近稳定性分析。利用圆锥近似的预渐近稳定性意味着原系统的预渐近稳定性这一事实,基于ctg的方法可以在不需要构造Lyapunov函数的情况下建立具有非线性流映射和跳映射的混合系统的渐近稳定性。关于如何减小CTG大小的讨论允许将CTG分析应用于CTG具有无限多个顶点的系统。
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引用次数: 0
A conditional mean-field type stochastic differential game of hybrid switching diffusions systems with delay and its applications 具有时滞的混合开关扩散系统的条件平均场型随机微分对策及其应用
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-12-29 DOI: 10.1016/j.nahs.2025.101673
Zhongbin Guo , Qingshuo Song , Guangchen Wang
This paper focuses on a conditional mean-field type game of hybrid switching diffusions systems with delay where both the state dynamics and costs are dependent on the conditional expectations of state given switching process. Firstly, we prove that a nonlinear conditional mean-field anticipated backward stochastic differential equation with regime switching admits a unique solution under mild conditions, which is necessary to guarantee the well-posedness of adjoint equations that arise in the optimality condition for Nash equilibrium point. Then, using established results on conditional mean-field anticipated backward stochastic differential equation, we develop a Pontryagin type maximum principle that provides necessary condition for open-loop Nash equilibrium points. Additionally, we establish two verification theorems under different assumptions, which provide sufficient conditions for Nash equilibrium points. Finally, we present three financial applications. Employing the theoretical results derived, we obtain explicit solutions of all the financial applications and provide some numerical examples with sound economic interpretations for demonstration.
研究一类具有时滞的混合交换扩散系统的条件平均场型对策,其中状态动力学和代价都依赖于给定交换过程的条件期望。首先,我们证明了一类具有状态切换的非线性条件平均场预期后向随机微分方程在温和条件下存在唯一解,这是保证纳什平衡点最优性条件下伴随方程的适定性所必需的。然后,利用已建立的条件平均场预期倒向随机微分方程的结果,导出了一个为开环纳什平衡点提供必要条件的Pontryagin型极大值原理。另外,在不同的假设条件下,我们建立了两个验证定理,为纳什平衡点的存在提供了充分条件。最后,我们提出了三个金融应用。利用所得到的理论结果,我们得到了所有金融应用的显式解,并提供了一些具有良好经济解释的数值例子进行论证。
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引用次数: 0
Preconditioned primal-dual dynamics in convex optimization: Non-ergodic convergence rates 凸优化中的预条件原对偶动力学:非遍历收敛率
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-12-23 DOI: 10.1016/j.nahs.2025.101674
Vassilis Apidopoulos , Cesare Molinari , Juan Peypouquet , Silvia Villa
We introduce and analyze a continuous primal–dual dynamical system in the context of the minimization problem f(x)+g(Ax), where f and g are convex functions and A is a linear operator. In this setting, the trajectories of the Arrow–Hurwicz continuous flow may not converge, accumulating at points that are not solutions. Our proposal is inspired by the primal–dual algorithm by Chambolle and Pock (2011), where convergence and splitting on the primal–dual variables are ensured by adequately preconditioning the proximal-point algorithm. We consider a family of preconditioners, which are allowed to depend on time and on the operator A, but not on the functions f and g, and analyze asymptotic properties of the corresponding preconditioned flow. Fast convergence rates for the primal–dual gap and optimality of its (weak) limit points are obtained, in the general case, for asymptotically antisymmetric preconditioners, and, in the case of linearly constrained optimization problems, under milder hypotheses. Numerical examples support our theoretical findings, especially in favor of the antisymmetric preconditioners.
在最小化问题f(x)+g(Ax)的背景下,我们引入并分析了一个连续的原对偶动力系统,其中f和g是凸函数,a是线性算子。在这种情况下,Arrow-Hurwicz连续流的轨迹可能不会收敛,而是在非解点处积累。我们的建议受到Chambolle和Pock(2011)的原始对偶算法的启发,其中通过充分预处理近点算法来确保原始对偶变量的收敛和分裂。考虑一类允许依赖于时间和算子a,但不依赖于函数f和g的预条件流,并分析了相应预条件流的渐近性质。在一般情况下,对于渐近反对称预条件,得到了原对偶间隙的快速收敛速率及其(弱)极限点的最优性,并且在较温和的假设下,得到了线性约束优化问题的最优性。数值例子支持我们的理论发现,特别是支持反对称前置条件。
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引用次数: 0
A new framework for bounding reachability probabilities of continuous-time stochastic systems 连续时间随机系统边界可达概率的新框架
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-12-14 DOI: 10.1016/j.nahs.2025.101670
Bai Xue
This manuscript presents an innovative framework for constructing barrier functions to bound reachability probabilities for continuous-time stochastic systems described by stochastic differential equations (SDEs). The reachability probabilities considered in this paper encompass two aspects: the probability of reaching a set of specified states within a predefined finite time horizon, and the probability of reaching a set of specified states at a particular time instant. The barrier functions presented in this manuscript are developed either by relaxing a parabolic partial differential equation that characterizes the exact reachability probability or by applying the Grönwall’s inequality. In comparison to the prevailing construction method, which relies on Doob’s non-negative supermartingale inequality (or Ville’s inequality), the proposed barrier functions provide stronger alternatives, complement existing methods, or fill gaps.
本文提出了用随机微分方程(SDEs)描述的连续时间随机系统的可达性概率的障碍函数的构造框架。本文所考虑的可达概率包括两个方面:在预定义的有限时间范围内达到一组指定状态的概率,以及在特定时间瞬间达到一组指定状态的概率。本文中提出的势垒函数是通过放松一个抛物线偏微分方程来描述精确可达性概率或通过应用Grönwall不等式来开发的。与依赖于Doob非负上鞅不等式(或Ville不等式)的主流构造方法相比,所提出的障碍函数提供了更强的替代方案,补充了现有方法,或填补了空白。
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引用次数: 0
Asymptotic behavior of solutions to stochastic differential equations driven by tempered fractional Brownian motion with Markovian switching 带马尔可夫切换的回火分数阶布朗运动随机微分方程解的渐近行为
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-12-10 DOI: 10.1016/j.nahs.2025.101669
Zhi Li , Yulin Du , Meiqian Liu , Liping Xu , Litan Yan
In this paper, we investigate a class of stochastic differential equations with Markovian switching driven by tempered fractional Brownian motion. First, we develop some generalized Itô formula and capture some sufficient conditions to guarantee the solutions to be stable in several different senses in terms of Lyapunov functions. Subsequently, by using the generalized Itô formula and stopping time techniques, we obtain some sufficient conditions ensuring the non-confluence property for the considered equations. Additionally, we present two important corollaries on the non-confluence property by the Poisson equation and M-matrix, respectively, which can verify the non-confluence property more effectively than the general condition. Finally, we provide an example to illustrate the practical usefulness of our theoretical results.
本文研究了一类由回火分数阶布朗运动驱动的马尔可夫变换随机微分方程。首先,我们建立了一些广义Itô公式,并获得了保证解在几种不同意义上稳定的充分条件。随后,利用广义Itô公式和停止时间技术,得到了保证所考虑方程不合流性的几个充分条件。另外,我们分别用泊松方程和m -矩阵给出了非合流性的两个重要推论,这两个推论比一般条件更有效地验证了非合流性。最后,我们提供了一个例子来说明我们的理论结果的实际用途。
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引用次数: 0
Passivity-based trajectory tracking control in frictional oscillators with set-valued friction 集值摩擦振荡器的无源轨迹跟踪控制
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-12-08 DOI: 10.1016/j.nahs.2025.101672
Aya Younes, Félix Miranda-Villatoro, Bernard Brogliato
This article is largely concerned with the trajectory tracking control of frictional oscillators, which are nonsmooth nonlinear dynamical systems. The trajectory tracking problem, which is studied under a passivity-based controller addresses three main cases: the nominal case with known friction coefficient, uncertain friction coefficient, and when the Coulomb friction model is enhanced by including Stribeck effects. Monotonicity (or hypomonotonicity) of the friction model is crucial for the stability analysis of the tracking error. It can be relaxed to hypomonotonicity to handle Stribeck model. The framework of linear complementarity systems is used for the analysis. The case of a two-mass system is tackled as an extension of the standard one-mass oscillator. Theoretical results are supported by numerical simulations.
摩擦振子是非光滑非线性动力系统,本文主要研究摩擦振子的轨迹跟踪控制。在无源控制器下研究的轨迹跟踪问题主要涉及三种情况:已知摩擦系数的名义情况、不确定摩擦系数的情况,以及加入Stribeck效应增强库仑摩擦模型的情况。摩擦模型的单调性(或次单调性)对跟踪误差的稳定性分析至关重要。对Stribeck模型的处理可以简化为次单调性。采用线性互补系统的框架进行分析。双质量系统的情况是作为标准单质量振荡器的扩展来处理的。理论结果得到了数值模拟的支持。
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引用次数: 0
Weak convergence and diffusion approximation of singularly perturbed stochastic differential equation with state-dependent switching 状态相关切换奇摄动随机微分方程的弱收敛和扩散逼近
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-12-07 DOI: 10.1016/j.nahs.2025.101671
Wenjie Cao , Fuke Wu
This paper focuses on the averaging principle for a class of singularly perturbed stochastic systems, in which the slow process is a diffusion process, and fast process is a purely jumping process in an infinitely countable state space and its transition probability depends on the slow component. By using the solution of the Poisson equation as a corrector and the martingale method, the diffusion approximation of this singularly perturbed stochastic system is established.
本文研究了一类奇摄动随机系统的平均原理,其中慢过程是扩散过程,快过程是无限可数状态空间中的纯跳跃过程,其转移概率取决于慢分量。利用泊松方程的解作校正,利用鞅方法,建立了奇异摄动随机系统的扩散近似。
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引用次数: 0
Funnel-based output tracking control for nonlinear impulsive switched systems 非线性脉冲切换系统的漏斗输出跟踪控制
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-12-01 DOI: 10.1016/j.nahs.2025.101661
Atiyeh Karimi Pour , Stephan Trenn , Moosa Ayati , Mohammad Reza Zakerzadeh
We study output tracking for nonlinear impulsive switched systems with global relative degree one under prescribed performance requirements. Classical funnel control is not directly applicable in this setting, since output jumps can cause violations of funnel constraints. To address this, we design an adjusted funnel boundary that contracts prior to jumps and expands afterward, computed offline based on the stability of the internal dynamics and bounded jump maps. We also derive sufficient conditions ensuring bounded control input. To obtain tighter bounds, practical ISS is employed in place of BIBO stability, yielding smaller input requirements. Additional refinements include asymmetric jump bounds, level-set adjustments, and real-time funnel adaptation, which further improve performance. Numerical examples confirm stability and practical tracking under disturbance impulses and switching.
在规定的性能要求下,研究全局相对度为1的非线性脉冲切换系统的输出跟踪问题。经典的漏斗控制不能直接适用于这种情况,因为输出跳跃可能导致违反漏斗约束。为了解决这个问题,我们设计了一个可调整的漏斗边界,该边界在跳跃之前收缩,之后扩展,基于内部动力学和有界跳跃图的稳定性离线计算。并给出了保证有界控制输入的充分条件。为了获得更严格的边界,采用实际的ISS代替BIBO稳定性,产生更小的输入要求。其他改进包括不对称跳跃边界、水平集调整和实时漏斗适应,这些改进进一步提高了性能。数值算例验证了该方法在干扰脉冲和切换下的稳定性和实际跟踪效果。
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引用次数: 0
Consensus over clustered networks using intermittent and asynchronous output feedback 使用间歇和异步输出反馈的集群网络共识
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-11-26 DOI: 10.1016/j.nahs.2025.101656
Federico M. Zegers , Sean Phillips
Distributed consensus protocols provide a mechanism for spreading information within clustered networks, allowing agents and clusters to make decisions without requiring direct access to the state of the ensemble. In this work, we propose a strategy for achieving system-wide consensus in the states of identical linear time-invariant systems coupled by an undirected graph whose directed sub-graphs are available only at sporadic times. Within this work, the agents of the network are organized into pairwise disjoint clusters, which induce sub-graphs of the undirected parent graph. Some cluster sub-graph pairs are linked by an inter-cluster sub-graph, where the union of all cluster and inter-cluster sub-graphs yields the undirected parent graph. Each agent utilizes a distributed consensus protocol with components that are updated intermittently and asynchronously with respect to other agents and inter-clusters. The closed-loop ensemble dynamics is modeled as a hybrid system, and a Lyapunov-based stability analysis yields sufficient conditions for rendering the agreement subspace (consensus set) globally exponentially stable. Furthermore, an input-to-state stability argument demonstrates the consensus set is robust to a large class of perturbations. A numerical simulation considering both nominal and perturbed scenarios is provided for validation purposes.
分布式共识协议提供了一种在集群网络中传播信息的机制,允许代理和集群在不需要直接访问集成状态的情况下做出决策。在这项工作中,我们提出了一种策略,用于在由无向图耦合的相同线性定常系统的状态下实现系统范围的一致性,该无向图的有向子图仅在零星时间可用。在这项工作中,网络的代理被组织成成对不相交的聚类,这些聚类诱导出无向父图的子图。一些簇子图对由簇间子图连接,其中所有簇和簇间子图的并集产生无向父图。每个代理都使用分布式共识协议,其中的组件相对于其他代理和集群间间歇性和异步更新。将闭环系综动力学建模为一个混合系统,并通过基于lyapunov的稳定性分析,给出了一致性子空间(共识集)全局指数稳定的充分条件。此外,输入到状态的稳定性论证证明了共识集对一类大的扰动具有鲁棒性。为了验证目的,提供了考虑名义和扰动情景的数值模拟。
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引用次数: 0
Data-driven asynchronous robust stabilization of switched linear systems with disturbances 具有扰动的切换线性系统的数据驱动异步鲁棒镇定
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-11-14 DOI: 10.1016/j.nahs.2025.101658
Mengqian Liang, Dan Ma, Jiaming Lu
This paper investigates the asynchronous data-driven control synthesis problem for continuous- and discrete-time switched linear systems, where exogenous disturbances and asynchronous behavior introduce significant challenges to control design. First, inspired by online data-driven techniques, a novel data representation of the systems is proposed under controller–subsystem asynchrony. Second, the data-dependent Lyapunov function combined with the merging average dwell time switching signal is constructed to establish sufficient conditions on robust practical exponential stabilization of the asynchronous switched control systems with disturbances. Furthermore, exponential stabilization is rigorously guaranteed in the disturbance-free case. Compared with the existing data-driven results, this paper eliminates the reliance on persistent excitation constraints, thereby substantially mitigating the conservatism in the robust stabilization criteria. Lastly, two numerical simulations are employed to verify the effectiveness of the proposed method.
本文研究了连续时间和离散时间切换线性系统的异步数据驱动控制综合问题,其中外源干扰和异步行为给控制设计带来了重大挑战。首先,受在线数据驱动技术的启发,提出了一种新的控制器-子系统异步下的系统数据表示方法。其次,构造与数据相关的Lyapunov函数与合并平均停留时间切换信号相结合,建立了具有扰动的异步切换控制系统鲁棒实际指数镇定的充分条件。此外,在无扰动情况下,指数稳定性得到了严格保证。与现有的数据驱动结果相比,本文消除了对持久激励约束的依赖,从而大大减轻了鲁棒镇定准则的保守性。最后,通过两个数值仿真验证了所提方法的有效性。
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引用次数: 0
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Nonlinear Analysis-Hybrid Systems
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