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L2-exponential stability and impulsive stabilization of neutral stochastic delay differential equations 中立型随机时滞微分方程的l2 -指数稳定性和脉冲镇定性
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-02-01 Epub Date: 2025-09-26 DOI: 10.1016/j.nahs.2025.101647
Hoang Thi Duyen , Ky Quan Tran
This paper investigates L2-exponential stability – also known as exponential stability in the mean square – of neutral stochastic delay differential equations with impulsive perturbations. Our primary objective is to stabilize an impulsive-free system by appropriately designing impulsive controls. Unlike previous studies, we introduce new and verifiable criteria for L2-exponential stability. We further demonstrate that Euler–Maruyama-type approximations preserve L2-exponential stability provided that the step sizes are sufficiently small; explicit conditions on these step sizes are derived. Moreover, we detail the design of impulsive perturbations that achieve L2-exponential stabilization. Two examples are presented to validate the effectiveness of our criteria.
本文研究了具有脉冲扰动的中立型随机时滞微分方程的l2 -指数稳定性,即均方指数稳定性。我们的主要目标是通过适当设计脉冲控制来稳定无脉冲系统。与以往的研究不同,我们引入了新的可验证的l2指数稳定性准则。我们进一步证明,当步长足够小时,euler - maruyama型近似保持l2指数稳定性;导出了这些步长的显式条件。此外,我们还详细介绍了实现l2指数稳定的脉冲扰动的设计。给出了两个例子来验证我们的标准的有效性。
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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 : 2026-02-01 Epub 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
Separation principle for stochastic control of continuous-time Markov jump linear systems under partial observations 部分观测下连续马尔可夫跳变线性系统随机控制的分离原理
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-02-01 Epub Date: 2025-09-30 DOI: 10.1016/j.nahs.2025.101644
Henk A.P. Blom
In MJLS literature the separation principle between filtering and control has been established in case the Markov mode switching process {θt} is fully observed, and the Euclidean state process {xt}is partially observed. In case the exact {θt}remains hidden, the separation principle has only been established under a linear filtering restriction. Since nonlinear filters can provide significant better estimates, the desire to extend the separation principle to MJLS with hidden {θt}is a long-standing challenge. The objective of this paper is to resolve this long-standing challenge in three steps. The first step is to transform the MJLS stochastic control problem into control under a quadratic performance criterion of a linear system driven by a martingale which is influenced by the control. The certainty equivalence (CE) condition known in literature applies to stochastic control of a linear system that is driven by a control independent martingale. Therefore, the second step is to relax this known CE condition such that it allows this control influence on the martingale. The third step is to prove that the relaxed CE condition is satisfied for the general MJLS control problem considered. The overall achievement is a CE control law for a partially observed MJLS, which assures the Separation Principle between filtering and control. The paper also shows that for the case that {xt}is fully observed and the exact{θt}remains hidden, that the novel CE control law differs significantly from the in literature well-developed Averaging MJLS control policy.
在MJLS文献中,建立了马尔可夫模式切换过程{θt}完全观察到,欧几里德状态过程{xt}部分观察到的情况下滤波与控制的分离原理。如果精确的{θt}仍然隐藏,则分离原理仅在线性滤波限制下建立。由于非线性滤波器可以提供更好的估计,因此将分离原理扩展到隐藏{θt}的MJLS是一个长期存在的挑战。本文的目标是分三步解决这一长期存在的挑战。第一步是将MJLS随机控制问题转化为受控制影响的鞅驱动线性系统的二次性能准则下的控制。文献中已知的确定性等价(CE)条件适用于由控制无关鞅驱动的线性系统的随机控制。因此,第二步是放松这个已知的CE条件这样它就允许这个控制对鞅的影响。第三步是证明所考虑的一般MJLS控制问题满足松弛CE条件。总体成果是对部分可观测MJLS的CE控制律,保证了滤波与控制的分离原则。本文还表明,在{xt}被完全观察到而{θt}仍然隐藏的情况下,新的CE控制律与文献中发达的平均MJLS控制策略有明显的不同。
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引用次数: 0
An event-triggered robust sampled tracking controller for communication-state-input constrained perturbed unicycle mobile robots 通信状态-输入约束摄动独轮车移动机器人的事件触发鲁棒采样跟踪控制器
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-02-01 Epub Date: 2025-11-07 DOI: 10.1016/j.nahs.2025.101657
Ariana Gutiérrez , Héctor Ríos , Manuel Mera , Denis Efimov , Rosane Ushirobira
This paper presents a robust sampled controller design for trajectory tracking in unicycle mobile robots subject to state, input, and communication constraints, as well as external disturbances such as wheel slipping. The proposed approach integrates two control strategies: an aperiodic control law based on an event-triggered mechanism and a periodic control law using a constant sampled state-feedback controller. The event-triggered control employs the attractive ellipsoid method and the barrier Lyapunov function to ensure performance within a defined safe set, where state constraints are preserved, and a switching set determines the active control strategy. The periodic sampled control considers the maximum sampling time required to achieve trajectory tracking while minimizing bandwidth usage. This strategy guarantees input-to-state stability of the tracking error dynamics against multiplicative external disturbances. Additionally, a straightforward method using linear matrix inequalities is provided to compute the controller gains. Experimental results validate the effectiveness of the proposed robust control approach.
本文提出了一种鲁棒采样控制器设计,用于单轮移动机器人在状态、输入和通信约束以及车轮打滑等外部干扰下的轨迹跟踪。该方法集成了两种控制策略:基于事件触发机制的非周期控制律和使用恒定采样状态反馈控制器的周期控制律。事件触发控制采用吸引椭球方法和屏障Lyapunov函数来确保在定义的安全集合内的性能,其中状态约束被保留,并且切换集确定主动控制策略。周期采样控制考虑实现轨迹跟踪所需的最大采样时间,同时最小化带宽使用。该策略保证了跟踪误差动态对倍增性外部干扰的输入到状态稳定性。此外,还提供了一种使用线性矩阵不等式计算控制器增益的简单方法。实验结果验证了所提鲁棒控制方法的有效性。
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引用次数: 0
Constant reference tracking control for uncertain linear sampled-data systems 不确定线性采样数据系统的常参考跟踪控制
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-02-01 Epub Date: 2025-10-11 DOI: 10.1016/j.nahs.2025.101651
Roberto M. Fuentes , Gabriela W. Gabriel , André M. de Oliveira , Jonathan M. Palma
This paper studies the reference-tracking control problem for uncertain sampled-data systems with partial observation of the states. We show that, by robustly stabilizing the closed-loop system, the proposed digital controller ensures that the controlled output tracks constant set points. Moreover, new design conditions given in terms of Differential Linear Matrix Inequalities are presented for obtaining controllers with partial and complete measurements of the states. The design conditions are illustrated by numerical examples.
研究具有部分状态观测的不确定采样数据系统的参考跟踪控制问题。结果表明,通过鲁棒稳定闭环系统,所提出的数字控制器确保被控输出跟踪恒定设定点。此外,给出了用微分线性矩阵不等式给出的新的设计条件,用于获得具有部分和完全状态测量的控制器。通过数值算例说明了设计条件。
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引用次数: 0
Exponential stability analysis of discrete-time almost periodic piecewise nonlinear systems 离散时间概周期分段非线性系统的指数稳定性分析
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-02-01 Epub Date: 2025-09-18 DOI: 10.1016/j.nahs.2025.101642
Xiaoyun Wei , Xingwen Liu , Jun Yang , Tingjin Liu
This paper focuses on exponential stability analysis for discrete-time almost periodic piecewise nonlinear systems (APPNSs) with uncertain dwell time of subsystems. A discrete-time APPNS has a fundamental period, during which a finite number of subsystems that constitute the system are cyclically activated. Such systems can be modeled as switched systems with cyclically switching signals. With the assumption that the vector field of each subsystem of discrete-time APPNSs is continuously differentiable, a Lyapunov theorem is presented first to verify the exponential stability of discrete-time APPNSs. Then, a linearization method is employed and a mixed-mode time-varying homogeneous Lyapunov function is constructed to derive specific stability conditions expressed by linear matrix inequalities (LMIs). Note that this condition can verify the exponential stability of the considered nonlinear systems, as well as that of the corresponding linearized systems. Furthermore, the linearization method used here can be applied to general switched systems.
研究了具有不确定停留时间的离散几乎周期分段非线性系统的指数稳定性分析。离散时间APPNS有一个基本周期,在此期间,构成系统的有限数量的子系统被循环激活。这样的系统可以被建模为具有循环开关信号的开关系统。在假定离散时间APPNSs各子系统的向量场连续可微的前提下,首先利用Lyapunov定理验证了离散时间APPNSs的指数稳定性。然后,采用线性化方法,构造混合模时变齐次Lyapunov函数,导出用线性矩阵不等式(lmi)表示的特定稳定性条件。注意,这个条件可以验证所考虑的非线性系统的指数稳定性,以及相应的线性化系统的指数稳定性。此外,本文所采用的线性化方法也适用于一般的开关系统。
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引用次数: 0
Optimal output regulation of Boolean control networks 布尔控制网络的最优输出调节
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-02-01 Epub Date: 2025-10-17 DOI: 10.1016/j.nahs.2025.101653
Yanan Pan , Shihua Fu , Jianjun Wang , Weihai Zhang
This paper studies the optimal output regulation of Boolean control networks (BCNs), the main objective of which is to design a state feedback control such that the tracking error of each state trajectory in the system is minimized. Firstly, the definition of the solvability for the output regulation within admissible tracking error is given, and some necessary and sufficient conditions to determine the solvability of the output regulation problem within admissible tracking error are obtained. Secondly, the optimal trajectory of each state is provided when the outputs of the BCN cannot completely track the time-varying reference signals, and a control design algorithm that minimizes the tracking error of the system is introduced. Finally, two examples are given to verify the validity of our new findings.
本文研究了布尔控制网络的最优输出调节,其主要目标是设计一种状态反馈控制,使系统中每个状态轨迹的跟踪误差最小。首先,给出了在允许跟踪误差范围内输出调节问题可解性的定义,得到了确定在允许跟踪误差范围内输出调节问题可解性的充分必要条件;其次,给出了BCN输出不能完全跟踪时变参考信号时各状态的最优轨迹,并引入了一种使系统跟踪误差最小化的控制设计算法;最后,给出了两个例子来验证我们新发现的有效性。
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引用次数: 0
On L1 and time-optimal state transitions in piecewise linear models of gene-regulatory networks 基因调控网络分段线性模型中的L1和时间最优状态转移
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-02-01 Epub Date: 2025-10-16 DOI: 10.1016/j.nahs.2025.101650
Agustín G. Yabo , Nicolas Augier
In this paper, we investigate optimal state transfers for a generic class of piecewise-linear models widely used to qualitatively describe gene-regulatory networks. Motivated by the main practical drawbacks of artificially regulating gene expression through chemical inducers, the optimality of the transitions is defined as the convex combination of the total time and the L1 cost of the control. Solutions are studied through a Hybrid Pontryagin’s Maximum Principle approach, which allows to characterize the optimal trajectories and control for the general formulation of the problem. Then, we focus on two practical examples of two-dimensional regulatory networks: the bistable switch, for which the objective is to induce optimal transitions between its two stable steady states, and the damped genetic oscillator, where the goal is to induce sustained oscillatory behaviors. The resulting optimal control strategies can be expressed in state feedback form, involving both bang arcs and inactive control periods, and are shown to slide over certain separatrices of the uncontrolled system that characterize the boundaries of the admissibility set.
在本文中,我们研究了一类广泛用于定性描述基因调控网络的分段线性模型的最优状态转移。由于通过化学诱导剂人工调节基因表达的主要实际缺陷,过渡的最优性被定义为总时间和控制的L1成本的凸组合。通过混合庞特里亚金最大原理方法研究了解决方案,该方法允许表征问题的一般公式的最优轨迹和控制。然后,我们重点讨论了二维调节网络的两个实际例子:双稳态开关,其目标是诱导其两个稳定稳态之间的最佳转换,以及阻尼遗传振荡器,其目标是诱导持续振荡行为。所得到的最优控制策略可以以状态反馈形式表示,包括爆炸弧和非活动控制周期,并显示出在表征可容许集边界的非受控系统的某些分离上滑动。
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引用次数: 0
Recurrence of nonlinear control systems: Entropy, bit rates, and finite alphabet controllers 非线性控制系统的递归:熵、比特率和有限字母控制器
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-02-01 Epub Date: 2025-10-16 DOI: 10.1016/j.nahs.2025.101649
Hussein Sibai , Enrique Mallada
In this paper, we introduce the notion of recurrence entropy in the context of nonlinear control systems. A set is said to be (τ-)recurrent if every trajectory that starts in the set returns to it (within at most τ units of time). The recurrence entropy of a control system quantifies the complexity of making a set τ-recurrent measured by the average rate of growth, as time increases, of the number of control signals required to achieve this goal. Our analysis reveals that, compared to invariance, recurrence is quantitatively less complex, meaning that the recurrence entropy of a set is no larger than, and often strictly smaller than, the invariance entropy. We provide upper and lower bounds on recurrence entropy and show that they converge to the bounds on invariance entropy as τ decreases to zero. Further, our results show that recurrence entropy lower bounds the minimum data rate between the sensor and controller required for achieving recurrence. We present an algorithm according to which the sensor can send state estimates to the controller over a limited-bandwidth channel to achieve recurrence asymptotically at an exponential rate. Finally, we show that, under mild stricter conditions on the set and dynamics, the control signals that enforce the τ-recurrence of a set can be generated by a finite alphabet of control signals of durations of at most τ units of time, which allows us to store them for quick online execution.
本文在非线性控制系统中引入了递归熵的概念。如果在集合中开始的每个轨迹都返回到它(最多在τ单位时间内),则称一个集合是(τ-)循环的。控制系统的递归熵量化了使一组τ-递归的复杂性,该复杂度由达到该目标所需的控制信号数量随时间增加的平均增长率来衡量。我们的分析表明,与不变性相比,递归在数量上不那么复杂,这意味着一个集合的递归熵不大于,而且通常严格小于不变性熵。我们提供了递归熵的上界和下界,并表明当τ减小到零时,它们收敛于不变性熵的上界和下界。此外,我们的结果表明,递归熵的下限是实现递归所需的传感器和控制器之间的最小数据速率。我们提出了一种算法,根据该算法,传感器可以在有限带宽信道上向控制器发送状态估计,以指数速率渐近地实现递归。最后,我们证明,在较严格的集合和动力学条件下,强制集合τ-递推的控制信号可以由持续时间最多为τ单位时间的有限控制信号字母表生成,这使我们能够将它们存储起来以便快速在线执行。
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引用次数: 0
Explicit criteria for recurrence of Markovian regime-switching diffusion processes under arbitrary switching rates 任意切换速率下马尔可夫状态切换扩散过程递归的显式判据
IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2026-02-01 Epub Date: 2025-10-24 DOI: 10.1016/j.nahs.2025.101655
Jianrui Li, Jinghai Shao
The recurrent property of diffusion processes with regime-switching is quite complicated, which could be transient even when it is recurrent at every fixed environment. This work provides explicit criteria in terms of the coefficients of diffusion processes such that the studied processes are recurrent or transient under arbitrary switching rates. The obtained criteria are in the integral form, which are particularly effective for the regime-switching processes with coefficients vibrating periodically. Examples are constructed to illustrate the applications of these criteria.
具有状态切换的扩散过程的循环特性非常复杂,即使在每个固定环境下都是循环的,也可能是暂态的。这项工作为扩散过程的系数提供了明确的标准,使得所研究的过程在任意开关速率下是循环的或瞬态的。所得到的判据是积分形式的,对系数周期性振动的状态切换过程特别有效。本文构造了一些例子来说明这些标准的应用。
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引用次数: 0
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Nonlinear Analysis-Hybrid Systems
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