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Optimal Competitive Strategies: Pricing and Advertising in Dynamic Market Segments 最优竞争策略:动态细分市场中的定价与广告
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-10-17 DOI: 10.1109/LCSYS.2025.3622665
Mingda Yue;Shuting Le;Yuhu Wu;Xun Shen
This letter investigates a duopolistic market where firms compete through both pricing and advertising strategies. Due to customer attrition and the effects of advertising, each firm’s loyal customer segment evolves dynamically. This leads to a dynamic market segment competition in which firms aim to maximize profits through optimal strategies. Our analysis of the one-stage game reveals at most two Nash equilibria. Notably, even with symmetric initial positions, firms adopt asymmetric strategies in equilibrium: one employs greater advertising intensity and higher pricing to secure more profits. In the two-stage game, our analysis shows that firms optimally increase first-stage advertising to sustain larger loyal segments, thereby boosting subsequent profits. These findings have important implications for multi-stage competition.
这封信调查了一个双寡头市场,公司通过定价和广告策略进行竞争。由于顾客流失和广告的影响,每个公司的忠实顾客群体是动态发展的。这导致了动态的细分市场竞争,企业的目标是通过最优策略实现利润最大化。我们对单阶段博弈的分析揭示了最多两个纳什均衡。值得注意的是,即使初始位置是对称的,企业在均衡状态下也会采用不对称策略:一个企业采用更大的广告强度和更高的定价来获得更多的利润。在两阶段博弈中,我们的分析表明,企业最优地增加第一阶段的广告,以维持更大的忠诚群体,从而提高后续的利润。这些发现对多阶段竞争具有重要意义。
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引用次数: 0
Efficient Streaming Dynamic Mode Decomposition 高效流动态模式分解
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-10-15 DOI: 10.1109/LCSYS.2025.3622516
Aditya Kale;Marcos Netto;Xinyang Zhou
We propose a reformulation of the streaming dynamic mode decomposition method that requires maintaining a single orthonormal basis, thereby reducing computational redundancy. The proposed efficient streaming dynamic mode decomposition method results in a constant-factor reduction in computational complexity and memory storage requirements. Numerical experiments on representative canonical dynamical systems show that the enhanced computational efficiency does not compromise the accuracy of the proposed method.
我们提出了一种流动态模式分解方法的重新表述,该方法需要保持单个标准正交基,从而减少了计算冗余。所提出的高效流动态模式分解方法在计算复杂度和内存存储需求上有恒定的降低。对典型动力系统的数值实验表明,计算效率的提高并不影响该方法的精度。
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引用次数: 0
Stabilization in Distribution of Hybrid Stochastic Delay Systems via Discontinuous Control and Application 基于不连续控制的混合随机时滞系统分布镇定及其应用
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-10-15 DOI: 10.1109/LCSYS.2025.3622078
Gongfei Song;Zirong Yin;Hao Shen;Tao Li
This letter presents a thorough study on stability in distribution(SID) for two distinct classes of nonlinear hybrid stochastic delay systems. To stabilize these inherently unstable systems in distribution, we propose a periodic intermittent feedback controller utilizing discrete-time state observations. By employing M-matrix theory, the It $hat {o}$ formula, and related analytical tools, we demonstrate that the probability measure of the solution to the controlled system converges to a stationary distribution, signifying SID. This establishes the SID of the addressed hybrid stochastic delay systems. Subsequently, the validity of the theoretical findings is confirmed through two numerical simulations and an application to a stochastic delayed SEIR model in epidemiology.
本文对两类不同的非线性混合随机时滞系统的分布稳定性(SID)进行了深入的研究。为了稳定分布中这些固有不稳定的系统,我们提出了一种利用离散时间状态观测的周期性间歇反馈控制器。利用m矩阵理论、It $hat {o}$公式和相关的分析工具,证明了被控系统解的概率测度收敛于平稳分布,表示SID。建立了寻址混合随机时滞系统的SID。随后,通过两个数值模拟和一个流行病学随机延迟SEIR模型的应用,验证了理论结果的有效性。
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引用次数: 0
Novel Necessary and Sufficient Delay-Independent Conditions for Stability of Fractional-Order Time-Delay Systems 分数阶时滞系统稳定性的新充要条件
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-10-14 DOI: 10.1109/LCSYS.2025.3620881
Qing-Hao Zhang;Xiao-Chuang Jin;Jun-Guo Lu;Zhen Zhu
In this letter, firstly a necessary and sufficient condition for delay independent stability of fractional-order systems with delays is presented. It is essentially based on the continuity of the characteristic roots. Then, by the generalized Kalman–Yakubovic–Popov lemma, the proposed condition is transformed into linear matrix inequalities without additional conservatism. Compared with the existing stability criteria, our results are free of conservatism and computationally efficient. Besides, the derived conditions can be applied to the cases with orders between $text {(}0,2text {)}$ . Finally, numerical examples are presented to validate the proposed conditions.
本文首先给出了具有时滞的分数阶系统的时滞无关稳定性的一个充分必要条件。它本质上是基于特征根的连续性。然后,利用广义Kalman-Yakubovic-Popov引理,将所提条件转化为不附加保守性的线性矩阵不等式。与已有的稳定性判据相比,我们的结果没有保守性,计算效率高。此外,导出的条件可应用于阶数在$text {(}0,2text{)}$之间的情况。最后,通过数值算例验证了所提条件的正确性。
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引用次数: 0
Guest Editorial: Special Section on Safety, Robustness, and Effectiveness in Human–Machine Teaming 嘉宾评论:人机合作的安全性、稳健性和有效性专题
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-10-07 DOI: 10.1109/LCSYS.2025.3614081
Yongcan Cao;Lixian Zhang;Abhinav Sinha;Xiaocong Li;Yanan Li;Jun Ma;Silu Chen;Zhaodan Kong
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引用次数: 0
Robustness Analysis for Quantum Systems Controlled by Continuous-Time Pulses 连续时间脉冲控制量子系统的鲁棒性分析
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-10-02 DOI: 10.1109/LCSYS.2025.3617038
S. P. O’Neil;E. A. Jonckheere;S. Schirmer
Differential sensitivity techniques originally developed to study the robustness of energy landscape controllers are generalized to the important case of closed quantum systems subject to continuously varying controls. Vanishing sensitivity to parameter variation is shown to coincide with perfect fidelity, as was the case for time-invariant controls. Upper bounds on the magnitude of the differential sensitivity to any parameter variation are derived based simply on knowledge of the system Hamiltonian and the maximum size of the control inputs.
差分灵敏度技术最初是为了研究能量景观控制器的鲁棒性而发展起来的,现在被推广到受连续变化控制的封闭量子系统的重要情况。对参数变化的消失灵敏度显示出与完美保真度一致,就像定常控制的情况一样。微分灵敏度对任何参数变化的大小的上界是基于系统哈密顿量的知识和控制输入的最大尺寸推导出来的。
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引用次数: 0
On Variance-Reduced Extragradient Methods for Stochastic Generalized Nash Equilibrium Problems 随机广义纳什均衡问题的减方差外聚方法
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-09-29 DOI: 10.1109/LCSYS.2025.3615593
Barbara Franci
We study variance reduction schemes for stochastic generalized Nash equilibrium problems. Specifically, we consider two instances of the extragradient algorithm to find a Nash equilibrium and show their convergence under weaker assumptions than the literature. In the particular case where we can write the cost function as a finite sum, we also propose a novel approximation scheme that sensibly lowers the computational burden. Numerical simulations suggest that the performance of the new approximation scheme can improve the computations also in the fully stochastic (infinite) case.
研究随机广义纳什均衡问题的方差约简方案。具体地说,我们考虑了两个实例的extraggradient算法来寻找纳什均衡,并证明了它们在比文献更弱的假设下的收敛性。在我们可以将成本函数写成有限和的特殊情况下,我们还提出了一种新的近似方案,可以显着降低计算负担。数值模拟结果表明,在完全随机(无限)情况下,新逼近格式的性能也能提高计算效率。
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引用次数: 0
Time-Constrained Consensus With Reduced Agent Interactions for Matrix-Scaled Networks 矩阵尺度网络中减少Agent交互的时间约束一致性
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-09-24 DOI: 10.1109/LCSYS.2025.3614183
K. P. Sunny;Rakesh R. Warier
This letter proposes a distributed control method for matrix-scaled multi-agent networks aimed at achieving practical convergence within a user-defined time frame. The control law of each individual agent relies only on information from neighboring agents and is updated at discrete intervals determined by state-dependent triggering functions, reducing the frequency of agent interactions. To this end, first, the controller is augmented with a time-varying gain. Then, the dynamics of the closed-loop system over the finite-time interval is transformed into an infinite-time frame using time scaling. Lyapunov-based analysis is employed to derive suitable triggering conditions that guarantee the asymptotic convergence of the time-transformed system, thereby ensuring the prescribed-time convergence of the original system. Furthermore, a practical prescribed-time event-triggered control scheme is proposed that excludes Zeno behavior. Simulation results validate the effectiveness of the proposed controller, even in the presence of external disturbances.
本文提出了一种矩阵尺度多智能体网络的分布式控制方法,旨在在用户定义的时间框架内实现实际收敛。每个个体智能体的控制律仅依赖于来自相邻智能体的信息,并由状态相关触发函数确定的离散间隔更新,从而降低了智能体交互的频率。为此,首先用时变增益增强控制器。然后,利用时间标度将闭环系统在有限时间区间内的动力学转化为无限时间区间。利用lyapunov分析方法推导出合适的触发条件,保证时变系统的渐近收敛,从而保证原系统的规定时间收敛。在此基础上,提出了一种实用的排除芝诺行为的定时事件触发控制方案。仿真结果验证了该控制器在存在外部干扰的情况下的有效性。
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引用次数: 0
Control of Subpopulation Fractions in a Population of Bistable Cells 双稳态细胞群体中亚群体分数的控制
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-09-24 DOI: 10.1109/LCSYS.2025.3613753
Dylan Hirsch;Sylvia Herbert
Bistable genetic circuits have long been studied in systems and synthetic biology, with notable recent work focused on controlling the phenotypic composition of populations with such circuits. Here, we build on previous literature to theoretically characterize a mechanism by which cells with bistable circuits can use quorum sensing to drive the population to arbitrary phenotypic compositions. We in particular investigate the ability of a proportional controller to accomplish this task on ideal and non-ideal plants, providing performance guarantees and, under additional assumptions, guarantees of almost-global convergence to a desirable population equilibrium.
双稳态遗传电路在系统生物学和合成生物学中已经被研究了很长时间,最近的工作主要集中在控制这种电路的群体的表型组成上。在此,我们在先前文献的基础上,从理论上描述了一种机制,通过这种机制,具有双稳态电路的细胞可以使用群体感应来驱动种群到任意表型组成。我们特别研究了比例控制器在理想和非理想植物上完成此任务的能力,提供性能保证,并在附加假设下保证几乎全局收敛到理想种群平衡。
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引用次数: 0
An Output Feedback Approach to Differential Graphical Games in Linear Multiagent Systems 线性多智能体系统差分图形对策的输出反馈方法
IF 2 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-09-22 DOI: 10.1109/LCSYS.2025.3612938
Tochukwu E. Ogri;Muzaffar Qureshi;Zachary I. Bell;Wanjiku A. Makumi;Rushikesh Kamalapurkar
This letter presents an output feedback approach to distributed optimal formation control of linear time-invariant multiagent systems. The formation control problem is formulated as a differential graphical game problem. It is assumed that each agent receives partial error-states of its immediate neighbors. To account for the dependence of the value function of each agent on the error-states of its extended neighbors, a robust observer that estimates the error-states of the extended neighbors using partial error-states of the immediate neighbors is designed. The observer is integrated with a controller to approximate a global feedback Nash equilibrium (FNE) solution of the differential graphical game. Stability of the closed-loop system and convergence of the estimated value functions to the approximate FNE solution are established using a Lyapunov-based analysis. Simulations demonstrate the efficacy of the developed approach.
本文提出了线性定常多智能体系统分布式最优编队控制的输出反馈方法。将编队控制问题表述为微分图形博弈问题。假设每个代理接收到它的近邻的部分错误状态。为了考虑每个智能体的值函数对其扩展邻居的错误状态的依赖性,设计了一个鲁棒观测器,该观测器使用直接邻居的部分错误状态来估计扩展邻居的错误状态。该观测器与控制器相结合,逼近微分图形对策的全局反馈纳什均衡(FNE)解。利用李雅普诺夫分析方法,建立了闭环系统的稳定性和估计函数对FNE近似解的收敛性。仿真结果表明了该方法的有效性。
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IEEE Control Systems Letters
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