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IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3455691
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引用次数: 0
Information For Authors 作者须知
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3455653
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引用次数: 0
IEEE Transactions on Systems, Man, and Cybernetics publication information 电气和电子工程师学会《系统、人和控制论》期刊出版信息
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3455649
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引用次数: 0
IEEE Transactions on Systems, Man, and Cybernetics publication information 电气和电子工程师学会《系统、人和控制论》期刊出版信息
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3455689
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引用次数: 0
A Novel Event-Triggered Iterative Learning Model Predictive Control for Linear Systems 线性系统的新型事件触发迭代学习模型预测控制
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3450126
Shuyu Zhang;Xiao-Dong Li;Xuefang Li
In this work, a novel event-triggered iterative learning model predictive control (ILMPC) framework is developed for a class of linear systems subject to input saturation and initial shift. First, a nominal ILMPC strategy is proposed to clearly demonstrate the design philosophy, in which an initial state learning scheme is incorporated to remove the identical initialization condition. Furthermore, in order to reduce the communication and computation loads of the proposed ILMPC approach, two efficient ILMPC strategies, namely, a time-direction event-triggered ILMPC and a hybrid time-iteration-direction event-triggered ILMPC schemes, are developed by considering the event-triggered strategies along the time and iteration axes. It is shown that the proposed event-triggered ILMPC strategies are able to save the communication and computation resources significantly while maintaining the tracking control performance. The convergence of the proposed ILMPC schemes are analyzed rigorously via the contraction mapping methodology and the Lyapunov-like theory, and the effectiveness of the proposed ILMPC method is verified through a numerical example.
本研究针对一类受输入饱和和初始偏移影响的线性系统,开发了一种新颖的事件触发迭代学习模型预测控制(ILMPC)框架。首先,提出了一种名义 ILMPC 策略,以清楚地展示设计理念,其中包含了一种初始状态学习方案,以消除相同的初始化条件。此外,为了减少所提出的 ILMPC 方法的通信和计算负荷,通过沿时间轴和迭代轴考虑事件触发策略,开发了两种高效的 ILMPC 策略,即时间方向事件触发的 ILMPC 和时间-迭代方向事件触发的混合 ILMPC 方案。结果表明,所提出的事件触发式 ILMPC 策略能够在保持跟踪控制性能的同时大大节省通信和计算资源。通过收缩映射方法和类 Lyapunov 理论对提出的 ILMPC 方案的收敛性进行了严格分析,并通过一个数值示例验证了提出的 ILMPC 方法的有效性。
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引用次数: 0
A Two-Timescale Learning Automata Solution to the Nonlinear Stochastic Proportional Polling Problem 非线性随机比例投票问题的双时标学习自动机解决方案
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3414832
Anis Yazidi;Hugo Hammer;David S. Leslie
In this article, we introduce a novel learning automata (LA) solution to the nonlinear stochastic proportional polling (NSPP) problem. The only available solution to this problem in the literature is that given by Nicopolitidis et al. (2003), Obaidat et al. (2002), and Papadimitriou et al. (2002). It was shown to solve a large set of the adaptive resource allocation problems under noisy environments (Nicopolitidis et al., 2003; Obaidat et al., 2002; Papadimitriou and Pomportsis, 2000 and 1999; Nicopolitidis et al., 2004; Obaidat et al., 2001; and Papadimitriou and Pomportsis, 2000). We make a threefold contribution. First, we take a two-timescale approach to the field of LA by estimating the reward probabilities on a faster timescale than the timescale for updating the polling probabilities. Second, by making a not-obvious choice of the objective function, we show that the NSPP problem is indeed an instantiation of the stochastic nonlinear fractional equality knapsack (NFEK) problem, which is a substantial resource allocation problem based on the incomplete and noisy information (Granmo and Oommen, 2010). Third, in contrast to the legacy approach taken by Papadimitriou and Maritsas (1992 and 1996), we show through the extensive experimental results that our solution is remarkably robust to the choice of tuning parameters and that it outperforms the state of the art solution in terms of the Bayesian expected loss.
本文针对非线性随机比例投票(NSPP)问题提出了一种新颖的学习自动机(LA)解决方案。文献中对该问题唯一可用的解决方案是 Nicopolitidis 等人(2003 年)、Obaidat 等人(2002 年)和 Papadimitriou 等人(2002 年)给出的解决方案。该方法解决了大量噪声环境下的自适应资源分配问题(Nicopolitidis 等人,2003 年;Obaidat 等人,2002 年;Papadimitriou 和 Pomportsis,2000 年和 1999 年;Nicopolitidis 等人,2004 年;Obaidat 等人,2001 年;以及 Papadimitriou 和 Pomportsis,2000 年)。我们做出了三方面的贡献。首先,我们在 LA 领域采用了双时间尺度方法,在比更新投票概率的时间尺度更快的时间尺度上估计奖励概率。其次,通过对目标函数进行不明显的选择,我们证明了 NSPP 问题确实是随机非线性分数相等背包(NFEK)问题的实例化,而 NFEK 问题是一个基于不完整和噪声信息的实质性资源分配问题(Granmo 和 Oommen,2010 年)。第三,与 Papadimitriou 和 Maritsas(1992 年和 1996 年)采用的传统方法不同,我们通过大量实验结果表明,我们的解决方案对调整参数的选择具有显著的鲁棒性,而且在贝叶斯预期损失方面优于现有解决方案。
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引用次数: 0
The Notion of Internal Dynamics and Its Impact on Modeling and Controlling Supply Chains With Goods Characterized by Uncertain Perishability Rate 内部动态概念及其对具有不确定易腐率特征的商品供应链建模与控制的影响
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3450522
Beatrice Ietto;Valentina Orsini
For a deeper insight on the inventory control problem of periodically reviewed perishable supply chains (SCs) with perishable goods, we here introduce the notion of internal dynamics (ID) and propose a min-max model predictive control (MPC) of the inventory level based on this notion. The acronym ID denotes the actual scheduling of the usual management operations (OPs) executed inside each review period. We show that the information carried by the ID is fundamental to define an efficient inventory control policy (ICP). The notion of ID is particularly important in the case of SCs characterized by elements of complexity like: 1) perishable goods with large, not exactly known deterioration rate; 2) the length of the review period is such as to produce a high spoilage within it; 3) an uncertain future customer demand with oscillations that are not statistically modelable. Exploiting the notion of ID, we define an inventory model properly capturing these features. This model encompasses as particular cases other SC models proposed in the literature. We also define a coherent two criteria-based evaluation of the bullwhip effect (BE). We also provide key managerial insights for a proper scheduling of all the OPs inside each review period. The reported numerical simulations show the effectiveness of our approach.
为了深入探讨易腐物品定期检查供应链(SC)的库存控制问题,我们在此引入了内部动态(ID)的概念,并在此基础上提出了库存水平的最小-最大模型预测控制(MPC)。缩写 ID 表示在每个回顾期内执行的常规管理操作 (OP) 的实际调度。我们表明,ID 所携带的信息是定义高效库存控制策略 (ICP) 的基础。ID 的概念对于具有以下复杂因素的 SC 尤为重要:1) 易腐烂货物的变质率高,且不完全可知;2) 审查期的长度会在审查期内产生较高的变质率;3) 不确定的未来客户需求,且其波动无法用统计学模型来模拟。利用 "ID "概念,我们定义了一个库存模型,该模型能恰当地捕捉这些特征。该模型包括文献中提出的其他 SC 模型。我们还定义了一种基于两个标准的牛鞭效应(BE)评估方法。我们还提供了关键的管理见解,以便在每个审查期内对所有 OP 进行合理安排。报告中的数值模拟显示了我们方法的有效性。
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引用次数: 0
IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3455651
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引用次数: 0
Minimum Cost Consensus-Based Social Network Group Decision Making With Altruism-Fairness Preferences and Ordered Trust Propagation 基于利他主义-公平偏好和有序信任传播的最小成本共识式社会网络群体决策
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3452931
Yu Feng;Yaoguo Dang;Junjie Wang;Junliang Du;Francisco Chiclana
Different from conventional decision-making environments, decision makers (DMs) in a community setting usually exhibit the complex social preferences and intricate social interactions, which may lead to high-decision costs for group consensus reaching. To address this challenge, we design a minimum cost consensus-based social network group decision making (SNGDM) approach considering altruism-fairness preferences and ordered trust propagation. First, a trust propagation method with order effect and path length is proposed to estimate the completed trust relationships among DMs in order to determine the weights of DMs. Then, inspired by the interaction of altruism and fairness preferences, we define the individual altruism-fairness preference utility function and utility level for cost consensus, and explore some properties. Afterwards, a new minimum cost consensus-based SNGDM with individual altruism-fairness preference utility is constructed. Finally, the validity of the proposed consensus framework is confirmed through the carbon reduction consensus problem of China’s aviation enterprises. Moreover, the sensitivity studies and comparative analysis are conducted to further demonstrate the merits of our proposal.
与传统的决策环境不同,社区环境中的决策者(DMs)通常表现出复杂的社会偏好和错综复杂的社会互动,这可能会导致达成群体共识的决策成本过高。为了应对这一挑战,我们设计了一种基于最小成本共识的社会网络群体决策(SNGDM)方法,其中考虑了利他主义-公平偏好和有序信任传播。首先,我们提出了一种具有有序效应和路径长度的信任传播方法来估计 DM 之间的完整信任关系,从而确定 DM 的权重。然后,受利他主义和公平偏好交互作用的启发,我们定义了成本共识的个体利他主义-公平偏好效用函数和效用水平,并探讨了一些特性。之后,我们构建了一个基于最小成本共识的、具有个体利他主义-公平偏好效用的 SNGDM。最后,通过中国航空企业的碳减排共识问题证实了所提出的共识框架的有效性。此外,我们还进行了敏感性研究和比较分析,以进一步证明我们建议的优点。
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引用次数: 0
Information For Authors 作者须知
IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3455693
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引用次数: 0
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IEEE Transactions on Systems Man Cybernetics-Systems
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