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A PI+R Control Scheme Based on Multi-Agent Systems for Economic Dispatch in Isolated BESSs

IEEE/CAA Journal of Automatica Sinica 2024年第10期11卷 2154-2165页

作者： Yalin Zhang Zhongxin Liu zengqiang chen College of Artificial Intelligence Nankai UniversityTianjin 300350 Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation Nankai UniversityTianjin 300350China IEEE

Battery energy storage systems(BESSs)are widely used in smart ***,power consumed by inner impedance and the capacity degradation of each battery unit become particularly severe,which has resulted in an increase in operating *** general economic dispatch(ED)algorithm based on marginal cost(MC)consensus is usually a proportional(P)controller,which encounters the defects of slow convergence speed and low control *** order to solve the distributed ED problem of the isolated BESS network with excellent dynamic and steady-state performance,we attempt to design a proportional integral(PI)controller with a reset mechanism(PI+R)to asymptotically promote MC consensus and total power mismatch towards 0 in this *** be frank,the integral term in the PI controller is reset to 0 at an appropriate time when the proportional term undergoes a zero crossing,which accelerates convergence,improves control accuracy,and avoids *** eigenvalues of the system under a PI+R controller is well analyzed,ensuring the regularity of the system and enabling the reset *** ensure supply and demand balance within the isolated BESSs,a centralized reset mechanism is introduced,so that the controller is distributed in a flow set and centralized in a jump *** cope with Zeno behavior and input delay,a dwell time that the system resides in a flow set is *** on this,the system with input delays can be reduced to a time-delay free *** the capacity limitation of the battery,a modified MC scheme with PI+R controller is *** correctness of the designed scheme is verified through relevant simulations.

关键词： Battery energy storage system(BESS) distributed control economic dispatch multi-agent system reset control

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Online control for pressure regulation of oxygen mask based on neural network

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Control Theory and Technology 2024年第3期22卷 487-501页

作者： Ligan Zhao Qinglin Sun Hao Sun Jin Tao zengqiang chen College of Artificial Intelligence Nankai UniversityTianjin 300350China Silo Al Helsinki 00100Finland

The aviation oxygen mask,which has a small volume of less than 1L and strong air tightness,imposes extremely high requirements on control performance of the oxygen *** on analyses of the operation principle of oxygen supply system,the dynamic model is established through the combination of mechanism analysis and experimental *** that the traditional fixed-parameter controllers are difficult to meet the control requirements with changes in pulmonary ventilation,this paper presents an online feedback controller based on neural network compensation(NNC),with connection weights that can be updated without *** mathematical simulations at different respiratory parameters,such as respiratory rate,are performed to verify the superior lower inspiratory resistance of controller with *** terms of hardware,an embedded AI control platform is to complete the experimental ***,the work may have downward compatibility to achieve stable oxygen supply in civil fields,such as medical ventilators,high-altitude expeditions.

关键词： Neural network Online control Pressure regulation AI platform

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翼伞系统自主归航的关键技术研究综述

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国防科技大学学报 2024年第4期46卷 1-15页

作者：孙青林杨金山孙昊陈增强南开大学人工智能学院天津300350

探究翼伞系统的建模、航迹规划和轨迹跟踪控制三项关键技术,以支撑翼伞系统的自主归航在大规模装备空投补给、运载火箭助推器回收和自然灾难救援等场合的广阔应用前景。通过调研国内外翼伞系统的发展,对其三项关键技术的基本原理、常用... 详细信息

探究翼伞系统的建模、航迹规划和轨迹跟踪控制三项关键技术,以支撑翼伞系统的自主归航在大规模装备空投补给、运载火箭助推器回收和自然灾难救援等场合的广阔应用前景。通过调研国内外翼伞系统的发展,对其三项关键技术的基本原理、常用方法和前沿技术进行对比分析和归纳概括,重点包括翼伞系统在复杂环境下的柔性建模技术和障碍空间内的航迹规划技术以及基于智能控制策略的轨迹跟踪技术。对翼伞系统自主归航关键技术的未来发展趋势进行总结和展望,有助于对翼伞系统的自主归航研究形成总体性认知并掌握其发展动向,将对后续翼伞系统自主归航的研究具有启示作用和借鉴价值。

关键词：翼伞系统自主归航航迹规划轨迹跟踪控制

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超纯无烟煤导电性影响因素

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洁净煤技术 2024年第1期30卷 1-9页

作者：宋树磊阎善文许轩陈增强刘红旗煤炭加工与高效洁净利用教育部重点实验室江苏徐州221116 中国矿业大学化工学院江苏徐州221116 山东瑞福锂业有限公司山东泰安271600

为研究无烟煤自身的导电特性,提高其导电性能,使无烟煤成为填料和电极材料的一部分,采用酸溶法制备了灰分0.13%的超纯无烟煤,采用粉末电阻率仪探索了含水率、灰分、压强、粒度及矿物质成分对超纯无烟煤导电性的影响规律。结果表明,无烟... 详细信息

为研究无烟煤自身的导电特性,提高其导电性能,使无烟煤成为填料和电极材料的一部分,采用酸溶法制备了灰分0.13%的超纯无烟煤,采用粉末电阻率仪探索了含水率、灰分、压强、粒度及矿物质成分对超纯无烟煤导电性的影响规律。结果表明,无烟煤电导率随含水率和压强的升高呈上升趋势。随灰分降低电导率逐渐升高。灰分低于1.0%时,电导率随灰分降低而急剧升高。压强4.00 MPa、含水率6.21%、粒度0.2~0.1 mm,灰分降至0.13%时,无烟煤导电性最佳,其电导率为1.44×10^(-7)S/cm。研究范围内,粒度对无烟煤电导率影响较小。煤中常见矿物质的电导率顺序为:黄铁矿>高岭石>二氧化硅>碳酸钙>硫酸钙;黄铁矿电导率最高,达1.32×10^(-2)S/cm。无烟煤电导率随黄铁矿含量增加呈升高趋势,而随其他矿物质含量增加呈降低趋势。采用响应曲面模型优化正交试验结果,获得了无烟煤电导率与含水率、灰分及粒度之间的二次回归方程。含水率和灰分对无烟煤电导率测试结果的影响显著,其中灰分对电导率的影响程度最大,含水率次之,粒度最小。

关键词：超纯无烟煤导电性电阻率电导率影响因素正交试验

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A matrix-based static approach to analysis of finite state machines

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Frontiers of Information Technology & Electronic Engineering 2022年第8期23卷 1239-1246页

作者： He DENG Yongyi YAN zengqiang chen College of Information Engineering Henan University of Science and TechnologyLuoyang 471000China College of Artificial Intelligence Nankai UniversityTianjin 300071China

Traditional matrix-based approaches in the field of finite state machines construct state transition matrices,and then use the powers of the state transition matrices to represent corresponding dynamic transition processes,which are cornerstones of system *** this study,we propose a static matrix-based approach that revisits a finite state machine from its structure rather than its dynamic transition process,thus avoiding the“explosion of complexity”problem inherent in the existing *** on the static approach,we reexamine the issues of closed-loop detection and controllability for deterministic finite state *** addition,we propose controllable equivalent form and minimal controllable equivalent form concepts and give corresponding algorithms.

关键词： Logical systems Finite-valued systems Semi-tensor product of matrices Finite state machines Matrix approaches

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Sampled data based containment control of second-order multi-agent systems under intermittent communications

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Frontiers of Information Technology & Electronic Engineering 2021年第8期22卷 1059-1067页

作者： Fuyong WANG Zhongxin LIU zengqiang chen Department of Automation College of Artificial IntelligenceNankai UniversityTianjin 300350China Tianjin Key Laboratory of Intelligent Robotics College of Artificial IntelligenceNankai UniversityTianjin 300350China

This paper studies the sampled data based containment control problem of second-order multi-agent systems with intermittent communications,where velocity measurements for each agent are unavailable.A novel controller for second-order containment is put forward via intermittent sampled position data *** necessary and sufficient conditions are derived to achieve intermittent sampled containment control by means of analyzing the relationship among control gains,eigenvalues of the Laplacian matrix,the sampling period,and the communication ***,several simulation examples are used to testify the correctness and effectiveness of the theoretical results.

关键词： Containment control Second-order multi-agent system Sampled position data Intermittent communication Communication width

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The greedy crowd and smart leaders: a hierarchical strategy selection game with learning protocol

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Science China(Information Sciences) 2021年第3期64卷 193-206页

作者： Linghui GUO Zhongxin LIU zengqiang chen College of Artificial Intelligence Nankai University Tianjin Key Laboratory of Intelligent Robotics Nankai University

In this paper, a general resource distribution game with a hierarchical structure on the bipartite graph is proposed. In this system, the game is divided into two interacting levels, the agent level and the group level, with negotiations taking place on both levels. Each agent can belong to multiple groups,resulting in a system topology with a bipartite structure. On the agent level, decisions are based on the greedy principle, with the game being a state-based potential game. In contrast, some participants on the group level behave more "smartly" and are more likely to adopt a sophisticated strategy maximizing their personal interest. Strategies on both levels are based on distributed protocols, and the social welfare increases as the system approaches a Nash-equilibrium point. The designed protocols are theoretically analyzed from stability and efficiency. Furthermore, a reinforcement learning algorithm is introduced in the group level, where the smarter players are allowed to refine their strategies in the multi-step decision-making process by learning from historic game outcomes. In theory and according to simulations, agents with the learning behavior improve not only their personal interest but also the efficiency of the systemic resource distribution.

关键词： multi-agent system reinforcement learning game theory complex network bipartite graph

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Event-triggered fault-tolerant consensus control with control allocation in leader-following multi-agent systems

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Science China(Technological Sciences) 2021年第4期64卷 879-889页

作者： WANG XingXia LIU ZhongXin chen zengqiang College of Artificial Intelligence Nankai UniversityTianjin 300350China Key Laboratory of Intelligent Robotics of Tianjin Tianjin 300350China

Event-triggered consensus in leader-following multi-agent systems with actuator fault is considered in this paper, in which the fault investigated can be multiplicative fault and outage fault. An event-triggered mechanism is utilized to relieve the communication burden of the interconnected system. Then, control allocation is proposed to solve actuator fault in the multi-agent systems for the first time. Compared with the existing fault-tolerant methods, the proposed method can guarantee that the consensus errors converge to zero asymptotically without the traditional rank assumption. Meanwhile, the Zeno behavior of the event-triggered system is proved to be avoided. Simulation results are also provided to verify the effectiveness of the proposed method.

关键词： multi-agent systems fault-tolerant control consensus event-triggered mechanism control allocation optimal

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EVENT-TRIGGERED AVERAGE-CONSENSUS OF MULTI-AGENT SYSTEMS WITH WEIGHTED AND DIRECT TOPOLOGY

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Journal of Systems Science & Complexity 2012年第5期25卷 845-855页

作者： Zhongxin LIU zengqiang chen Zhuzhi YUAN Department of Automation Nankai University

This paper investigates the average-consensus problem of multi-agent systems with direct and weighted topologies. Event-triggered control laws are adopted so as to reduce the frequency of individual control updating since the agents may be resource-limited in many real systems. The discrete time instants where the events are triggered are determined by a trigger function with respect to a certain measurement error. A centralized average-consensus protocol is proposed first for networks with fixed interaction topology, the stability and influencing factors of which are also analyzed. The design of trigger functions for networks with variable topology is also discussed. Then the results are extended to the decentralized counterpart, in which agents require only the information of their neighbors. Numerical examples are also provided that demonstrate the effectiveness of the theoretical results.

关键词： Average-consensus consensus digraph event-triggered control multi-agent system.

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Constrained predictive control based on T-S fuzzy model for nonlinear systems

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Journal of Systems Engineering and Electronics 2007年第1期18卷 95-100页

作者： Su Baili chen zengqiang Yuan Zhuzhi Dept. of Automation Nankai Univ. Tianjin 300071 P. R. China Qufu Normal Univ. Qufu 273165 P. R. China

A constrained generalized predictive control （GPC） algorithm based on the T-S fuzzy model is presented for the nonlinear system. First, a Takagi-Sugeno （T-S） fuzzy model based on the fuzzy cluster algorithm and the orthogonalleast square method is constructed to approach the nonlinear system. Since its consequence is linear, it can divide the nonlinear system into a number of linear or nearly linear subsystems. For this T-S fuzzy model, a GPC algorithm with input constraints is presented. This strategy takes into account all the constraints of the control signal and its increment, and does not require the calculation of the Diophantine equations. So it needs only a small computer memory and the computational speed is high. The simulation results show a good performance for the nonlinear systems.

关键词： Generalized predictive control (GPC) Nonlinear system T-S fuzzy model Input constraint Fuzzy cluster

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