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The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System

Zhang Hongwei,Wu Aiguo,Sheng Tao

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 58-62

Abstract:

A VAV system can be treated as a multi-agent system. In this paper, a multi-agent-based distributed intelligent control method is presented to solve the problem of concordance and decoupling in the VAV system. A simulation program of VAV system is set up for control analysis. Through a simulation, this control method has been proved to be satisfactory.

Keywords： VAV     agent     multi-agent system     distributed intelligent control    

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Leader-following synchronization of a multi-agent system with heterogeneous delays Research Articles

Branislav Rehák, Volodymyr Lynnyk,rehakb@utia.cas.cz,volodymyr.lynnyk@utia.cas.cz

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000207

Abstract: An algorithm is presented for leader-following synchronization of a composed of linear agents with . The presence of different delays in various agents can cause a synchronization error that does not converge to zero. However, the norm of this error can be bounded and this boundary is presented. The proof of the main results is formulated by means of linear matrix inequalities, and the size of this problem is independent of the number of agents. Results are illustrated through examples, highlighting the fact that the steady error is caused by heterogeneous delays and demonstrating the capability of the proposed algorithm to achieve synchronization up to a certain error.

Keywords： Multi-agent system     Time delay     Linear matrix inequality    

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Leader-following consensus of second-order nonlinear multi-agent systems subject to disturbances None

Mao-bin LU, Lu LIU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 88-94 doi: 10.1631/FITEE.1800611

Abstract:

In this study, we investigate the leader-following consensus problem of a class of heterogeneous secondorder nonlinear multi-agent systems subject to disturbances. In particular, the nonlinear systems contain uncertainties that can be linearly parameterized. We propose a class of novel distributed control laws, which depends on the relative state of the system and thus can be implemented even when no communication among agents exists. By Barbalat’s lemma, we demonstrate that consensus of the second-order nonlinear multi-agent system can be achieved by the proposed distributed control law. The effectiveness of the main result is verified by its application to consensus control of a group of Van der Pol oscillators.

Keywords： Multi-agent systems     Leader-following consensus     Distributed control    

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Bipartite asynchronous impulsive tracking consensus for multi-agent systems Research Article

Lingzhong ZHANG, Yuanyuan LI, Jungang LOU, Jianquan LU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1522-1532 doi: 10.1631/FITEE.2100122

Abstract:

In this study, we discuss how (MASs) with a leader can achieve distributed using control strategies. The proposed control approach does not require the impulse to occur simultaneously for all agents. The communication links between neighboring nodes of MASs are antagonistic. When the leader’s control input is non-zero, sufficient conditions are obtained to achieve bipartite tracking in closed-loop MASs. More extensive ranges of effects are discussed, and the designed controller’s feedback can effectively work against adverse impulsive permutation. Simple algebraic conditions for estimating the impulsive gain boundary and interval are presented. Theoretical results are demonstrated with illustrative examples.

Keywords： Bipartite tracking     Multi-agent systems     Asynchronous impulsive     Consensus    

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Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes Research Articles

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000034

Abstract: We study the problem for high-order heterogeneous nonlinear under distributed event-triggered schemes. To achieve the objective and reduce communication consumption among agents, a scheme is proposed by applying the backstepping method, Lyapunov functional approach, and neural networks. Then, the results are extended to the self-triggered control case to avoid continuous monitoring of state errors. The developed protocols and triggered rules ensure that the output for each follower converges to the convex hull spanned by multi-leader signals within a bounded error. In addition, no agent exhibits . Two numerical simulations are finally presented to verify the correctness of the obtained results.

Keywords： Multi-agent systems     Distributed event-triggered control     Containment control     Heterogeneous nonlinear systems     Zeno behavior    

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SIoTFog: Byzantine-resilient IoT fog networking None

Jian-wen XU, Kaoru OTA, Mian-xiong DONG, An-feng LIU, Qiang LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12,   Pages 1546-1557 doi: 10.1631/FITEE.1800519

Abstract:

The current boom in the Internet of Things (IoT) is changing daily life in many ways, from wearable devices to connected vehicles and smart cities. We used to regard fog computing as an extension of cloud computing, but it is now becoming an ideal solution to transmit and process large-scale geo-distributed big data. We propose a Byzantine fault-tolerant networking method and two resource allocation strategies for IoT fog computing. We aim to build a secure fog network, called “SIoTFog,” to tolerate the Byzantine faults and improve the efficiency of transmitting and processing IoT big data. We consider two cases, with a single Byzantine fault and with multiple faults, to compare the performances when facing different degrees of risk. We choose latency, number of forwarding hops in the transmission, and device use rates as the metrics. The simulation results show that our methods help achieve an efficient and reliable fog network.

Keywords： Byzantine fault tolerance     Fog computing     Resource allocation     Internet of Things (IoT)    

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Adaptive output feedback formation tracking for a class of multiagent systems with quantized input signals None

Jing-lin HU, Xiu-xia SUN, Lei HE, Ri LIU, Xiong-feng DENG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1086-1097 doi: 10.1631/FITEE.1601801

Abstract:

A novel adaptive output feedback control approach is presented for formation tracking of a multiagent system with uncertainties and quantized input signals. The agents are described by nonlinear dynamics models with unknown parameters and immeasurable states. A high-gain dynamic state observer is established to estimate the immeasurable states. With a proper design parameter choice, an adaptive output feedback control method is developed employing a hysteretic quantizer and the designed dynamic state observer. Stability analysis shows that the control strategy can guarantee that the agents can maintain the formation shape while tracking the reference trajectory. In addition, all the signals in the closed-loop system are bounded. The effectiveness of the control strategy is validated by simulation.

Keywords： Multiagent system     Adaptive output feedback     Formation tracking     Hysteretic quantizer    

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Launch dynamics of multibody system and its applications

Rui Xiaoting

Strategic Study of CAE 2011, Volume 13, Issue 10,   Pages 76-82

Abstract:

Bad firing precision, huge consumption of projectiles in test and launch unsafety are the three difficult technology problems constraining the development of modern rockets and gun weapons. Firing precision and the launch safety of weapon system depend on dynamics style of weapon system. As a engineering subject of multidisciplinary approach studying the motion styles of weapon system and the force acting on it during launch process, launch dynamics has been a new technological breakthrough in improving firing precision and launch safety of rockets and gun weapon system in the world, provided new theory and technology for design and test of firing precision and launch safety. In this paper, theory and technology of launch dynamics of multibody system and its applications in design and test of firing precision and safety for rockets and gun weapons are studied.

Keywords： firing precision     consumption of projectile in test     launch safety     launch dynamics of multibody system     transfer matrix method of multibody system    

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

Fuyong Wang, Zhongxin Liu, Zengqiang Chen,wangfy@nankai.edu.cn,lzhx@nankai.edu.cn,chenzq@nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8,   Pages 1059-1067 doi: 10.1631/FITEE.2000204

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

Keywords： 包含控制；二阶多智能体系统；采样位置数据；间歇通信；通信宽度    

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Consensus of multi-agent systems with dynamic join characteristics under impulsive control Research Articles

Xiang Hu, Zufan Zhang, Chuandong Li,huyangyu0203@163.com,zhangzf@cqupt.edu.cn,cdli@swu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000062

Abstract: We study how to achieve the of a whole after adding some new agent groups dynamically in the original . We analyze the feasibility of dynamically adding agent groups under different forms of network topologies that are currently common, and obtain four feasible schemes in theory, including one scheme that is the best in actual industrial production. Then, we carry out dynamic modeling of s for the best scheme. Impulsive control theory and Lyapunov stability theory are used to analyze the conditions so that the whole with can achieve . Finally, we provide a numerical example to verify the practicality and validity of the theory

Keywords： Multi-agent system     Network topology     Impulsive input     Dynamic join characteristics     State consensus    

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Institutionalized and systematized gaming for multi-agent systems Editorial

Jun LU, Fei-Yue WANG, Qi DONG, Qinglai WEI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 991-994 doi: 10.1631/FITEE.2240000

Abstract: Multi-agent system gaming (MASG) is widely applied in military intelligence, information networks, unmanned systems, intelligent transportation, and smart grids, exhibiting systematic and organizational characteristics. It requires the multi-agent system perceive and act in a complex dynamic environment and at the same time achieve a balance between individual interests and the maximization of group interests within the system. Some problems include complex system structure, uncertain game environment, incomplete decision information, and unexplainable results. As a result, the study of multi-agent game has transformed from a traditional simple game to a game facing a high-dimensional, continuous, and complex environment, which prompts an urgent need for institutionalized and systematized gaming (InSys gaming). With this background, several important tendencies have emerged in the development of InSys gaming for multi-agent systems:1. Analyzing the evolution law of MASG and establishing the InSys gaming theory model for multi-agent systemsThe organized and systematic MASG has orderly and structured characteristics, so it is necessary to establish a system game model. To study political, military, economic, and other systemic confrontation gaming problems, the first step is to analyze the system’s internal evolution characteristics and external interaction information. In addition, establishing the evolution model of InSys gaming and studying the elements, relationships, and criteria of the game evolution help provide theoretical support for the system design, decision-making planning, and other research in this field.2. Combining several artificial intelligence learning algorithms to achieve collaborative decision-making of multi-agent systemsThe current mainstream artificial intelligence learning methods all have application advantages in specific scenarios. In solving InSys gaming problems, we can combine the environmental representation ability of deep learning and the decision generation ability of reinforcement learning (RL). For example, by building a digital simulation training environment, intelligent decision algorithms and unsupervised training methods can be designed to generate a multi-agent system’s collaborative decision in a complex and unknown environment.3. Adopting a hierarchical task planning and decision-making action architecture to reduce the complexity of collaborative decision-making algorithmsWith the increase of the scale of multi-agent systems, the problems of node coupling, observation uncertainty, and interaction disorder faced by collaborative decision-making have become increasingly prominent. The complexity of solving its systematic and organized game problems has increased significantly. A multi-agent hierarchical algorithm architecture is constructed through game task decomposition, longterm planning, and real-time action decision-making. It can effectively reduce the complexity of the search process of a collaborative decision-making algorithm. In addition, it is a feasible idea for solving an organized and systematic game.4. Establishing the robustness analysis framework of the algorithm model to solve the model deviation between data-driven methods and the actual sceneWhen the training data deviates from the actual scene for data-driven methods, the algorithm’s performance will be degraded. Thus, it is necessary to study the robustness analysis framework of data-driven methods. For example, a robust algorithm model and an actual data fine-tuning method are designed to reduce the performance loss of the trained algorithm. This strategy helps support the actual deployment of data-driven methods.Game theory has become a basic analytical framework for solving problems in strategic politics, military confrontation, market economy, and so on. The object of analysis is characterized by complex systematization and organization and has been highly concerned with and valued by academic and industrial circles alike. A multi-agent system is used to model the organized and systematic game, combined with an artificial intelligence method to solve the game decision-making problem, providing a new idea for developing theories, methods, and technologies in this field.
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Decentralized multi-agent reinforcement learning with networked agents: recent advances Review Article

Kaiqing Zhang, Zhuoran Yang, Tamer Başar,kzhang66@illinois.edu,zy6@princeton.edu,basar1@illinois.edu

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 802-814 doi: 10.1631/FITEE.1900661

Abstract: Multi-agent (MARL) has long been a significant research topic in both machine learning and control systems. Recent development of (single-agent) deep has created a resurgence of interest in developing new MARL algorithms, especially those founded on theoretical analysis. In this paper, we review recent advances on a sub-area of this topic: decentralized MARL with networked agents. In this scenario, multiple agents perform sequential decision-making in a common environment, and without the coordination of any central controller, while being allowed to exchange information with their neighbors over a communication network. Such a setting finds broad applications in the control and operation of robots, unmanned vehicles, mobile sensor networks, and the smart grid. This review covers several of our research endeavors in this direction, as well as progress made by other researchers along the line. We hope that this review promotes additional research efforts in this exciting yet challenging area.

Keywords： 强化学习；多智能体系统；网络系统；一致性优化；分布式优化；博弈论    

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Synchronization of nonlinear multi-agent systems using a non-fragile sampled data control approach and its application to circuit systems Research Article

Stephen AROCKIA SAMY, Raja RAMACHANDRAN, Pratap ANBALAGAN, Yang CAO,caoyeacy@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 4,   Pages 553-566 doi: 10.1631/FITEE.2200181

Abstract: The main aim of this work is to design a scheme for the criteria for interconnected coupled circuit systems (multi-agent systems, MASs). NFSDC is used to conduct synchronization analysis of the considered MASs in the presence of s. By constructing suitable Lyapunov functions, sufficient conditions are derived in terms of linear matrix inequalities (LMIs) to ensure synchronization between the MAS leader and follower systems. Finally, two numerical examples are given to show the effectiveness of the proposed control scheme and less conservation of the proposed Lyapunov functions.

Keywords： Multi-agent systems (MASs)     Non-fragile sampled data control (NFSDC)     Time-varying delay     Linear matrix inequality (LMI)     Asymptotic synchronization    

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Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks Research Article

Hanqi DAI, Weining LU, Xianglong LI, Jun YANG, Deshan MENG, Yanze LIU, Bin LIANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1069-1076 doi: 10.1631/FITEE.2100597

Abstract: is one of the critical problems in the field of gaming. This work focuses on when each agent has only a local observation range and local communication. We propose a novel architecture that combines a graph neural network with a sampling method. Two main contributions of this paper are based on the comparisons with previous work: (1) we realize feasible and dynamic adjacent information fusion using (i.e., Graph SAmple and aggreGatE), which is the first time this method has been used to deal with the problem, and (2) a task-oriented sampling method is proposed to aggregate the available knowledge from a particular orientation, to obtain an effective and stable training process in our model. Experimental results demonstrate the good performance of our proposed method.

Keywords： Multi-agent system     Cooperative planning     GraphSAGE     Task-oriented knowledge fusion    

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Finite-time formation control for first-order multi-agent systems with region constraints Research Articles

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000177

Abstract: In this study, the control of s with region constraints is studied. Multiple agents have first-order dynamics and a common target area. A novel control algorithm is proposed using local information and interaction. If the communication graph is undirected and connected and the desired framework is rigid, it is proved that the controller can be used to solve the formation problem with a target area. That is, all agents can enter the desired region in finite time while reaching and maintaining the desired formation shapes. Finally, a numerical example is given to illustrate the results.

Keywords： Finite-time formation     Multi-agent system     Asymptotic convergence     Set constraint     Lyapunov theorem    

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Title Author Date Type Operation

The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System

Zhang Hongwei,Wu Aiguo,Sheng Tao

Journal Article

Leader-following synchronization of a multi-agent system with heterogeneous delays

Branislav Rehák, Volodymyr Lynnyk,rehakb@utia.cas.cz,volodymyr.lynnyk@utia.cas.cz

Journal Article

Leader-following consensus of second-order nonlinear multi-agent systems subject to disturbances

Mao-bin LU, Lu LIU

Journal Article

Bipartite asynchronous impulsive tracking consensus for multi-agent systems

Lingzhong ZHANG, Yuanyuan LI, Jungang LOU, Jianquan LU

Journal Article

Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Journal Article

SIoTFog: Byzantine-resilient IoT fog networking

Jian-wen XU, Kaoru OTA, Mian-xiong DONG, An-feng LIU, Qiang LI

Journal Article

Adaptive output feedback formation tracking for a class of multiagent systems with quantized input signals

Jing-lin HU, Xiu-xia SUN, Lei HE, Ri LIU, Xiong-feng DENG

Journal Article

Launch dynamics of multibody system and its applications

Rui Xiaoting

Journal Article

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

Fuyong Wang, Zhongxin Liu, Zengqiang Chen,wangfy@nankai.edu.cn,lzhx@nankai.edu.cn,chenzq@nankai.edu.cn

Journal Article

Consensus of multi-agent systems with dynamic join characteristics under impulsive control

Xiang Hu, Zufan Zhang, Chuandong Li,huyangyu0203@163.com,zhangzf@cqupt.edu.cn,cdli@swu.edu.cn

Journal Article

Institutionalized and systematized gaming for multi-agent systems

Jun LU, Fei-Yue WANG, Qi DONG, Qinglai WEI

Journal Article

Decentralized multi-agent reinforcement learning with networked agents: recent advances

Kaiqing Zhang, Zhuoran Yang, Tamer Başar,kzhang66@illinois.edu,zy6@princeton.edu,basar1@illinois.edu

Journal Article

Synchronization of nonlinear multi-agent systems using a non-fragile sampled data control approach and its application to circuit systems

Stephen AROCKIA SAMY, Raja RAMACHANDRAN, Pratap ANBALAGAN, Yang CAO,caoyeacy@seu.edu.cn

Journal Article

Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks

Hanqi DAI, Weining LU, Xianglong LI, Jun YANG, Deshan MENG, Yanze LIU, Bin LIANG

Journal Article

Finite-time formation control for first-order multi-agent systems with region constraints

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn

Journal Article