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  1. Network Pseudohealth Information Recognition Model: An Integrated Architecture of Latent Dirichlet Allocation and Data Block Update.Jie Zhang, Pingping Sun, Feng Zhao, Qianru Guo & Yue Zou - 2020 - Complexity 2020:1-12.
    The wanton dissemination of network pseudohealth information has brought great harm to people’s health, life, and property. It is important to detect and identify network pseudohealth information. Based on this, this paper defines the concepts of pseudohealth information, data block, and data block integration, designs an architecture that combines the latent Dirichlet allocation algorithm and data block update integration, and proposes the combination algorithm model. In addition, crawler technology is used to crawl the pseudohealth information transmitted on the Sina Weibo (...)
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  • Guaranteed Cost Formation Tracking Control for Swarm Systems with Intermittent Communications.Purui Zhang, Xiaoqian Chen & Xiaogang Yang - 2020 - Complexity 2020:1-13.
    The current paper studies guaranteed cost time-varying formation tracking design and analysis problems of high-order swarm systems subject to intermittent communications. Different from the existing work of the time-varying formation control, the time-varying formation tracking can be achieved while certain performance can be guaranteed, and the impacts of the intermittent communications and switching topologies are considered. First, a new intermittent time-varying formation tracking control protocol with a global performance index is proposed, where not only the formation regulation performances but also (...)
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  • Disturbance Observer-Based Robust Formation-Containment of Discrete-Time Multiagent Systems with Exogenous Disturbances.Chengjie Xu, Bofan Li & Yi Yuan - 2021 - Complexity 2021:1-11.
    This paper investigates robust formation-containment control of discrete-time multiagent systems with exogenous disturbances. Based on the discrete-time disturbance observer method, both state feedback and output feedback control protocols are proposed. Formation-containment conditions are obtained and convergency analysis is given according to Lyapunov stability theory. And, the corresponding control gains are obtained by solving some discrete-time algebraic Riccati equations. Numerical simulations are presented to illustrate the theoretical findings.
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  • Intermittent Time-Varying Formation Control for High-Order Networked Agents Subject to Discontinuous Communications.Lixin Wang, Zhe Luo, Xiaoqiang Li, Xinsan Li & Xiaogang Yang - 2021 - Complexity 2021:1-14.
    This paper investigates the leaderless and leader-follower time-varying formation design and analysis problems for a group of networked agents subject to discontinuous communications. Firstly, a leaderless time-varying formation control protocol is proposed via the intermittent control strategy, where the control input of each agent is constructed by the distributed local state information and formation instructions in the communication time unit, but it is zero in the noncommunication time unit. Then, an explicit formulation of the formation center function is determined to (...)
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  • Energy-Limited Time-Varying Formation Control for Second-Order Multiagent Systems.Wanzhen Quan, Yulong Zhao & Xiaogang le WangYang - 2020 - Complexity 2020:1-15.
    The energy-limited time-varying formation control problem of second-order multiagent systems is addressed for both leaderless and leader-following communication topologies in this paper. Different from the previous results, the joint consideration of energy limitation and formation design is more challenging and practical. First, an ETVF control protocol is presented, and the total energy supply is pregiven and limited, which is more common in practical applications. Then, by an orthogonal transformation, the formation control problem is converted into the consensus stabilization problem for (...)
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  • Optimal Control for Networked Control Systems with Markovian Packet Losses.Xiao Han, Zhijian Ji & Qingyuan Qi - 2020 - Complexity 2020:1-11.
    This paper is concerned with the optimal output feedback control problem for networked control systems with Markovian packet losses. In this paper, the packet losses occur both between the sensor and controller and between the controller and actuator. Moreover, the packet loss channels are described with two-state Markov chains. Since the precise state information cannot be obtained, thus an optimal recursive estimator is designed. Furthermore, by adopting the dynamic programming approach, we derive the optimal output feedback control, which is based (...)
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