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Observer-Based Prescribed-Time Leader-Follower Consensus for Nonlinear Multiagent Systems Under Stochastic Switching Topologies

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Journal of Systems Science & Complexity 2025年

作者： CHENG Long CHEN Xiangyong ZHAO Feng QIU Jianlong CAO Jinde School of Automation and Electrical Engineering Linyi University School of Control Science and Engineering Dalian University of Technology School of Mathematics Southeast University Purple Mountain Laboratories

This paper investigates the prescribed-time leader-follower consensus problem of secondorder multi-agent systems(MASs) with stochastic switching directed topologies. For unknown external disturbances, a prescribed-time disturbance observer is designed to accurately estimate disturbances within a prescribed time, and a fuzzy logic system(FLS) is used to approximate the unknown nonlinear functions, which reduces the conservativeness of the control scheme. The information exchange between agents is modeled using a Bernoulli random process due to various factors influencing the communication layer. Meanwhile, a prescribed-time distributed sliding mode control(SMC) scheme is designed, ensuring that the convergence time of the MASs is independent from the initial values and other parameters of the system. Finally, the effectiveness of the proposed method is verified by a real single link robot arm system.

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Aperiodically Intermittent control Approach to Finite-Time Synchronization of Delayed Inertial Memristive Neural Networks

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第4期6卷 1014-1023页

作者： Jiang, Yuxin Zhu, Song Shen, Mouquan Wen, Shiping Mu, Chaoxu School of Mathematics Xuzhou221116 China Nanjing Technology University College of Electrical Engineering and Control Science Nanjing211816 China University of Technology Sydney Centre for Artificial Intelligence UltimoNSW2007 Australia Tianjin University School of Electrical and Automation Engineering Tianjin300072 China

This article investigates the finite-time synchronization (FTS) for inertial memristive neural networks (IMNNs) with time-delays by the aperiodically intermittent control approach. Compared with the reduced-order method utilized in the existing literature, this article considers the FTS of delayed IMNNs directly without order reduction. First, the error IMNNs with time-delays is designed through the theories of set-valued mappings and differential inclusions, and its finite-time stability problem is discussed by applying the finite-time stability theorem. Furthermore, by constructing nonperiodic intermittent state-feedback controller and nonperiodic intermittent adaptive control strategy, the sufficient criteria to ensure the FTS of the master-slave delayed IMNNs are derived, and the settling times are explicitly estimated. Finally, a simulation to confirm the availability of results is provided. © 2020 IEEE.

关键词： Time delay

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A Non-Iterative Network Utilization Pricing Mechanism for P2P Energy Trading

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1301-1306页

作者： Yun Liu Yunqiang Gao Yuanzheng Li Jizhong Zhu Hoay Beng Gooi School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhan 430074China School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore IEEE

To sustain operation and maintenance of an active distribution network(ADN),a network fee should be charged by the distribution network service provider(DNSP)for facilitating the P2P energy trading *** this end,this paper models the interaction among the DNSP and multiple prosumers as a Stackelberg game,and then develops a non-iterative and decentralized transactive mechanism to simultaneously achieve optimal network utilization pricing and peer-to-peer(P2P)*** results in an ADN with four prosumers connected to a common substation bus validate the effectiveness and efficiency of the proposed scheme.

关键词： Distribution network service provider network fee non-iterative peer-to-peer trading prosumer

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Unpredictability of Digital Twin for Connected Vehicles

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China Communications 2023年第2期20卷 26-45页

作者： Xiaoxu Wang Zeyin Huang Songmiao Zheng Rong Yu Miao Pan School of Automation Guangdong University of TechnologyGuangzhou 510006China Electrical and Computer Engineering Department University of HoustonHoustonTX 77004USA

Digital twin is an essential enabling technology for 6G connected *** highfidelity mobility simulation,digital twin is expected to make accurate prediction about the vehicle trajectory,and then support intelligent applications such as safety monitoring and self-driving for connected ***,it is observed that even if a digital twin model is perfectly derived,it might still fail to predict the trajectory due to tiny measurement noise or delay in the initial vehicle *** paper aims at investigating the sources of unpredictability of digital *** the car-following behaviors in connected vehicles for case *** theoretical analysis and experimental results indicate that the predictability of digital twin naturally depends on its system *** a system enters a complex pattern,its longterm states are ***,our study discloses that the complexity is determined,on the one hand,by the intrinsic factors of the target physical system such as the driver’s response sensitivity and delay,and on the other hand,by the crucial parameters of the digital twin system such as the sampling interval and twining latency.

关键词： digital twin connected vehicles unpredictability complexity

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Data-Driven Stochastic-Robust Planning for Resilient Hydrogen-Electricity System with Progressive Hedging Decoupling

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IEEE Transactions on Sustainable Energy 2024年第3期16卷 1545-1561页

作者： Wen, Ziyi Zhang, Xian Wang, Guibin Li, Yiqun Qiu, Jing Wen, Fushuan Harbin Institute of Technology Shenzhen School of Mechanical Engineering and Automation 518055 China Shenzhen University College of Mechatronics and Control Engineering Shenzhen518060 China Southeast University School of Transportation Nanjing211189 China The University of Sydney School of Electrical and Information Engineering SydneyNSW2006 Australia Zhejiang University College of Electrical Engineering Hangzhou310027 China

Given the severe damage that typhoons can inflict on power systems, it is of utmost urgency to develop proactive pre-disaster planning to enhance power system resilience and mitigate economic losses. To this end, considering the high efficiency and long-term storage capabilities of hydrogen energy, a resilience-oriented planning model of the hydrogen-electricity integrated energy system (H-EIES) is constructed in this work. In this resilience-oriented planning model, hardening power lines and constructing hydrogen-to-power stations (H2Ps) are jointly planned to reduce load shedding during typhoons. A tri-layer stochastic-robust optimization (SRO) approach is proposed to find the optimal construction strategy under uncertainties, where the first layer determines the planning strategy, the second layer identifies the worst outage contingency, and the third layer ensures the optimal operation. However, the uncertainty of typhoons presents significant challenges to the feasibility of the proposed SRO approach. Therefore, this work leverages the Wasserstein generative adversarial network with gradient penalty (WGAN-GP) and spectral clustering method to quantify the typhoon uncertainty, capturing the spatial correlations of 2-dimensional (2D) gridded wind speeds and exploring typical typhoon scenarios. Additionally, a novel nested column-and-constraint generation with progressive hedging algorithm (C&CG-PHA) is elaborately designed to solve the complex tri-layer and multi-scenario coupled optimization problem. In this developed C&CG-PHA, C&CG is employed to decouple the tri-layer planning model into a master problem and a subproblem for iterative solving, and PHA is employed to decouple the multi-scenario embedded master problem into serval scenario-independent problems to improve the solving efficiency. Validating by the real-life typhoon data, numerical experiments are carried out and indicate the economic efficiency and robustness of the proposed SRO approach, where th

关键词： Stochastic systems

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Distributed Cooperative control for Human-Unmanned Aerial Vehicle Swarm Teaming in Target Tracking∗

Distributed Cooperative Control for Human-Unmanned Aerial Ve...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： He, Hangxuan Huo, Mengzhen Duan, Haibin School of Automation Science and Electrical Engineering Beihang University Beijing100083 China School of Automation Science and Electrical Engineering Beihang University Science and Technology on Aircraft Control Laboratory Beijing100083 China

ISBN: (纸本)9781665481090

Over the last decade, the relationship between humans and cyber-physical systems has grown closer, particularly in fields such as manufacturing and transportation. This paper presents a control framework within the engineering domain, wherein a human operator collaborates with a swarm of unmanned aerial vehicles (UAVs) to achieve a shared goal. First, we construct a human-swarm mutual trust model that empowers both parties with a degree of autonomy. Second, we adopt a distributed optimization algorithm integrated with control barrier functions to manage the swarm's motion. The cooperative control framework is demonstrated in a 3D scenario, and simulation results verify the feasibility of the proposed method. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Barrier Function-Based Backstepping Fractional-Order Sliding Mode control for Quad-Rotor Unmanned Aerial Vehicle under External Disturbances

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IEEE Transactions on Aerospace and Electronic Systems 2024年第1期60卷 716-728页

作者： Liu, Bowen Wang, Yingxun Mofid, Omid Mobayen, Saleh Khooban, Mohammad Hassan Beihang University School of Automation Science and Electrical Engineering Beijing100191 China University of Zanjan Department of Electrical Engineering Zanjan45371-38791 Iran National Yunlin University of Science and Technology Graduate School of Intelligent Data Science Douliou64002 Taiwan Aarhus University Department of Electrical and Computer Engineering Aarhus8200 Denmark

The main control objective for the quad-rotor system is the attitude and position tracking control which is accomplished in this article using the backstepping fractional-order sliding mode control approach combined with the adaptive tuning based barrier function theory. The quad-rotor's dynamical model is obtained at the appearance of the disturbance that is entered to the quad-rotor system by an exterior force. Hence, the attitude and position tracking errors between the quad-rotor's actual states and their desired trajectory are defined. Afterward, the fractional-order sliding surfaces are defined to guarantee finite-time reachability of the defined tracking error. The designed fractional-order surface eases the control process due to the removal of the high-derivative of virtual controllers. Then, the extended adaptive barrier function laws named fractional-order-based adaptive barrier function laws are employed to eliminate the knowledge of the upper bounds of external disturbances. The Lyapunov theory concept mixed with the backstepping control strategy is used to demonstrate that the fractional-order sliding surface reaches the neighborhood of origin in the finite time. Finally, simulation results in various scenarios on the MATLAB/ Simulink environment are provided to show that the designed control procedure in this article is an efficient control technique to assure that attitude and position's trajectories of the quad-rotor system track desired trajectories properly in the existence of the external disturbances. Moreover, the designed method is compared to the existing method to validate the efficiency of the proposed method. Lastly, experimental results using the Speedgoat real-time target machine is implemented to assure validity of the recommended method. © 1965-2011 IEEE.

关键词： Backstepping

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Performance-Guaranteed Finite-Time Tracking of Strict-Feedback Systems with Unknown control Directions: A Novel Switching Mechanism

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IEEE Transactions on Automatic control 2025年第6期70卷 4061-4068页

作者： Mao, Bing Wu, Xiaoqun Fan, Ziye Lu, Jinhu Chen, Guanrong Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China Wuhan University School of Mathematics and Statistics Hubei430072 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China City University of Hong Kong Department of Electrical Engineering Hong Kong Hong Kong

The problem of achieving performance-guaranteed finite-time exact tracking for uncertain strict-feedback nonlinear systems with unknown control directions is addressed. A novel logic switching mechanism with monitoring functions is designed to deal with unknown control directions. This approach is different from existing methods like the Nussbaum gain technique and smooth orientation functions, which are inapplicable to finite-time exact tracking. The main challenge lies in designing monitoring functions and determining switching rules, which is well resolved through three steps. Most significantly, in contrast to existing works that solely guarantee bounded tracking or asymptotic exact tracking, the new mechanism incorporates novel integral sliding mode techniques to achieve finite-time exact tracking with guaranteed performance. Finally, simulations are presented with comparison to demonstrate the effectiveness of the proposed methods. © 1963-2012 IEEE.

关键词： Feedback

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Improvement of polypropylene/silicone rubber interface by insulating oils with pressure optimization

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IEEE Transactions on Dielectrics and electrical Insulation 2025年第3期32卷 1289-1296页

作者： Luo, Zhaorui Chu, Jincheng Wang, Liyan Lu, Tianhe Tian, Zhengbing Li, Zhonglei Fang, Zhi Zhu, Xi Nanjing Tech University College of Electrical Engineering and Control Science Jiangsu Nanjing211816 China ZTT Cable Accessories Co. Ltd Jiangsu Nantong226010 China Tianjin University School of Electrical Automation and Information Engineering Tianjin300072 China

Cable accessory insulation system is inevitably affected by its interface states causing insulation failure. Insulating oils are often applied in the interface with a certain pressure to improve its performance, but the mismatching and degradation of polymer in insulating oils seriously affects the interface stability. This study focuses on polypropylene (PP) insulation and aims to improve its typical accessory interface with silicone rubber (SIR) by insulating oils with pressure. Results show that hydrocarbon oil has the biggest negative impact on PP with the most mass increment, more surface deposits and significant deteriorating in both mechanical and electrical properties. By contrast, appropriate absorption of Si-containing oil helps modify surface and fill initial defects of PP, promoting insulating performance. Furthermore, it is found that interface pressure is conductive to fabricate a stable PP/insulating oil/SIR structure with excellent insulating performance. However, excessive pressure causes a negative impact due to interface deformation of materials. Based on the analysis of interface microstructure and the calculation of contact stress between metal electrode and polymer, the mechanism of coupling interaction among polymer, insulating oil and external pressure is revealed. This research on the improvement of insulation interface can provide a key reference and basis for the manufacturing and optimizing of cable insulation. © 1994-2012 IEEE.

关键词： Silicone rubber

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Ultimately Bounded Output Feedback control for Networked Nonlinear Systems With Unreliable Communication Channel: A Buffer-Aided Strategy

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1566-1578页

作者： Yuhan Zhang Zidong Wang Lei Zou Yun Chen Guoping Lu the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China IEEE the Department of Computer Science Brunel UniversityUB83PHUnited Kingdom the College of Information Science and Technology Donghua UniversityShanghai 201620 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China the School of Automation Hangzhou Dianzi UniversityHangzhou 310018China the School of Electrical Engineering Nantong UniversityNantong 226019China

This paper concerns ultimately bounded output-feedback control problems for networked systems with unknown nonlinear dynamics. Sensor-to-observer signal transmission is facilitated over networks that has communication *** transmissions are carried out over an unreliable communication channel. In order to enhance the utilization rate of measurement data, a buffer-aided strategy is novelly employed to store historical measurements when communication networks are inaccessible. Using the neural network technique, a novel observer-based controller is introduced to address effects of signal transmission behaviors and unknown nonlinear *** the application of stochastic analysis and Lyapunov stability, a joint framework is constructed for analyzing resultant system performance under the introduced controller. Subsequently, existence conditions for the desired output-feedback controller are delineated. The required parameters for the observerbased controller are then determined by resolving some specific matrix inequalities. Finally, a simulation example is showcased to confirm method efficacy.

关键词： Buffer-aided strategy neural networks nonlinear control output-feedback control unreliable communication channel

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