Article
Mathematics, Applied
Xiaofeng Ma, Jingjing Dong, Weipeng Tai, Jianping Zhou, Wojciech Paszke
Summary: This paper investigates the issue of asynchronous event-triggered control for two-dimensional Markov jump systems subject to networked random packet losses. An event-triggered strategy is given to relieve the communication pressure with independent triggering behavior in the horizontal and vertical directions. The paper establishes a sufficient condition to ensure stochastic stability and H-infinity performance and proposes a method for designing an asynchronous event-triggered controller.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Automation & Control Systems
Masoud Bahraini, Mario Zanon, Paolo Falcone, Alessandro Colombo
Summary: This article discusses the effect of communication channel impairments on stability and performance in networked control systems. It proposes methods for scheduling limited communication resources to ensure robustness and constraint satisfaction for each system while improving performance and compensating for packet losses.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Mingang Hua, Fan Zhang, Feiqi Deng, Juntao Fei, Hua Chen
Summary: This article focuses on the issue of mixed H2/Hoo state feedback control for discrete-time periodic Markov jump systems with quantization effects and packet loss compensation. A new packet loss compensation strategy is proposed using single exponential smoothing method to predict the lost data. A periodic controller with partially mode-dependent property is designed to ensure system stochastic stability and predefined mixed H2/Hoo performance. The validity of the approach is verified through a practical example.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2023)
Article
Automation & Control Systems
Wenli Chen, Xiaojian Li
Summary: This paper investigates data-driven control for networked control systems with multiple packet dropouts and unknown system parameters. The paper establishes a model-based mean-square asymptotic stability condition and a data-driven mean-square asymptotic stability condition for the closed-loop system. Additionally, it presents data-driven controller gain design approaches for combining unknown and known input gain matrices. Two simulation examples are provided to demonstrate the applicability of the developed approaches.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Zhidong Zhou, Yuyan Wu, Jun Cheng, Yunliang Wang
Summary: In this article, the distributed-based filtering problem is studied for a type of Markov jump system subject to mode-dependent random packet losses. Transition probabilities on polytopic-structure-based are introduced to describe the nonhomogeneous Markov process. Packet loss compensation is provided using the single exponential smoothing technique, and a partially mode-dependent filter is established to deal with the prediction value of the missing output. By utilizing the Lyapunov theory, sufficient conditions for the stochastic stability of the filtering error system are obtained, and the filter parameters can be derived. The presented results are tested through a numerical example.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Automation & Control Systems
Mohsen Bahreini, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif
Summary: This study introduces a comprehensive model to model actuator faults and proposes a novel fault-tolerant control strategy for networked control systems. By using a Markov chain to represent network-induced issues, the study derives sufficient conditions for stochastic stability through linear matrix inequalities, designing a robust FTC that requires only output feedback.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Min Xue, Huaicheng Yan, Hao Zhang, Hao Shen, Peng Shi
Summary: This paper addresses the dissipativity-based filtering problem for a class of discrete-time Markov jump systems with mode-dependent time-varying delays and random packet losses. The phenomenon of packet losses is characterized by introducing a random variable, and compensation for lost packets is made using the single exponential smoothing method. A partially mode-dependent filter is established, and novel sufficient conditions are obtained using a mode-dependent Lyapunov-Krasovskii functional.
Article
Automation & Control Systems
Hao-Yuan Sun, Hong-Gui Han, Jian Sun, Jun-Fei Qiao
Summary: This paper investigates the observer-based sampled-data control problem for networked systems with consecutive packet dropouts. A new consecutive packet dropout model is established to describe the phenomenon of packet dropout in both the sensor-controller (S-C) and controller-actuator (C-A) channels. The effectiveness of the proposed observer-based sampled-data control approach is verified using a numerical example, and the advantages of the proposed approach are validated through comparisons.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Mathematics
Fan Zhang, Mingang Hua, Mengyu Gao
Summary: This paper studies the design of a dynamic output feedback controller for a networked control system with dual-channel data packet loss and special discrete-time delay, where the data packet loss is described by the Markov process. To effectively alleviate network congestion, a quantizer was added to the sensor-to-controller channel. The transition probabilities of the Markov process are uncertain but exist in the convex sets of known convex polyhedron types. Mode-dependent Lyapunov function was constructed, and a sufficient condition was given to ensure the stochastic stability and performance index satisfaction of the closed-loop system. The controller parameters were solved using the linear matrix inequality method. Finally, an aircraft example demonstrates the effectiveness of the proposed approach, and a numerical example shows its superiority compared to other literature.
Article
Engineering, Electrical & Electronic
Huiying Chen, Renwei Liu, Ping He, Zuxin Li
Summary: This paper focuses on the asynchronous dissipative control of networked time-delay Markov jump systems using an event-triggered transmission scheme and the Bernoulli model to describe packet dropout during communication. By using a mode-dependent Lyapunov-Krasovskii function, a sufficient condition for the stochastic stability and strict (mu, theta, nu)-gamma-dissipativity of the closed-loop control system is obtained. Furthermore, the design of the dissipative controller is simplified using matrix scaling and slack matrix techniques. The effectiveness of the proposed design method is verified using a robotic arm system as an example.
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
(2022)
Article
Engineering, Electrical & Electronic
Hui Shang, Guangdeng Zong, Wenhai Qi
Summary: In this study, a security control method for networked discrete-time semi-Markov jump systems is investigated, taking into account deception attacks and round-robin protocol. By establishing an observer-based security control scheme and designing controller and observer parameters using linear matrix inequalities, the mean-square stability of the system with o-error is ensured. Theoretical results are validated using a F-404 aircraft engine model.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Mathematics, Interdisciplinary Applications
Pang Zhonghua, Bai Chuandong, Liu Guoping, Han Qinglong, Zhang Xianming
Summary: This paper presents a novel observer-based predictive control method for networked systems, considering random delays and packet losses. The proposed method introduces the concept of destination-based lumped delay, designs different compensation schemes for feedback and forward channels, and uses actual control inputs to generate future control signals. The stability condition derived is less conservative and independent of random communication constraints in both channels. Simulation results demonstrate the effectiveness of the method.
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
(2021)
Article
Computer Science, Artificial Intelligence
Xiaobin Gao, Feiqi Deng, Pengyu Zeng, Hongyang Zhang
Summary: This article investigates the neural network-based event-triggered control problem in discrete-time networked Markov jump systems with hybrid cyberattacks and unmeasured states. The event-triggered mechanism and Luenberger observer are employed to reduce communication load and estimate unmeasured states. Different types of cyberattacks are considered, and the control methods are designed accordingly. The gains for the observer and controller are obtained by solving a set of matrix inequalities.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Thao H. T. Truong, Peter Seiler, Lauren E. Linderman
Summary: This study examines the analysis of networked structural control systems with measurement loss. A sampled-data system is used to integrate the discrete-time operation of the controller with a fast-sampling approximation of the continuous-time structural dynamics. An H-2-norm analysis is proposed to assess the stability and performance of the structural control, with a three-story building model serving as an example.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Automation & Control Systems
Min Xue, Huaicheng Yan, Hao Zhang, Meng Wang, Dan Zhang
Summary: This paper focuses on the compensation scheme for Markov jump systems, where a novel compensation strategy is proposed using single exponential smoothing technique and an asynchronous output feedback tracking controller is designed for stability and dissipativity of the tracking error system.
Article
Automation & Control Systems
Yi Yu, Guo-Ping Liu, Xingwei Zhou, Wenshan Hu
Summary: This article presents a novel blockchain technology-assisted networked predictive secure control approach to enhance the security and stability of networked control systems (NCSs). By introducing blockchain technology and designing networked predictive control, the issues of real-time performance and security in NCSs are addressed.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Zhong-Hua Pang, Cheng-Gang Xia, Ji Zhang, Qing-Long Han, Guo-Ping Liu
Summary: This brief introduces a networked model predictive control (MPC) strategy for the finite-time convergence of networked control systems with two-channel random communication constraints. It transforms network-induced delays and packet dropouts into equivalent delays in each channel, which are actively compensated in the controller and actuator. By using a finite-time MPC strategy, future control inputs are obtained, and the upper bound of the convergence time is analytically determined. The proposed scheme is verified through a numerical simulation of a mass-spring-damper system.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Automation & Control Systems
Yi Yu, Guo-Ping Liu, Xiaoran Dai, Wenshan Hu
Summary: A novel coordinated control method based on multistep state predictions with active compensation of delay is proposed to address the poor dynamic consensus performance of currents in modular dc-dc converters. The method includes the design of a multistep state predictor and the optimization of the coordinating cost of currents. By minimizing a distributed coordinating performance index function, the optimal control protocol is derived to minimize the consensus error between output currents and compensate for communication constraints. The performance of the proposed scheme is verified through case studies in an experimental testbed.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Chuan-Dong Bai, Tong Mu, Zhong-Hua Pang, Jian Sun, Guo-Ping Liu
Summary: In this paper, a novel networked predictive control (NPC) method is proposed to compensate for the random communication constraints in a networked control system. The method handles the two-channel communication constraints separately based on their different features and uses actual control inputs instead of predicted ones. The proposed method achieves the same output tracking performance as the corresponding local control system and is validated by simulation and experimental results.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Automation & Control Systems
Cui-Qin Ma, Tian-Ya Liu, Yu Kang, Yun-Bo Zhao
Summary: This paper investigates the leader-following cluster consensus problem for multiagent systems with weighted cooperative-competitive networks and measurement noise. The proposed protocols and theoretical analysis demonstrate their effectiveness in different types of networks. Numerical examples provide further evidence.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Xiaoran Dai, Guo-Ping Liu, Qijun Deng, Wenshan Hu, Pan Sun
Summary: A distributed cooperative control scheme is proposed for modular converters in ultra-large ship degaussing systems to improve magnetic stealth capability. Consensus and stability of the system are analyzed, and tailored controller design guidelines are presented. Simulation and experimentation confirm the efficacy of the control method.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Lei Cao, Da-Wei Zhang, Clara Mihaela Ionescu, Guo-Ping Liu
Summary: This paper investigates the formation consensus problem for a leader-follower networked multi-agent systems with communication constraints and switching topologies. A networked predictive control scheme is proposed to achieve stability and output formation consensus, compensating for data loss and time delays in the network. The sufficient and necessary condition of output formation consensus and stability for agents is given by equating the whole closed-loop networked multi-agent system with the proposed control scheme to the corresponding switched system. The proposed scheme is demonstrated to actively compensate for the communication constraints through numerical simulations and has a good control performance in practical experiments, realizing the formation task of the simulators.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Pengfei Li, Yu Kang, Tao Wang, Yun-Bo Zhao
Summary: This paper proposes an adaptive event-triggered model predictive control scheme based on disturbance prediction for nonlinear systems with slowly varying disturbance. The optimal control problem is formulated using a central path-based disturbance prediction approach, and the event-triggered mechanism is designed to adapt to the triggering interval. As a result, the proposed scheme improves state prediction precision and reduces triggering frequency. Additionally, disturbance separation and compensation techniques are developed for input-affine nonlinear systems to further extend the triggering interval. The theoretical analysis of algorithm feasibility, closed-loop stability, and numerical evaluations of the proposed schemes are also provided.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Da-Wei Zhang, Guo-Ping Liu
Summary: This research focuses on addressing the output tracking problem for networked high-order fully actuated systems under communication delays and external disturbances. A novel HOFA system model is applied to establish the dynamics of networked control systems, and a disturbance observer based HOFA predictive control approach is proposed. A Diophantine Equation is applied to establish an incremental HOFA prediction model, and a necessary and sufficient criterion is given to discuss the stability and tracking performance of closed-loop NHOFA systems. The availability of the proposed approach is demonstrated through simulated and experimental results.
Article
Automation & Control Systems
Chuanguo Chi, Dong Lin, Clara-Mihaela Ionescu, Guo-Ping Liu
Summary: This paper investigates the application of distributed sliding-mode cloud predictive control scheme in networked multi-agent control systems (NMACS). A sliding-mode cloud predictive control (SMCPC) scheme based on the cloud control system is designed. The scheme combines the advantages of variable structure control (VSC) of sliding-mode control (SMC) and the advantages of cloud predictive control (CPC) in handling network delays. The feasibility and applicability of the control scheme are verified through analysis and experiments.
CONTROL ENGINEERING PRACTICE
(2023)
Article
Multidisciplinary Sciences
Zhongcheng Lei, Hong Zhou, Xiaoran Dai, Wenshan Hu, Guo-Ping Liu
Summary: This paper discusses the design and implementation of a digital twin DC-DC converter for monitoring and control. The results show that the digital twin can dynamically track the converter, detect and replace faulty controllers in real time.
NATURE COMMUNICATIONS
(2023)
Article
Automation & Control Systems
Yu Kang, Tao Wang, Pengfei Li, Zhenyi Xu, Yun-Bo Zhao
Summary: This article investigates the event-triggered distributed model predictive control (DMPC) for perturbed coupled nonlinear systems subject to state and control input constraints. A novel compound event-triggered DMPC strategy is developed, which relaxes the requirement of the decrease of the Lyapunov function by checking two stability-related conditions in a parallel manner. An open-loop prediction scheme is designed to reduce triggering and transmission instants, and a constraint tightening approach is proposed to address the challenge of state constraint satisfaction caused by external disturbances and dynamical coupling influences.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Yangang Yao, Yu Kang, Yunbo Zhao, Pengfei Li, Jieqing Tan
Summary: This article presents a unified adaptive fuzzy control approach for high-order nonlinear systems with multitype state constraints. By designing a unified mapping function, the multitype state constraints are processed under removal of the feasibility conditions. The proposed algorithm ensures that the tracking error converges to a zero-centered neighborhood within a fixed time and avoids the singularity that often appears in existing fixed-time control methods.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Wei Chen, Zidong Wang, Hongli Dong, Jingfeng Mao, Guo-Ping Liu
Summary: This article discusses the privacy-preserving distributed economic dispatch problem of microgrids. A distributed optimization algorithm with a constant step size is proposed by combining decentralized exact first-order algorithm with the push-sum protocol to achieve privacy preservation. It is demonstrated through analysis that the scheme is effective in protecting privacy in various scenarios.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Shengwang Ye, Guo-Ping Liu, Wenshan Hu, Zhongcheng Lei
Summary: This article introduces an IoT-based solution to a multiagent system experimentation in NCSLab. The proposed solution offers abundant choices for MAS experiments with its compact architecture and multiple features such as online algorithm design and live video monitor. The effectiveness of the proposed controller and its configurable ability for MAS are demonstrated through web-based experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
