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| 1 | Networked Control Systems:A Survey of Trends and Techniques显示文摘Networked control systems are spatially distributed systems in which the communication between sensors, actuators,and controllers occurs through a shared band-limited digital communication network. Several advantages of the network architectures include reduced system wiring, plug and play devices,increased system agility, and ease of system diagnosis and maintenance. Consequently, networked control is the current trend for industrial automation and has ever-increasing applications in a wide range of areas, such as smart grids, manufacturing systems,process control, automobiles, automated highway systems, and unmanned aerial vehicles. The modelling, analysis, and control of networked control systems have received considerable attention in the last two decades. The ‘control over networks’ is one of the key research directions for networked control systems. This paper aims at presenting a survey of trends and techniques in networked control systems from the perspective of ‘control over networks’, providing a snapshot of five control issues: sampled-data control, quantization control, networked control, event-triggered control, and security control. Some challenging issues are suggested to direct the future research. | Xian-Ming Zhang Qing-Long Han Xiaohua Ge Derui Ding Lei Ding Dong Yue Chen Peng | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，1： | 25 |
| 2 | Neural-Network-Based Control for Discrete-Time Nonlinear Systems with Input Saturation Under Stochastic Communication Protocol显示文摘In this paper,an adaptive dynamic programming(ADP)strategy is investigated for discrete-time nonlinear systems with unknown nonlinear dynamics subject to input saturation.To save the communication resources between the controller and the actuators,stochastic communication protocols(SCPs)are adopted to schedule the control signal,and therefore the closed-loop system is essentially a protocol-induced switching system.A neural network(NN)-based identifier with a robust term is exploited for approximating the unknown nonlinear system,and a set of switch-based updating rules with an additional tunable parameter of NN weights are developed with the help of the gradient descent.By virtue of a novel Lyapunov function,a sufficient condition is proposed to achieve the stability of both system identification errors and the update dynamics of NN weights.Then,a value iterative ADP algorithm in an offline way is proposed to solve the optimal control of protocol-induced switching systems with saturation constraints,and the convergence is profoundly discussed in light of mathematical induction.Furthermore,an actor-critic NN scheme is developed to approximate the control law and the proposed performance index function in the framework of ADP,and the stability of the closed-loop system is analyzed in view of the Lyapunov theory.Finally,the numerical simulation results are presented to demonstrate the effectiveness of the proposed control scheme. | Xueli Wang Derui Ding Hongli Dong Xian-Ming Zhang | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，4： | 5 |
| 3 | Dynamic Event-Triggered Scheduling and Platooning Control Co-Design for Automated Vehicles Over Vehicular Ad-Hoc Networks显示文摘This paper deals with the co-design problem of event-triggered communication scheduling and platooning control over vehicular ad-hoc networks(VANETs)subject to finite communication resource.First,a unified model is presented to describe the coordinated platoon behavior of leader-follower vehicles in the simultaneous presence of unknown external disturbances and an unknown leader control input.Under such a platoon model,the central aim is to achieve robust platoon formation tracking with desired inter-vehicle spacing and same velocities and accelerations guided by the leader,while attaining improved communication efficiency.Toward this aim,a novel bandwidth-aware dynamic event-triggered scheduling mechanism is developed.One salient feature of the scheduling mechanism is that the threshold parameter in the triggering law is dynamically adjusted over time based on both vehicular state variations and bandwidth status.Then,a sufficient condition for platoon control system stability and performance analysis as well as a co-design criterion of the admissible event-triggered platooning control law and the desired scheduling mechanism are derived.Finally,simulation results are provided to substantiate the effectiveness and merits of the proposed co-design approach for guaranteeing a trade-off between robust platooning control performance and communication efficiency. | Xiaohua Ge Shunyuan Xiao Qing-Long Han Xian-Ming Zhang Derui Ding | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，1： | 5 |
| 4 | Consensus Control of Multi-Agent Systems Using Fault-Estimation-in-the-Loop:Dynamic Event-Triggered Case显示文摘The paper develops a novel framework of consensus control with fault-estimation-in-the-loop for multi-agent systems(MASs)in the presence of faults.A dynamic event-triggered protocol(DETP)by adding an auxiliary variable is utilized to improve the utilization of communication resources.First,a novel estimator with a noise bias is put forward to estimate the existed fault and then a consensus controller with fault compensation(FC)is adopted to realize the demand of reliability and safety of addressed MASs.Subsequently,a novel consensus control framework with fault-estimation-in-the-loop is developed to achieve the predetermined consensus performance with the l_(2)-l_(∞)constraint by employing the variance analysis and the Lyapunov stability approaches.Furthermore,the desired estimator and controller gains are obtained in light of the solution to an algebraic matrix equation and a linear matrix inequality in a recursive way,respectively.Finally,a simulation result is employed to verify the usefulness of the proposed design framework. | Yamei Ju Derui Ding Xiao He Qing-Long Han Guoliang Wei | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，8： | 4 |
| 5 | Dynamic Event-triggered Control and Estimation: A Survey显示文摘The efficient utilization of computation and communication resources became a critical design issue in a wide range of networked systems due to the finite computation and processing capabilities of system components(e.g., sensor, controller) and shared network bandwidth. Event-triggered mechanisms(ETMs) are regarded as a major paradigm shift in resource-constrained applications compared to the classical time-triggered mechanisms, which allows a trade-off to be achieved between desired control/estimation performance and improved resource efficiency. In recent years, dynamic event-triggered mechanisms(DETMs) are emerging as a promising enabler to fulfill more resource-efficient and flexible design requirements. This paper provides a comprehensive review of the latest developments in dynamic event-triggered control and estimation for networked systems. Firstly, a unified event-triggered control and estimation framework is established, which empowers several fundamental issues associated with the construction and implementation of the desired ETM and controller/estimator to be systematically investigated. Secondly, the motivations of DETMs and their main features and benefits are outlined. Then, two typical classes of DETMs based on auxiliary dynamic variables(ADVs) and dynamic threshold parameters(DTPs) are elaborated. In addition, the main techniques of constructing ADVs and DTPs are classified, and their corresponding analysis and design methods are discussed. Furthermore, three application examples are provided to evaluate different ETMs and verify how and under what conditions DETMs are superior to their static and periodic counterparts. Finally, several challenging issues are envisioned to direct the future research. | Xiaohua Ge Qing-Long Han Xian-Ming Zhang Derui Ding | 2021 | International Journal of Automation and computing2021，18，6： | 1 |
| 6 | Fuzzy Set-Membership Filtering for Discrete-Time Nonlinear Systems显示文摘In this article,the problem of state estimation is addressed for discrete-time nonlinear systems subject to additive unknown-but-bounded noises by using fuzzy set-membership filtering.First,an improved T-S fuzzy model is introduced to achieve highly accurate approximation via an affine model under each fuzzy rule.Then,compared to traditional prediction-based ones,two types of fuzzy set-membership filters are proposed to effectively improve filtering performance,where the structure of both filters consists of two parts:prediction and filtering.Under the locally Lipschitz continuous condition of membership functions,unknown membership values in the estimation error system can be treated as multiplicative noises with respect to the estimation error.Real-time recursive algorithms are given to find the minimal ellipsoid containing the true state.Finally,the proposed optimization approaches are validated via numerical simulations of a one-dimensional and a three-dimensional discrete-time nonlinear systems. | Jingyang Mao Xiangyu Meng Derui Ding | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，6： | 1 |
| 7 | Adaptive event-triggered state estimation for large-scale systems subject to deception attacks显示文摘This paper addresses state estimation issues of large-scale systems with measurements subject to deception attacks,where the communication topology among sub-estimators is the same as the physical coupling structure of the subsystems.In consideration of the limited channel bandwidth,a novel adaptive event-triggered scheme is proposed for governing the data transmission among sub-estimators.With the help of Lyapunov analysis approaches,sufficient conditions are derived to ensure the input-to-state stability of the dynamics of estimation errors.Meanwhile,the bound of the estimation errors is obtained in the mean-square sense.The desired estimator parameters are presented in an analytical form dependent on the solution of a set of matrix inequalities.The developed scheme is related to the local information of the subsystems and thus satisfies the requirement of scalability.Finally,a simulation example of power systems is given to reveal the usefulness and effectiveness of the developed design scheme. | Hanchen XIAO Derui DING Hongli DONG Guoliang WEI | 2022 | Science China(Information Sciences)2022，65，2： | 1 |
| 8 | H- infinity consensus control for multi-agent systems with missing measurements: The finite-horizon ease 显示文摘 | Wang Zidong Ding Derui Dong Mongli | 2013 | Systems and Control Letters2013，62，1： | 1 |
| 9 | Secure control and filtering for industrial metaverse显示文摘Metaverse can be regarded as a socialized and virtualized cyberspace parallel yet interactive to the real world.Benefiting from the rapid development of cloud computing and digital twins,metaverse is transforming traditional control and filtering para‐digms of industrial automation systems into cyberphysical social systems.Under this scenario,future industrial automation systems could be an integration of real-world ones and virtual twins combined with great computational power within a certain temporal and spatial range. | Qing-Long HAN Derui DING Xiaohua GE | 2024 | Frontiers of Information Technology & Electronic Engineering2024，25，2： | 0 |
| 10 | Communication Resource-Efficient Vehicle Platooning Control With Various Spacing Policies显示文摘Platooning represents one of the key features that connected automated vehicles may possess as it allows multiple automated vehicles to be maneuvered cooperatively with small headways on roads. However, a critical challenge in accomplishing automated vehicle platoons is to deal with the effects of intermittent and sporadic vehicle-to-vehicle data transmissions caused by limited wireless communication resources. This paper addresses the co-design problem of dynamic event-triggered communication scheduling and cooperative adaptive cruise control for a convoy of automated vehicles with diverse spacing policies. The central aim is to achieve automated vehicle platooning under various gap references with desired platoon stability and spacing performance requirements, while simultaneously improving communication efficiency. Toward this aim, a dynamic event-triggered scheduling mechanism is developed such that the intervehicle data transmissions are scheduled dynamically and efficiently over time. Then, a tractable co-design criterion on the existence of both the admissible event-driven cooperative adaptive cruise control law and the desired scheduling mechanism is derived. Finally, comparative simulation results are presented to substantiate the effectiveness and merits of the obtained results. | Xiaohua Ge Qing-Long Han Xian-Ming Zhang Derui Ding | 2024 | IEEE/CAA Journal of Automatica Sinica2024，11，2： | 0 |
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