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7th International Conference on MEMS, NANO and Smart systems (ICMENS 2011)

作者： Chen Zai-ping Xu Hong-qiao Tianjin Univ Technol Tianjin Key Lab Control Theory & Applicat Complic Sch Elect Engn Tianjin Peoples R China

ISBN: (纸本)9783037853122

In this paper classic static and dynamic scheduling strategy is analyzed first, and then communication network of schedule ability judgment basis is given. An improved dynamic EDF scheduling algorithm is proposed in order to improve the scheduling task of real-time. The scheduling strategy is to change task priority according to the transmission error over deadline task when applying dynamic EDF scheduling strategy. True Time tool is used to build CAN network control system simulation platform. Dynamic EDF scheduling algorithm and improved scheduling algorithm are simulated respectively. The effectiveness of improved scheduling algorithm is verified by the simulation

关键词： network control system Scheduling Algorithm True Time toolbox

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Multirate control of nonlinear robotic manipulators with network structure under bounded disturbances

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JOURNAL OF VIBRATION AND control 2019年第18期25卷 2523-2533页

作者： Ebli, H. Ghasemzadeh Nekoui, Mohammad Ali Islamic Azad Univ South Tehran Branch Dept Elect Engn Tehran Iran KN Toosi Univ Technol Dept Elect Engn Tehran Iran

This paper investigates a novel nonlinear multirate controller for robotic manipulators exposed to communication constraints and external disturbances. An improved tracking control methodology using an estimated discrete-time model of the robot is presented in this paper. The input-to-state stability of the sampled-data dynamics of the robot is preserved for both single-rate and multirate samplings. The obtained outcomes demonstrate that the sampled-data structure can stabilize the robotic manipulator when the continuous-time controller is not valid in the presence of communication networks. The output sampled measures of the robot provide piecewise signals for the controller, and the input to the plant results from a time-driven zero order hold device. In this paper, the discontinuous Lyapunov-based method is proposed to reject time variant and bounded disturbances. This is a novel controller design that can lead to the exact trajectory following without having details of the nonlinear dynamics of the robot. The main target is improving the accuracy of tracking ability of the robot manipulator to follow a reference input affected by constant bounded disturbances. Simulation results performed on a two degrees of freedom manipulator indicate that under proper assumptions, accurate trajectory tracking, and disturbance rejection at the input can be obtained by using the proposed structure. The example also demonstrates that the proposed multirate controller can successfully stabilize the robotic system.

关键词： Multirate control robotic manipulator network control system disturbances Lyapunov-based control

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Stability of Cloud-Based UAV systems Supporting Big Data Acquisition and Processing

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IEEE TRANSACTIONS ON CLOUD COMPUTING 2019年第3期7卷 866-877页

作者： Luo, Feng Jiang, Chunxiao Yu, Shui Wang, Jingjing Li, Yipeng Ren, Yong Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China China Elect Equipment Syst Engn Inst Beijing 100141 Peoples R China Tsinghua Univ Tsinghua Space Ctr Beijing 100084 Peoples R China Tsinghua Univ Dept Automat Beijing 100084 Peoples R China Deakin Univ Sch Informat Technol Burwood Vic 3125 Australia

Unmanned Aerial Vehicle (UAV) technology has been widely applied in both military and civilian applications. Recent researches on UAV systems feature in the dramatic augment of the variety and number of equipped sensors, which results in such an issue that multiple UAVs cannot afford to handle the big data generated by a range of sensors in the air. Considering this practical problem, in this paper, we propose a cloud-based UAV system which incorporates the computing capability of the terrestrial cloud into the UAV systems. Relying on proposed cloud-based UAV system, one critical theoretic issue is how to acquire the big data generated by the sensors while guaranteeing a stable operation state of the system. First, we analyze the cloud-based system's on-demand service ability as well as its impact on UAVs' control procedure. Second, the UAV cloud control system is modeled as a network control system. Moreover, the stable condition of the UAV cloud control system is derived, which reveals the relationship between the acquisition rate of sensor data and the stability of the cloud-based UAV system. Finally, simulations are conducted to verify the effectiveness of our theoretical analysis.

关键词： Cloud-based UAV system cloud computing queueing theory response time analysis network control system

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Flatness-based control approach to networked control under sensor delaysInspec keywordsOther keywords

IET COLLABORATIVE INTELLIGENT MANUFACTURING

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IET COLLABORATIVE INTELLIGENT MANUFACTURING 2019年第2期1卷 39-47页

作者： Rigatos, Gerasimos Ind Syst Inst Unit Ind Automat Rion 26504 Greece

A new control method based on differential flatness theory is developed in this article, aiming at solving the problem of networked control under sensor delays. A sensor network comprising N sensors and N control inputs is considered. Time delays between the control inputs and the system's outputs (sensor readings) are taken into account. Using the principle of dynamic extension, which means that by considering certain control inputs and their derivatives as additional state variables, a state-space description for the networked control system is obtained. It is proven that the dynamic model of the networked control system is a differentially flat one. This enables its transformation into a linear canonical and decoupled form, for which the design of a stabilising feedback controller becomes possible. The proposed feedback controller is of proven stability and assures fast and accurate tracking of the reference setpoints by the outputs of the network control system. Moreover, by using a Kalman-filter-based disturbances' estimator, it becomes possible to estimate in real time and compensate for parametric uncertainty, external perturbation inputs, and variation in sensor delays that may appear in the networked control system.

关键词： stability feedback Kalman filters control system synthesis delays state-space methods networked control systems sensor delays networked control system flatness-based control approach network control system sensor network differential flatness theory time delays system outputs dynamic extension principle state variables state-space description dynamic model linear canonical form decoupled form reference setpoints Kalman-filter-based disturbance estimator parametric uncertainty external perturbation inputs stabilising feedback controller design

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A Neural network-based Approach for Detection of Time Delay Switch Attack on networked control systems

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Procedia Computer Science 2020年 168卷 279-288页

作者： Alireza Abbasspour Arman Sargolzaei Mauro Victorio Navid Khoshavi Department of Electrical and Computer Engineering Florida International University Miami FL USA Department of Electrical and Computer Engineering Florida Polytechnic University Lakeland FL USA Department of Computer Science Florida Polytechnic University Lakeland FL USA

Recent improvements in communications have led to the proliferation of networked control systems (NCSs). NCSs are used to increase the efficiency and reliability of these systems. However, these connectivities between agents, sensors, and centralized controllers expose NCSs to a range of faults, failures, delays, and cyber-attacks. Detection of intelligent and new types of attacks such as time delay switched (TDS) attacks is a crucial task in the design of NCSs. The injection of the TDS attack to NCSs has the potential to provoke inefficiency or even cause instability in these systems. The TDS or delay signal attack influences the system by introducing a random delay in the process of transmitting and receiving packets. Due to the connectivity between agents, especially in distributed power grids, the injection of a TDS attack on one agent can propagate to others, which can lead to catastrophic consequences. This paper uses a neural networked-based detection algorithm to estimate the TDS attack in real-time. The performance of the proposed TDS attack detection and estimation are evaluated through simulation for two area power systems.

关键词： Time delay switch attack network control system neural networks load frequency control attack detection

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Fuzzy Self-adjusting PID controller based network control system

Fuzzy Self-adjusting PID Controller based Network Control Sy...

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24th Chinese control and Decision Conference (CCDC)

作者： Zhang Ju Gong Junqiang Zhang Haihua Zhejiang Univ Technol Coll Informat Engn Hangzhou 310032 Zhejiang Peoples R China

ISBN: (纸本)9781457720727

For the existence of interference in network control system, by considering both error and error difference, a fuzzy self-adjusting PID controller based network control system is presented in this paper. In order to correspond with the practical requirements, according to the system error and error difference, the algorithm uses the principle of fuzzy to adjust PID parameters. Finally, True Time Toolbox is used to model the NCS which contains a fuzzy PID controller. we compared it with conventional PID controller. Simulation results show that, in comparison to the conventional PID controller, the proposed fuzzy PID controller provides better robustness and anti-jamming capability in the same bandwidth occupied network.

关键词： network control system fuzzy control PID controller TrueTime

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Model of the Technical Dia&gnostics Process and control of the Functional Subsystem of the Telecommunications network

Model of the Technical Dia&gnostics Process and Control of t...

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Wave Electronics and its Application in Information and Telecommunication systems (WECONF)

作者： M. A. Saharova S. P. Prisyazhniuk A. K. Kanaev E. V. Oparin CJSC «Institute of telecommunications» Emperor Alexander I St. Petersburg state transport university Saint-Petersburg Russia ITMO University Saint-Petersburg Russia Emperor Alexander I St. Petersburg state transport university Saint-Petersburg Russia

ISBN: (数字)9781728149448

ISBN: (纸本)9781728149455

The results of evaluating the probability-time characteristics of the process of functioning of the control system (CS) of the clock synchronization network (CSN) are presented. The proposed models reflect all the main States of the CS CSN functioning process. The results obtained will allow us to evaluate the performance indicators of a real CS CSN based on the statistics of its functioning, and to make a conclusion about the quality of decisions made. The resulting models are universal, differ in the completeness of state accounting, and can be applied to the CS of any CSN network, regardless of the scale and complexity.

关键词： network control system network clock network synchronization modeling UML stochastic network probability-time characteristics Telecommunication networks networked control systems Random network UML Modeling CONTAINMENT SPRAY carbon monosulfide Cesium performance indicators conditioned stimulus

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Iterative Learning control for networked Nonlinear Processes with Random Communication Delays on both Input and Output Terminals

Iterative Learning Control for Networked Nonlinear Processes...

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第31届中国过程控制会议（CPCC 2020）

作者： LIU Wen qing Lin Na CHI Rong hu School of Automation & Electronic Engineering Qingdao University of Science & Technology

This paper proposes a networked iterative learning control scheme for a class of nonlinear non-affine discretetime systems with random communication delays on both input and output terminals. First, the communicaton delayed data obeys Bernoulli-type distribution and was replaced by the data successfully captured at the concurrent sampling moment in the latest iteration. Then, based on the concepts of mathematical expectation and norm equivalence principle, the analysis demonstrates that under certain conditions the output tracking error tends to zero with the iteration increases. Finally, simulation results are given to verify the correctness of the theoretical analysis.

关键词： Iterative learning control Communication delay network control system Nonlinear non-affine system

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OBSERVATIONAL OVERSIGHT FOR UNDERSTANDING TRUST IN INTERACTIVE HUMAN AND AI systemS

OBSERVATIONAL OVERSIGHT FOR UNDERSTANDING TRUST IN INTERACTI...

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作者： Keller, Ryan P. Naval Postgraduate School

学位级别：硕士

Trust in artificial intelligence is an important field of research influencing developments such as autonomous cars, aircraft, the employment of drone swarms, and military decision aid tools. Understanding trust between humans and artificially intelligent systems will help accelerate decision-making cycles, inform better system design, and avoid automation bias or under-utilization of intelligent systems. Using the Hoff and Bashir model of trust in automation as a theoretical foundation of trust, we create a three-dimensional interface for a mobile network control system (NCS) composed of unmanned vehicles (UxV). In support of a ground team element, the NCS uses adaptive submodularity to configure a topology of network nodes that maximizes communications, sensor coverage, and network robustness. Interaction with the NCS is accomplished with a virtual reality (VR) interface by suggesting UxV positions to be evaluated by adaptive submodularity. The VR system is capable of capturing user interaction events, user positions, and total utility of the NCS as reported by adaptive submodularity. The measurements taken from the user may be analyzed post-event for potential indicators of trust development, how quickly the user learned to use the system, and if the user's ability to work with the NCS to accomplish a goal improved over time.

关键词： artificial intelligence autonomous systems intelligent systems network control system trust conditioning trust development trust in automation unmanned systems virtual environment virtual reality user interface

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Optimal sensor scheduling for two linear dynamical systems under limited resources in sensor networks

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NEUROCOMPUTING 2018年 273卷 101-110页

作者： Wang, Jie Qin, Jiahu Ma, Qichao Kang, Yu Fu, Xinxin Univ Sci & Technol China Dept Automat Hefei 230027 Anhui Peoples R China

In this paper, we aim to design the optimal transmission scheme for two Gauss-Markov systems with finite resources. The setup that only two sensor nodes were scheduled, which monitor different linear dynamical systems, respectively. Two scenarios : the sensor has abundant calculation capability and the sensor has limited calculation capability are considered. For the second scenario, considering that the optimal schedule should collected a finite sequence of previous measurements. We are able to construct a quasi-optimal schedules. Due to bandwidth limitation and transmission power restriction, the sensors cannot communicate with the remote center and send the measurement data all the times. By exploiting the estimation error covariance at the remote estimation center to describe the quality of communication, the transmission schedule problem is formulated as an optimal problem. A necessary condition for the scheduling scheme of the sensors to be optimal is provided. Based on this necessary condition, we propose an explicit optimal periodic schedule, which is rigorously proved to have a minimal estimation error at the estimation center while satisfying the transmission power and channel bandwidth constraints. Simulation examples are given at last to verify the validity of the theoretical results. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Sensor network Kalman filtering network control system Remote state estimation

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