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International Conference on control, automation and systems ( ICCAS)

作者： Xiaojie Peng Yong He School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

This paper is concerned with the containment control problem for multi-agent systems(MASs) with time-varying delays. For the purpose of obtaining less conservative containment control criterion, an augmented Lyapunov-Krasovskii functional(LKF) considering more delay information is constructed firstly. Then by employing the Wirtinger-based integral inequality(WBII) and the extended reciprocally convex matrix inequality(ERCMI) to estimate the derivative of LKF, the delay-dependent term ignored in previous works is reconsidered. Moreover, a delay-product-type(DPT) functional based on the Jensen inequality is established to further reduce the conservatism of the outcomes. As a result, two new criteria are derived to ensure the containment consensus on the communication directed graph, the upper bound of maximum delays and feedback gains. Finally, two numerical simulations are employed to demonstrate the superiority of the theoretical results.

关键词： Upper bound control systems Numerical simulation Delays Topology Linear matrix inequalities Time-varying systems

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Stability Analysis of Discrete Networked systems with Network Induced Delay and Malicious Packet Dropout Based on a Matrix Transformation Method

Stability Analysis of Discrete Networked Systems with Networ...

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Chinese control Conference (CCC)

作者： Meng-Ying Zhou Wen-Hu Chen Chuan-Ke Zhang Ya-Xin Hou Ke-You Xie School of Automation China University of Geosciences Wuhan P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan P. R. China

This paper is concerned with the stability of discrete-time networked control systems with network induced delay and malicious packet dropout. Firstly, network induced delay and malicious packet dropout are analyzed, and the data packet dropout is converted into the change rate of time delay. Secondly, the functional of time delay and change rate of time delay is constructed, and some summation terms are generated when calculating the functional forward difference. Moreover, the auxiliary-function-based summation inequality and reciprocally convex matrix inequality are used to estimate the resulting summation terms. Then, a less conservative stability criterion for discrete networked systems with network delay and data packet loss is established. Finally, the validity of the proposed stability criterion is illustrated by a numerical example.

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control Strategy of Electrolytic Capacitor-Less Multi-port Converter for Suppressing the Influences of Low-Frequency DC-Link Current Ripple

Control Strategy of Electrolytic Capacitor-Less Multi-port C...

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Smart Power & Internet Energy systems (SPIES), International Conference on

作者： Zihong Zhang Zhijian Fang Yuangeng Xia Hanlin Dong Haojiang Yue School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

Multi-port Converter (MPC) gets growing applications due to its advantages of flexible control mode, high power density, bidirectional power delivery capability, etc. However, the inherent instantaneous power difference between each port will generate significant low frequency dc-link current ripple, which degrades the operational stability of the system. To suppress the influence, the mechanism of dc-link current ripple is analyzed. And then, a compound control strategy based on the repetitive controller (RC) plus a PR controller is adopted according to the ripple characteristics for the electrolytic Capacitor-Less Multi-port Converter. The developed current control strategy in this paper can achieve a minimum steady-state error while maintaining a relatively fast transient response. Finally, to validate the proposed strategy, a simulation is also built and tested. The simulation results validate the theoretical analysis.

关键词： Transient response Power system measurements Simulation Power system dynamics Power system stability Frequency conversion Stability analysis

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Event-Triggered control of Networked System Considering Denial of Service Attack

Event-Triggered Control of Networked System Considering Deni...

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Chinese control Conference (CCC)

作者： Ting-Wei Zhang Yu-Long Fan Chuan-Ke Zhang School of Automation Chinese University of Geosciences Wuhan P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China Ministry of Education Engineering Research Center of Intelligent Technology of Geo-Exploration Wuhan P. R. China

This paper presents an improved stability criterion and controller design scheme condition for a networked control system under denial of service (DoS) attack. Firstly, the DoS attack interval is divided into attack interval and no attack interval, therefore, a switching-like event-triggered control can be established to reduce the waste of network resources and improve network efficiency. Then, the studied system is transformed into a time-delay system, and an improved stability criterion and controller design method are established by using Lyapunov-Krasovskii functional (LKF). Finally, the effectiveness of the proposed method is verified by a simulation example.

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Group Consensus of Multi-agent systems with Additive Noises and Multiplicative Noises

Group Consensus of Multi-agent Systems with Additive Noises ...

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Chinese automation Congress (CAC)

作者： Haoxiang Qin Chuanjian Li Xiaofeng Zong School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

In this paper, we study the group consensus problem of multi-agent systems with additive noises and multiplicative noises. The multi-agent systems are composed of two sub networks affected by additive noises and multiplicative noises, respectively. A consensus protocol is designed to guarantee the group consensus. Based on this protocol, the mean square weak consensus condition and mean square strong consensus condition are obtained by algebraic graph theory and stochastic stability theory. Finally, the numerical simulations show the effectiveness of the group consensus protocol in this paper.

关键词： Additive noise Differential equations Numerical simulation Stability analysis Consensus protocol Thermal stability Numerical stability

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Design and control of a Novel 5-DoF Tilt-Rotor Quadcopter

Design and Control of a Novel 5-DoF Tilt-Rotor Quadcopter

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Chinese automation Congress (CAC)

作者： Zhenwei Lin Wei Liu Dabo Xu Key Laboratory of Autonomous Systems and Networked Control of Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou China Shien-Ming Wu School of Intelligent Engineering South China University of Technology Guangzhou China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

This paper presents a novel 5-DoF (degrees of freedom) tilt-rotor quadcopter. Compared to traditional quadcopters, the vehicle offers more DoF by adding two servo-driven mechanisms. The extra DoF allow it to move at a constant pitch angle, thus adapting it to more scenarios, such as slope landings. In addition, the proposed tilt-rotor quadcopter can generate greater torque around the z-axis of the body coordinate system. This gives it an advantage in some scenarios, such as carrying a manipulator to turn valves in the air. In this paper, we first design and model the proposed tilt-rotor quadcopter. Then, we design the controller and control allocation algorithm for the proposed tilt-rotor quadcopter. The control allocation algorithm has clear analytical solutions, which benefits its implementation and deployment. Finally, the structure and control strategy of the tilt-rotor quadcopter are validated by an experiment.

关键词： Torque automation 5-DOF Atmospheric modeling Valves Manipulators Resource management Quadrotors

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Stability Analysis for Amplidyne Electrical systems with Time-Varying Delay via a Negative-Determination Quadratic Function Lemma

Stability Analysis for Amplidyne Electrical Systems with Tim...

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Chinese control Conference (CCC)

作者： Hong-Jian Huang Hong-Zhang Wang Yu-Long Fan Ke-You Xie Chuan-Ke Zhang School of Automation China University of Geosciences Wuhan P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan P. R. China

In this paper, the stability of Amplidyne Electrical systems (AESs) with a time-varying delay is studied. Firstly, the model of AESs with a time-varying delay is established. Secondly, an augmented Lyapunov-Krasovskii functional (LKF) is constructed. Then, a less conservative delay-dependent stability criterion for AESs with a time-varying delay is obtained by utilizing the generalized reciprocally convex combination and an advanced negative-determination quadratic function lemma. Finally, the superiority and effectiveness of the proposed criterion is verified by a numerical example.

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Frequent Event Pattern Extraction of Drilling Time Series Using Change Point Detection and Event Sequence Generation

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IFAC-PapersOnLine 2023年第2期56卷 6168-6173页

作者： Yupeng Li Wenkai Hu Weihua Cao R. Bhushan Gopaluni Liang Cao Chao Gan Min Wu School of Automation China University of Geosciences Wuhan 430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan 430074 China Department of Chemical and Biological Engineering University of British Columbia Vancouver BC V6T 1Z3 Canada

In drilling processes, non-stationary phases corresponding to shifts between operating conditions and changes in downhole formations typically lead to false alarms. Extracting these frequent event patterns is critical to build drilling process monitoring and fault diagnosis models. This study aims to extract the frequent event patterns associated with non-stationary phases in drilling time series. In this way, diversified information related to signal changes under normal conditions can be obtained, which is beneficial for suppressing false alarms and improving fault detection performance. The main contributions of this study are twofold: 1) a non-stationary phase detection method is proposed to extract drilling frequent event patterns based on t -distributed stochastic neighbor embedding and relative unconstrained least-squares importance fitting; 2) an event sequence generation method is proposed to express drilling frequent event patterns with a group of symbols. The effectiveness of the proposed method is demonstrated by data from a real drilling project.

关键词： Drilling processes pattern extraction change point detection event sequence generation frequent event pattern

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Distributed Momentum-based Frank-Wolfe Algorithm for Stochastic Optimization

arXiv

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arXiv 2022年

作者： Hou, Jie Zeng, Xianlin Wang, Gang Sun, Jian Chen, Jie The Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China The School of Electronic and Information Engineering Tongji University Shanghai200082 China

—This paper considers distributed stochastic optimization, in which a number of agents cooperate to optimize a global objective function through local computations and information exchanges with neighbors over a network. Stochastic optimization problems are usually tackled by variants of projected stochastic gradient descent. However, projecting a point onto a feasible set is often expensive. The Frank-Wolfe (FW) method has well-documented merits in handling convex constraints, but existing stochastic FW algorithms are basically developed for centralized settings. In this context, the present work puts forth a distributed stochastic Frank-Wolfe solver, by judiciously combining Nesterov’s momentum and gradient tracking techniques for stochastic convex and nonconvex optimization over networks. It is shown that the convergence rate 1 of the proposed algorithm is O(k− 2) for convex optimization, and O(1/log2(k)) for nonconvex optimization. The efficacy of the algorithm is demonstrated by numerical simulations against a number of competing alternatives. Copyright © 2022, The Authors. All rights reserved.

关键词： Momentum

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Convergence Rate Analysis of Gaussian Belief Propagation for Markov Networks

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IEEE/CAA Journal of Automatica Sinica 2020年第3期7卷 668-673页

作者： Zhaorong Zhang Minyue Fu School of Electrical Engineering and Computer Science The University of Newcastle.University DriveNSW 2308Australia IEEE School of Automation Guangdong University of Technologyand Guangdong Key Laboratory of Intelligent Decision and Cooperative ControlGuangzhou 510006China

Gaussian belief propagation algorithm(GaBP) is one of the most important distributed algorithms in signal processing and statistical learning involving Markov networks. It is well known that the algorithm correctly computes marginal density functions from a high dimensional joint density function over a Markov network in a finite number of iterations when the underlying Gaussian graph is acyclic. It is also known more recently that the algorithm produces correct marginal means asymptotically for cyclic Gaussian graphs under the condition of walk summability(or generalised diagonal dominance). This paper extends this convergence result further by showing that the convergence is exponential under the generalised diagonal dominance condition,and provides a simple bound for the convergence rate. Our results are derived by combining the known walk summability approach for asymptotic convergence analysis with the control systems approach for stability analysis.

关键词： Belief propagation distributed algorithm distributed estimation Gaussian belief propagation Markov networks

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