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Adaptive Output Feedback control Using Fault Compensation and Fault Estimation for Linear System with Actuator Failure

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International Journal of Automation and computing 2013年第5期10卷 463-471页

作者： Jun Wang Hai-Long Pei Nai-Zhou Wang Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology College of Automation Science and Engineering South China University of Technology

The problem of linear systems subject to actuator faults（outage,loss of efectiveness and stuck）,parameter uncertainties and external disturbances is *** active fault compensation control law is designed which utilizes compensation in such a way that uncertainties,disturbances and the occurrence of actuator faults are account *** main idea is designing a robust adaptive output feedback controller by automatically compensating the fault dynamics to render the close-loop *** to the information from the adaptive mechanism,the updating control law is derived such that all the parameters of the unknown input signal are ***,a disturbance decoupled fault reconstruction scheme is presented to evaluate the severity of the fault and to indicate how fault accommodation should be *** advantage of fault compensation is that the dynamics caused by faults can be accommodated *** proposed design method is illustrated on a rocket fairing structural-acoustic model.

关键词： Fault compensation fault-tolerant control robust adaptive control fault reconstruction actuator failure

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Optimal control via Weighted Congestion Game with Linear Cost Functions 36

Optimal Control via Weighted Congestion Game with Linear Cos...

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第36届中国控制会议

作者： Sisi Pan Yupeng Qiao Key Laboratory of Autonomous System and Network Control College of Automation Science and EngineeringSouth China University of Technology

ISBN: (纸本)9781538629185

This paper considers the optimal control via weighted congestion game with linear cost functions. First, the weighted congestion game is converted into a matrix form for the sake of simplicity of computation. Second, a system performance criteria is proposed in order to minimize individual cost, and by designing proper parameters of linear cost functions, the given system performance criterion is converted into weighted potential function of a weighted congestion game. Then the profile dynamics is expressed into an algebraic form and potential-based stability of weighted congestion game is considered by using the Lyapunov-based approaches. Finally, an example is given to illustrate the theoretical results.

关键词： Optimal control Weighted congestion game Linear cost functions Profile dynamics Lyapunov-based approaches

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Chinese resume information extraction based on semi-structured text 36

Chinese resume information extraction based on semi-structur...

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第36届中国控制会议

作者： YAN Wentan QIAO Yupeng Key Laboratory of Autonomous System and Network Control College of Automation Science and EngineeringSouth China University of Technology

ISBN: (纸本)9781538629185

A Chinese resume information extraction system（CRIES） based on semi-structured text is designed and implemented to obtain formatted information by extracting text content of every field from resumes in different formats and update information automatically based on the ***,ideas to classify resumes,some constraints obtained by analyzing resume features and overall extraction strategy is *** two extraction algorithms for parsing resumes in different text formats are ***,the system was implemented by java ***,use the system to resolve the resume samples,and the statistical analysis and system optimization analysis are carried out according to the accuracy rate and recall rate of the extracted results.

关键词： semi-structured Chinese extraction regular expression matching

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Parameter Identification of JONSWAP Spectrum Acquired by Airborne LIDAR

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Journal of Ocean University of China 2017年第6期16卷 998-1002页

作者： YU Yang PEI Hailong XU Chengzhong Key Laboratory of Autonomous Systems and Networked Control Ministry of EducationSouth China University of Technology LAGEP Batiment CPEUniversité Claude Bernard Lyon 1

In this study, we developed the first linear Joint North Sea Wave Project(JONSWAP) spectrum(JS), which involves a transformation from the JS solution to the natural logarithmic scale. This transformation is convenient for defining the least squares function in terms of the scale and shape parameters. We identified these two wind-dependent parameters to better understand the wind effect on surface waves. Due to its efficiency and high-resolution, we employed the airborne Light Detection and Ranging(LIDAR) system for our measurements. Due to the lack of actual data, we simulated ocean waves in the MATLAB environment, which can be easily translated into industrial programming language. We utilized the Longuet-Higgin(LH) random-phase method to generate the time series of wave records and used the fast Fourier transform(FFT) technique to compute the power spectra density. After validating these procedures, we identified the JS parameters by minimizing the mean-square error of the target spectrum to that of the estimated spectrum obtained by FFT. We determined that the estimation error is relative to the amount of available wave record data. Finally, we found the inverse computation of wind factors(wind speed and wind fetch length) to be robust and sufficiently precise for wave forecasting.

关键词： JONSWAP spectrum parameter identification least square method airborne LIDAR

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Markov decision evolutionary game theoretic learning for cooperative sensing of unmanned aerial vehicles

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Science China(Technological Sciences) 2015年第8期58卷 1392-1400页

作者： SUN ChangHao DUAN HaiBin State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electronic EngineeringBeihang University Bio-inspired Autonomous Flight Systems (BAFS) Research Group Science and Technology on Aircraft Control LaboratorySchool of Automation Science and Electronic EngineeringBeihang University

As one of the major contributions of biology to competitive decision making, evolutionary game theory provides a useful tool for studying the evolution of cooperation. To achieve the optimal solution for unmanned aerial vehicles （UAVs） that are car- rying out a sensing task, this paper presents a Markov decision evolutionary game （MDEG） based learning algorithm. Each in- dividual in the algorithm follows a Markov decision strategy to maximize its payoff against the well known Tit-for-Tat strate- gy. Simulation results demonstrate that the MDEG theory based approach effectively improves the collective payoff of the roam. The proposed algorithm can not only obtain the best action sequence but also a sub-optimal Markov policy that is inde- pendent of the game duration. Furthermore, the paper also studies the emergence of cooperation in the evolution of self-regarded UAVs. The results show that it is the adaptive ability of the MDEG based approach as well as the perfect balance between revenge and forgiveness of the Tit-for-Tat strategy that the emergence of cooperation should be attributed to.

关键词： unmanned aerial vehicles （UAVs） iterated prisoner＇s dilemma （IPD） Markov decision evolutionary game （MDEG） replicator dynamics cooperation

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ADRC Combined with IMC for Non-Minimum Phase systems 42

ADRC Combined with IMC for Non-Minimum Phase Systems

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42nd Chinese control Conference, CCC 2023

作者： Li, Xiangyang Deng, Xindi Tian, Senping Ai, Wei Ministry of Education School of Automation Science and Engineering Key Laboratory of Autonomous Systems and Network Control South China University of Technology Guangzhou510641 China

ISBN: (纸本)9789887581543

The integrated control method, active disturbance rejection control (ADRC) combined with internal model control (IMC), is proposed for non-minimum phase systems. The ADRC combined with IMC is to reduce the influence of zeros on right half plant (RHP), system uncertainty and outer disturbance. An improved IMC is put in the inner loop and ADRC is adopted in the outer loop. In order to enhance the system's stability, an approximate zero phase error model of controlled plant (ZPEM) is used as the internal model in the IMC control loop where the feedback of the inner loop is the dynamic weighted filter sum of the real output and the ZPEM output. The theoretical analysis and simulations verify effectiveness of the proposed method for non-minimum phase systems. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Disturbance rejection

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Estimation of velocity potential of water waves using a Luenberger-like observer

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Science China(Information Sciences) 2020年第12期63卷 139-152页

作者： Yang YU Hai-Long PEI Cheng-Zhong XU Key Laboratory of Autonomous Systems and Networked Control Ministry of EducationSouth China University of Technology Unmanned Aerial Vehicle Systems Engineering Technology Research Center of Guangzhou South China University of Technology LAGEPP University Claude Bernard-Lyon 1

We propose a Luenberger-like observer for a water wave system. The water wave dynamics are assumed to be governed by the linearized water wave equation(LWWE). Our proposed observer estimates the velocity potential of water waves by measuring only the surface wave elevation. The information of the water-wave velocity field is then extracted from the gradient of the velocity potential. It is shown that the estimation error of the observer converges exponentially to zero as time tends to infinity. Furthermore,we numerically solve the LWWE and observer equation by the finite difference method. The efficiency of our proposed numerical scheme and the performance of the observer are validated by numerical simulation results.

关键词： linearized water wave equation LWWE Luenberger-like observer numerical simulations

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Dual Amplification DNA Reactions for Ultrasensitive Electrochemical Biomolecular Detection Using Impedimetric Biosensor

SSRN

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SSRN 2025年

作者： Yu, Chenhong Yang, Xu Yang, Bei Li, Weiying Wang, Jianbang Liu, Huajie School of Chemical Science and Engineering Shanghai Research Institute for Intelligent Autonomous Systems Key Laboratory of Advanced Civil Engineering Materials of Ministry of Education Tongji University Shanghai200092 China College of Environmental Science and Engineering Shanghai Institute of Pollution Control and Ecological Security State Key Laboratory of Pollution Control and Resource Reuse Tongji University Shanghai200092 China

Detecting biomolecules especially the disease markers, is an important issue for practical diagnosis and clinical therapies. Herein, we proposed an all-DNA hydrogel-based electrochemical impedance sensing platform for trace detection of miRNA-21 through the synergistic integration of dual amplification circuits: catalytic hairpin assembly (CHA) and clamped hybridization chain reaction (C-HCR). We designed a hairpin DNA with complementary sequences to the target miRNA-21, and the hairpin reactants in CHA were initiated to self-assemble into dsDNA products when added the target. This reaction generates numerous trigger sequences that activate the subsequent C-HCR to form DNA hydrogels on the electrode surface. The insulating DNA hydrogel film significantly enhances impedance responses, allowing us to establish a highly sensitive impedimetric biosensor for miRNA-21 analysis. Our dual signal amplification approach using DNA hydrogels as the amplification element showed higher electrochemical response, broader dynamic range (10-17-10-8 M), and lower detection limit (6.5 aM). In addition, this electrochemical impedimetric biosensor with excellent selectivity, non-destructivity, and label-free feature is suitable for practical analytes, highlighting its great potential in clinical diagnostics. © 2025, The Authors. All rights reserved.

关键词： Biotelemetry

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Stabilization of Continuous-Time systems Against Stochastic network Uncertainties:Fundamental Variance Bounds

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Journal of systems Science & Complexity 2021年第5期34卷 1858-1878页

作者： QI Tian CHEN Jie School of Automation Science and Engineering Key Laboratory of Autonomous Systems and Networked ControlSouth China University of TechnologyGuangzhou 510640China Department of Electrical Engineering City University of Hong KongHong KongChina

This paper studies the stabilizability and stabilization of continuous-time systems in the presence of stochastic multiplicative *** authors consider multi-input,multi-output(MIMO)linear time-invariant systems subject to multiple static,structured stochastic uncertainties,and seek to derive fundamental conditions to ensure that a system can be stabilized under a mean-square *** the stochastic control framework,this problem can be considered as one of optimal control under state-or input-dependent random noises,while in the networked control setting,a problem of networked feedback stabilization over lossy communication *** authors adopt a mean-square small gain analysis approach,and obtain necessary and sufficient conditions for a system to be meansquare stabilizable via output *** single-input,single-output(SISO)systems,the condition provides an analytical bound,demonstrating explicitly how plant unstable poles,nonminimum phase zeros,and time delay may impose a limit on the uncertainty variance required for mean-square *** MIMO minimum phase systems with possible delays,the condition amounts to solving a generalized eigenvalue problem,readily solvable using linear matrix inequality optimization techniques.

关键词： Mean-square small gain theorem multiplicative stochastic uncertainty networked control

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Output feedback stabilization of networked control systems with uncertain transition probability matrix

Output feedback stabilization of networked control systems w...

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3rd IFAC Conference on Intelligent control and Automation Science, ICONS 2013

作者： Qiu, Li Zhong, Xiaopin Li, Shanbin Xu, Bugong Shenzhen Key Laboratory of Urban Rail Transit College of Mechatronics and Control Engineering Shenzhen University Shenzhen 518060 China Key Laboratory of Autonomous Systems and Network Control School of Control Science and Engineering South China University of Technology Guangzhou 510640 China

ISBN: (纸本)9783902823458

In this paper, the output feedback stabilization problem for a class of discrete-time networked control systems (NCSs) with uncertain transition probability matrix and random packet dropouts are investigated. Random packet dropouts occurring in the sensor-to-controller (S-C) and controller-to-actuator (C-A) are modeled as Markov chain. The resulting closed-loop systems are modeled as discrete-time Markovian jump linear systems (MJLSs) with uncertain transition probability matrix. Su±cient conditions for existence of a output feedback controller which guarantees the stochastic stability of NCS are established based on stochastic Lyapunov function and linear matrix inequality approach. A simulation example illustrates the validity and feasibility of the results. Copyright © 2013 IFAC.

关键词： networked control systems

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