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检索条件"任意字段=9th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2020"

共 506 条记录，以下是161-170 订阅

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Design and Implementation of the PI-type Active Disturbance Rejection Generalized Predictive control 9

Design and Implementation of the PI-type Active Disturbance ...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Ren, Jia Chen, Zengqiang Sun, Mingwei Sun, Qinglin Nankai Univ Coll Artificial Intelligence Tianjin 300350 Peoples R China Key Lab Intelligent Robot Tianjin Tianjin 300350 Peoples R China

ISBN: (纸本)9781728159225

In order to overcome the limitations of the Active Disturbance Rejection control (ADRC) algorithm in large time-delay systems, and the shortcomings of the online calculation of the PI-type Generalized Predictive control (PI-GPC) algorithm. this paper presents a PI-type Active Disturbance Rejection Generalized Predictive control (PI-ADRGPC) algorithm. Simulation analysis is also carried out for linear systems, nonlinear systems and large time-delay systems. the analysis results show that the proposed algorithm has better dynamic performance and stronger disturbance rejection ability than the traditional ADRC and ADRC-GPC algorithm.

关键词： Active Disturbance Rejection control(ADRC) PI-typeGeneralized Predictive control(PI-GPC) PI-type Active Disturbance Rejection Generalized Predictive control(PI-ADRGPC)

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On performance analysis of extended state observer for a class of systems with multiple uncertainties and biased measurement 9

On performance analysis of extended state observer for a cla...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Chen, Sen Zhao, Zhiliang Bai, Wenyan Shaanxi Normal Univ Sch Math & Informat Sci Xian 710119 Peoples R China Beijing Aerosp Automat Control Inst Beijing 100854 Peoples R China

ISBN: (纸本)9781728159225

this paper studies the state estimation problem of a class of systems with multiple uncertainties and biased measurement. Since the observability of such system is not satisfied, the estimations for states and uncertainties definitely have biases. For the extended state observer which aims to estimate the system states and the dominant term of uncertainties, the quantitative estimating performance is studied in the paper. Furthermore, the biased estimation error is explicitly shown, which can be derived from the following three parts: 1) the biased measurement;2) the unobservable dominant uncertainty;3) the non-dominant term of multiple uncertainties. the theoretical analysis in the paper can help practitioners quantitatively evaluate the effectiveness of the designed extended state observer.

关键词： extended state observer biased estimation observability active disturbance rejection control

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learning rule with fractional-order average momentum based on Tustin generating function for convolution neural networks 9

Learning rule with fractional-order average momentum based o...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Jian, Jing Gao, Zhe Kan, Tao Liaoning Univ Sch Math Shenyang 110036 Peoples R China Liaoning Univ Coll Light Ind Shenyang 110036 Peoples R China

ISBN: (纸本)9781728159225

In this paper, we propose a fractional-order average momentum (FOAM) method based on Tustin generating function to train parameters in convolution neural networks. Taking the classical data set MNIST as the training and testing data, the effectiveness of the FOAM for CNNs is verified. the experimental results show that the stochastic gradient descent method based on FOAM can improve the recognition accuracy and learning convergence speed of convolution neural networks.

关键词： Convolutional neural networks fractional-order average momentum parameter updating stochastic gradient descent method

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Disturbance Estimation and Attenuation for Repetitive-control systems with Unknown Nonlinearity 9

Disturbance Estimation and Attenuation for Repetitive-Contro...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Jiang, Fuxi Zhou, Lan Zhang, Zhu Jiang, Zhuang Liao, Changchao Hunan Univ Sci & Technol Sch Informat & Elect Engn Xiangtan 411201 Peoples R China

ISBN: (纸本)9781728159225

this paper presents a framework for a class of single-input-single-output (SISO) nonlinear systems with periodic tasks and subject to aperiodic disturbances using linear-extended-state-observer (LESO)-based repetitive control method. A two-stage design procedure is devised to enhance the disturbance estimation and attenuation ability of repetitive-control system where design of LESO is separated from design of repetitive control law. An LESO is designed to estimate and compensate the nonvanishing lumped disturbance in real time fashion. the stability criterion of the LESO-based repetitive-control system is established in the presence of unknown nonlinear dynamics. the simulations demonstrate that the proposed LESO-based repetitive-control system can achieve satisfactory disturbance rejection and tracking control performances simultaneously. Furthermore, a slight correction to the amount of the delay of the repetitive controller leads to a substantial decrease in steady-state tracking error.

关键词： Repetitive control Linear Extended State Observer Disturbance Rejection Tracking control

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Fault-Tolerant control for Load Frequency control System via a Fault Observer 9

Fault-Tolerant Control for Load Frequency Control System via...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Zhang, Yiwei Xu, Dezhi Yang, Weilin Bi, Kaitao Yan, Wenxu Jiangnan Univ Sch Internet Things Engn Wuxi 214122 Jiangsu Peoples R China

ISBN: (纸本)9781728159225

To guarantee the stability and reliability of the multi-area interconnected power system under sensor failures, this paper presented a fault observer based active sensor fault-tolerant control scheme for load frequency control in power system. A fault observer is firstly introduced in order to estimate the sensor failures in different control areas. then, based on the estimation of the fault, an distributed integral-type sliding mode fault-tolerant control scheme is presented to ensure that the frequency of each subsystem in the multi-area interconnected power system can run stably within the allowable range. Finally, the simulation experiment by applying different sensor faults in a three-area interconnected power system was operated, and the simulation results prove the effectiveness and the desired performance of the presented distributed active fault-tolerant control scheme.

关键词： Fault-tolerant control (FTC) Fault observer Load frequency control (LFC) Automatic generation control (AGC)

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Formation tracking for discrete-time multi-agent system with unknown dynamics by using adaptive finite rational orthogonal basis functions 9

Formation tracking for discrete-time multi-agent system with...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Ge, Yu Fang, Yong Sheng, Zhichao Shanghai Univ Shanghai Inst Adv Commun & Data Sci Key Lab Specialty Fiber Opt & Opt Access Networks Joint Int Res Lab Specialty Fiber Opt & Adv Commu Shanghai 200444 Peoples R China

ISBN: (纸本)9781728159225

this paper considers iterative learning control (ILC) for formation tracking problem of discrete-time multi-agent system with unknown system dynamics. It is assumed that each agent has its own system dynamics. thus, the unknown system dynamics and information interaction between multi-agent make formation tracking difficult to achieve. In this paper, we utilize the adaptive Fourier decomposition (AFD) algorithm to approximate the system parameters only with input and output data. then a learning control scheme is proposed with estimated system dynamics. Simulations show trajectories of multi-agent are tracked precisely after a certain number of iterations.

关键词： ILC multi-agent unknown system dynamics adaptive Fourier decomposition

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An Unmanned Vehicle Trajectory Tracking Method based on Improved Model-free Adaptive control Algorithm 9

An Unmanned Vehicle Trajectory Tracking Method based on Impr...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Yuan, Dongdong Wang, Yankai Beijing Inst Technol Sch Aerosp Engn Beijing Peoples R China

ISBN: (纸本)9781728159225

In order to solve the dynamic modeling and parameter identification problems of unmanned vehicles trajectory tracking control, a mathematical model of unmanned vehicle trajectory tracking is designed based on the data-driven model-free adaptive control method, which does not depend on the precise dynamic model of the unmanned vehicle. the model-free adaptive control method is extended to the unmanned vehicle trajectory tracking control, and the model-free controller is designed and applied to the driverless vehicle trajectory tracking control. Aiming at the problem that the general compact form dynamic linearization model-free adaptive control (CFDL-MFAC) algorithm cannot converge in vehicle trajectory tracking control, combined with the dynamic characteristics of unmanned vehicles, an improved model-free adaptive control algorithm is proposed in this paper. the simulation results verify the effectiveness and feasibility of the algorithm. Mathematical simulation results show that the improved model-free adaptive algorithm of the designed unmanned vehicle is effective and can effectively implement the trajectory tracking control of the unmanned vehicle. At the same time, the design of the controller does not depend on the kinematics and dynamics models of the unmanned vehicle, and it has high control accuracy.

关键词： Unmanned Vehicle Trajectory Tracking data-driven Improved Model-free Adaptive control Algorithm

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A Novel Design of Active Disturbance Rejection control for TITO systems 9

A Novel Design of Active Disturbance Rejection Control for T...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Wang, Shuqing Tan, Wen Li, Donghai Cui, Wenqing North China Elect Power Univ Sch Control & Comp Engn Beijing 102206 Peoples R China Tsinghua Univ Dept Thermal Engn State Key Lab Power Syst Beijing 100084 Peoples R China

ISBN: (纸本)9781728159225

As a new control method that does not need accurate information of model, active disturbance rejection control (ADRC) treats external and internal disturbance as a total disturbance under extended state observer (ESO) and in order to maintain system performance, a state feedback law is put forward to compensate the total disturbance. We proposed a novel design of ADRC for two- input-two-output (TITO) systems in this paper. the manipulated variables of the two loops are both input into the ESO for the purpose of improving decoupling performance as well as the control performance of ADRC controller. this design of ADRC is easy to understand and has excellent decoupling ability. To prove the effectiveness of proposed method, some simulation examples are conducted.

关键词： Active disturbance rejection controller (ADRC) Extended state observer (ESO) Two input and two output (TITO) systems

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Finite-time Annular Domain Stabilization for Nonlinear systems in Strict-feedback Form 9

Finite-time Annular Domain Stabilization for Nonlinear Syste...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Yan, Zhiguo Ji, Dongkang Hu, Guolin Du, Mingjun Liu, Xiaoping Qilu Univ Technol Sch Elect Engn & Automat Shandong Acad Sci Jinan 250353 Peoples R China Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China Lakehead Univ Dept Elect Engn Thunder Bay ON P7B 5E1 Canada

ISBN: (纸本)9781728159225

the problem of finite-time annular domain stabilization for nonlinear systems in strict-feedback form is considered in this paper. Firstly, a definition of finite-time annular domain stability for nonlinear systems is given and also some practical explanation is presented. Secondly, a back-stepping design approach is proposed and a sufficient condition for the existence of finite-time annular domain stabilization controller is given. Finally, a detailed example is used to show back-stepping design approach superiority to linear matrix inequality approach.

关键词： finite-time annular domain stability back-stepping nonlinear systems

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Fusion-based multi-kernel learning filter with maximum correntropy criterion 9

Fusion-based multi-kernel learning filter with maximum corre...

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9th ieee data driven control and learning systems conference (ddcls)

作者： Chu, Lin Li, Wenling Beihang Univ BUAA Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China

ISBN: (纸本)9781728159225

Kernel learning filters have been effective tools for addressing nonlinear function fitting problem. In these filters with Gaussian kernels, the performance depends on the choice of the kernel width and an inappropriate kernel width might degrade the learning performance. To further improve the learning performance, a fusion-based multi-kernel learning filter with maximum correntropy criterion is proposed in this paper, in which multiple learning filters with different kernel widths run independently and the output estimates are fused by a set of weighting coefficients. the weighting coefficients are treated as the posterior probabilities of the kernel widths in effective and they are computed recursively by using the likelihood functions. Simulation results show that the proposed filter outperforms the existing single kernel learning filters and the multi-kernel learning filter with maximum mixture correntropy criterion.

关键词： Kernel learning Maximum correntropy

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