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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131-140 订阅

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Consensus learning Tracking of Two-dimensional Discrete Networks Based on Sliding Mode Method 9

Consensus Learning Tracking of Two-dimensional Discrete Netw...

引用

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

作者： Luo, Zijian Xiong, Wenjun Southwestern Univ Finance & Econ Sch Econ Informat Engn Chengdu 611130 Peoples R China

ISBN: (纸本)9781728159225

In this paper, the consensus tracking of two-dimensional discrete networks is studied by designing a kind of control strategies. the designed control strategies combine the advantages of sliding mode control and iterative learning control, which can be applied in general situations. And it is proven that the consensus tracking can be achieved by running repeatedly in a finite time interval. Some sufficient conditions are presented to guarantee the asymptotical convergence of the tracking error. Finally, the effectiveness is illustrated by numerical simulations.

关键词： Consensus tracking learning control Sliding mode method Two-dimensional discrete networks

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A Pattern-moving-Based data-driven control Method for a Kind of Industrial Production Processes 9

A Pattern-moving-Based Data-driven Control Method for a Kind...

引用

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

作者： Li, Xiangquan Xu, Zhengguang Wang, Mushu Cui, Jiarui Yang, Xu Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Minist Educ Key Lab Knowledge Automat Ind Proc Beijing 100083 Peoples R China Shandong Jiaotong Univ Sch Informat Sci & Elect Engn Jinan 250357 Peoples R China

ISBN: (纸本)9781728159225

Due to the existence of a kind of industrial production process which is too complex to determine the model structure and identify the system parameters, a data-driven control method is proposed based on pattern moving. First of all, the way of system dynamics description based on pattern moving is introduced. then, according to the mentioned way a pattern-moving-based model free adaptive control (PMFAC) algorithm is put forward, and pseudo orders of the PMFAC algorithm are identified by using the conditional entropy of output classes. At last, simulation results demonstrate the feasibility and effectiveness of proposed data-driven control method.

关键词： Pattern moving data-driven control pseudo orders identification model free adaptive control

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Iterative learning Reliable control Strategy for a Class of SISO systems with Time-Delay and Actuator Faults 9

Iterative Learning Reliable Control Strategy for a Class of ...

引用

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

作者： Liu, Heng Wang, Yanjie Zhang, Ruikun Qingdao Univ Sci & Technol Sch Math & Phys Qingdao 266061 Peoples R China Qingdao Univ Sci & Technol Res Inst Math & Interdisciplinary Sci Qingdao Peoples R China

ISBN: (纸本)9781728159225

this manuscript presents an iterative learning control strategy for a class of single-input single-output (SISO) nonlinearly parameterized systems with unknown time-varying state delays and actuator faults. Based on some basic assumptions and the property of the state delays and actuator faults of the SISO nonlinear system, we design the P-type iterative learning reliable controller to deal with the nonlinearity caused by the time-delays term and actuator faults. And then, a composite energy function(CEF) is used to show the convergence property of the state tracking error. Finally, a numerical simulation is used to verify the correctness and effectiveness of control scheme.

关键词： Iterative learning control Time-varying state delays Actuator faults Single-Input Single-Output System

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Adaptive Iterative learning Vibration control of a Two-Link Rigid-Flexible Manipulator with Endpoint Input Saturation 9

Adaptive Iterative Learning Vibration Control of a Two-Link ...

引用

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

作者： Zhou, Xingyu Wang, Haoping Tian, Yang Dai, Xisheng Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China Guangxi Univ Sci & Technol Sch Elect & Informat Engn Liuzhou 545006 Peoples R China

ISBN: (纸本)9781728159225

An adaptive iterative learning vibration control (AILVC) scheme is considered for a two-link rigid-flexible manipulator with endpoint input saturation. A PD-type AILVC law is designed for the coupled ordinary differential equation - partial differential equation dynamic model in the presence of time-varying disturbances and the distributed disturbance. then, by utilizing the composite energy function approach and rigorous analysis, the tracking error is asymptotically guaranteed convergence to the angular position, and the vibration of the flexible link is suppressed simultaneously. Finally, the results of numerical simulations are given to demonstrate the validity of the proposed AILVC method.

关键词： Iterative learning vibration control rigid-flexible manipulator endpoint input saturation convergence analysis

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ADHDP-Based Housing Energy Management For Two Housing Units With Mobile Storage 9

ADHDP-Based Housing Energy Management For Two Housing Units ...

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

作者： Xue, Jiguang Yan, Chunsheng Liu, Lu Wang, Jiahan Zhao, Xuliang Wang, Xin State Grid Liaoning Elect Power Co Ltd Elect Power Res Inst Shenyang 110006 Peoples R China LiaoNing Elect Power Dev Stock Co LTD Shenyang 110006 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9781728159225

In this paper, a new optimal learning control scheme for discrete-time nonlinear systems using iterative adaptive dynamic programming (ADP) approach is developed to obtain the optimal control law for two-house energy systems. First, the operation modes of the battery are analyzed, and the problem statement is carried out. Next, according to the data of the users, action dependent heuristic dynamic programming (ADHDP) is developed to obtain the optimal control law. Numerical results are given to illustrate the performance of the present method.

关键词： Battery electric vehicle optimal control adaptive dynamic programming battery management

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Model Free Adaptive Pitch control of a Flapping Wing Micro Aerial Vehicle with Input Saturation 9

Model Free Adaptive Pitch Control of a Flapping Wing Micro A...

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

作者： Wang, Tianhe Jin, Shangtai Hou, Zhongsheng Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China Qingdao Univ Sch Automat Qingdao 266071 Peoples R China

ISBN: (纸本)9781728159225

In this paper, the dynamics of a flapping wing micro aerial vehicle is analyzed. Aiming at the difficulty of controller design caused by the nonlinearity, time-varying and strong coupling characteristics of the micro aerial vehicle, a full form dynamic linearization based model free adaptive control scheme (FFDL-MFAC) is presented to realize the pitch control of the controlled vehicle. In addition, a compensator is introduced to overcome the control input saturation caused by the limitation of the actuator. Simulation results are provided to demonstrate the effectiveness of the proposed MFAC.

关键词： Model free adaptive control flapping wing micro aerial vehicle pitch angle control input saturation

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A Simplified data-driven Optimal Iterative learning control based on Iterative Extended State Observer 9

A Simplified Data-driven Optimal Iterative Learning Control ...

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

作者： Ai, Wei Lin, Peilin Li, Xiangyang South China Univ Technol Sch Automat Sci & Engn Guangzhou 510641 Peoples R China

ISBN: (纸本)9781728159225

Inspired by Active Disturbance Rejection based Iterative learning control (ADR-ILC) and data-driven Optimal Iterative learning control (DDOILC), this paper proposes a simplified data-driven optimal iterative control method based on iterative extended state observer (IESO). Accurate estimation of the system uncertainties is observed by IESO during the iterative process. though considering the uncertainties on iterative dynamic linearization method, it is not needed to deduce a new form of the original iterative pseudo partial derivative (PPD). IESO, undertaking as the tool to estimate the whole uncertainties, is added into the DDOILC control law as a separate part. the whole control law is more intuitive and concise than other IESO based DDOILC method which has modified PPD updating law and control law. At the same time the variable gain control mechanism makes the proposed method demonstrate superiority over ADR-ILC in the case of strong nonlinearity. Simulation shows it that can achieve better performance than DDOILC and the other IESO based DDOILC.

关键词： Active disturbance rejection control Iterative extended state observer data-driven control Iterative learning control

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On the Cumulative Number of Confirmed Cases of 2019-nCoV which Based on data-driven Concepts 9

On the Cumulative Number of Confirmed Cases of 2019-nCoV whi...

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

作者： Wang, Xuan Yang, Zhihui Anhui Univ Finance & Econ Bengbu 233000 Peoples R China

On the basis of data-driven, this paper fitted two models of different states which according to the initial data of China9;s fight against COVID-19 epidemic. Depending on the stage of the outbreak, we applied the ... 详细信息

ISBN: (纸本)9781728159225

On the basis of data-driven, this paper fitted two models of different states which according to the initial data of China's fight against COVID-19 epidemic. Depending on the stage of the outbreak, we applied the two models to predict the cumulative number of confirmed covid-19 cases in the United States and Italy in the early stages of the outbreak. In the early days of the outbreak, the number of confirmed cases in the United States is expected to reach 250000 to 300,000. And if the control measures are effective, there is a high probability that the number of confirmed diagnoses in Italy will not exceed 210,000. Unity can put the difficult away. We should believe that only when countries respect each other and strengthen cooperation can they finally defeat the epidemic.

关键词： data driven Philosophy 2019-nCoV Non-linear Fitting Logistic Function

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On the Equivalence between PID-like controller and LADRC for second-order systems 9

On the Equivalence between PID-like controller and LADRC for...

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

作者： Li, Xiangyang Gao, Zhiqiang Ai, Wei Tian, Senping South China Univ Technol Sch Automat Sci & Engn Guangzhou 510641 Peoples R China Cleveland State Univ Dept Elect & Comp Sci Cleveland OH 44115 USA

ISBN: (纸本)9781728159225

In this paper, the equivalence is established between the linear active disturbance rejection control (LADRC) and the two-degree of freedom (2-DOF) proportional-integral-derivative (PID) with lead-lag compensators. this allows advantage of LADRC, particularly its bandwidth-parameterization strategy, to be incorporated into the run-of-mill PID controllers. Specifically, the competing design objectives in disturbance rejection, tracking, and noise sensitivities can now be handled with ease.

关键词： Proportional-integral-derivative (PID) linear active disturbance rejection controller (LADRC) extended state observer (ESO) state error feedback (SEF) two-degree of freedom PID (2-DOF PID)

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Event-Triggered Consensus Output Tracking Strategy for Multiagent systems Utilizing Model-Free Adaptive control 9

Event-Triggered Consensus Output Tracking Strategy for Multi...

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

作者： Song, Weizhao Feng, Jian Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China

ISBN: (纸本)9781728159225

In this article, a model-free-adaptive-control-based (MFAC-based) event-triggered (ET) consensus output tracking problem for multiagent systems (MASs) is investigated. the dynamic models of agents are unknown, and only a subset of agents can acquire the reference trajectory. the consensus tracking algorithm is designed by the real-time input/output data and pseudo-partial-derivative (PPD), which is an important parameter of MFAC approach. An output observer is built to design the centralized ET mechanism. then, the boundedness analysis that the tracking error is uniformly ultimately bounded (UUB) is given. Finally, a simulation experiment is provided to verify the feasibility of the ET consensus output tracking strategy for MASs.

关键词： Model free adaptive control (MFAC) Multiagent systems (MASs) Event-triggered (ET) Consensus output tracking

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