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检索条件"任意字段=7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018"

共 474 条记录，以下是31-40 订阅

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A New Least Squares Iterative Estimation Algorithm for CARAR systems 7

A New Least Squares Iterative Estimation Algorithm for CARAR...

引用

ieee 7th data driven control and learning systems conference (ddcls)

作者： Wan, Lijuan Chen, Chunping Ji, Yan Qingdao Univ Sci & Technol Coll Automat & Elect Engn Qingdao 266061 Peoples R China Qingdao Univ Sci & Technol Editorial Off Journal Qingdao Univ Sci & Technol Qingdao 266061 Peoples R China

ISBN: (纸本)9781538626184

Mathematical models are the base for the system analysis and the controller design. this paper focuses on the identification problems of controlled autoregressive models with autoregressive noise (CARAR system for short). By applying the iterative method and the hierarchical principle, a least squares identification algorithm is investigated. the key of this algorithm is replacing the unknown noise terms in the information vector with their estimated residuals. the effectiveness of this approach is demonstrated by the simulation experiment.

关键词： Least squares Iterative identification Hierarchical principle Parameter estimation

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Feedback-Aided PID-type Iterative learning control against Initial State Error 7

Feedback-Aided PID-type Iterative Learning Control against I...

引用

ieee 7th data driven control and learning systems conference (ddcls)

作者： Bi, Hongbo Yang, Mingxia Chen, Jiaquan Quzhou Univ Coll Elect & Informat Engn Quzhou 324000 Peoples R China

ISBN: (纸本)9781538626184

this paper presents a PID-type ILC (iterative learning control) algorithms for system which undertaken performance tasks repetitively over a pre-specified finite-time interval in the presence of initial state error, and the convergence analysis shows that the tracking error converges to zero asymptotically as time goes to infinity. Furthermore, a kind of initial rectifying strategy is addressed to eliminate the effect of the fixed initial state error, and the limit trajectory is stated. At last, numerical results are addressed to demonstrate the validity of the proposed learning control algorithms.

关键词： Feedback-aided PID-type Iterative learning control Initial rectifying

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A data-driven System-level Health State Prognostics Method for Large-scale Spacecraft systems 7

A Data-driven System-level Health State Prognostics Method f...

引用

ieee 7th data driven control and learning systems conference (ddcls)

作者： Chen, Runfeng Yang, Hong China Acad Space Technol Inst Manned Space Syst Engn Beijing 100094 Peoples R China

ISBN: (纸本)9781538626184

Large-scale spacecraft, such as space station, highlights the systems' reliability and safety. Using prognostics to predict the trend of the system health state evolution can help find out the potential dangers and prevent the unexpected failure from happening. With the adoption of data-driven ideology, a system-level health state prognostics method is proposed to predict the trend information. First, the characteristics of the large-scale spacecraft and the system-level health definition are analyzed. then the details of the solution method are described. the novelty of this method is to use the network science knowledge to extract the system-level features. the adopted predicting method is briefly introduced. Finally, a real case study with on-orbit telemetry data is presented, and relevant conclusions are drawn for reference.

关键词： data-driven system-level prognostics large-scale spacecraft

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Saturated D-type ILC for Multicopter Trajectory Tracking Based on Additive State Decomposition 7

Saturated D-type ILC for Multicopter Trajectory Tracking Bas...

引用

ieee 7th data driven control and learning systems conference (ddcls)

作者： Ke, Chenxu Ren, Jinrui Quan, Quan Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China

ISBN: (纸本)9781538626184

In this paper, a saturated D-type iterative learning control (ILC) method is proposed for multicopter trajectory tracking based on the additive state decomposition (ASD) method. By using the ASD method, the multicopter nonlinear horizontal channel with input saturation is divided into a linear primary system and a nonlinear secondary system. the ILC method for linear systems can be used directly in the linear primary system to track desired trajectories. A state feedback is applied to stabilize the nonlinear secondary system. then, the above two controllers are combined to achieve the control goal. Simulation results demonstrate the feasibility of the proposed method for the multicopter trajectory tracking problem with input saturation and other nonlinearities.

关键词： Multicopter Iterative learning control Additive State Decomposition Trajectory Tracking

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Sliding Mode control of A Class of Nonlinear systems 7

Sliding Mode Control of A Class of Nonlinear Systems

引用

ieee 7th data driven control and learning systems conference (ddcls)

作者： Liu, Xinxin Hu, Feng Su, Xiaojie Chongqing Univ Coll Automat Chongqing 400044 Peoples R China

ISBN: (纸本)9781538626184

this paper concerns the sliding mode control problems for a class of nonlinear systems, named repeated scalar nonlinear systems, with a pre-scribed performance. Firstly, observer based on event-triggered scheme is constructed to well estimate the system states. Corresponding sliding mode dynamics is obtained. then, sliding mode controller is designed to keep that the closed-loop system trajectories to reach the pre-specified sliding region in finite time. Finally, sufficient conditions of sliding mode dynamics and error dynamics to be stochastic stable with a pre-scribed performance are provided.

关键词： Repeated scalar nonlinear system sliding mode control sliding mode observer

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Stability Criterion for Networked control systems Based on T-S Model with Time-Varying Delays 7

Stability Criterion for Networked Control Systems Based on T...

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ieee 7th data driven control and learning systems conference (ddcls)

作者： Liu, Tao Liu, Xingping Qilu Univ Technol Shandong Acad Sci Sch Elect Engn & Automat Shandong Peoples R China

ISBN: (纸本)9781538626184

this article explores the stability of a class of networked control systems with T-S fuzzy systems and time-varying delays. A new standard is more conservative than the current result by using a new Lyapunov - Krasovskii function and an interactive convex method. the validity and superiority of this method are verified by an example.

关键词： linear matrix inequality Lyapunov-Krasovskii functional T-S fuzzy system networked control system

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Adaptive Iterative learning control Mechanism for Nonlinear systems subject to High-Order Internal Model 7

Adaptive Iterative Learning Control Mechanism for Nonlinear ...

引用

ieee 7th data driven control and learning systems conference (ddcls)

作者： Zhou, Wei Yu, Miao Jiangsu Vocat Inst Commerce Sch Informat Technol Nanjing 211100 Jiangsu Peoples R China Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781538626184

this technical note addresses an adaptive iterative learning control (AILC) problem for nonlinear dynamical systems with partially unknown iteration-varying parameter. Referring to the scheme of state-space, an AILC effort is presented for randomly varying reference tracking together with initial shift problem in iteration domain. Furthermore, the AILC technique is extended to systems with several parameters in discussion. A simulation example confirms the validity of the proposed method.

关键词： Adaptive iterative learning control (AILC) High-order internal model (HOIM) Iteratively varying parameter Non-repetitive factor Initial shift issue

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A Novel Scheme for Fault Detection Using data-driven Gap Metric Technique 7

A Novel Scheme for Fault Detection Using Data-Driven Gap Met...

引用

ieee 7th data driven control and learning systems conference (ddcls)

作者： Liu, Ruijie Yang, Ying Zhao, Zhengen Zhou, Jing Peking Univ Coll Engn Dept Mech & Engn Sci State Key Lab Turbulence & Complex Syst Beijing 100871 Peoples R China

ISBN: (纸本)9781538626184

this paper considers the fault detection problem for uncertain linear time-invariant systems. Based on the data-driven computational method for the gap metric, a fault detection scheme is designed by monitoring the gap metric between the running process and its nominal system with the direct use of offline and online data. Moreover, an alternative iterative realization of the stable image representation is proposed, based on which the gap metric is obtained and the fault detection is conducted with less calculation efforts. In addition, owing to the physical properties behind the gap metric, reliability analysis for systems with multiplicative faults is addressed. the numerical simulation examples are presented to demonstrate the effectiveness of the fault detection scheme.

关键词： Fault Detection Gap Metric data-driven Reliability Analysis

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An Improved Model-free Adaptive Predictive control Algorithm For Nonlinear systems With Large Time Delay 7

An Improved Model-free Adaptive Predictive Control Algorithm...

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ieee 7th data driven control and learning systems conference (ddcls)

作者： Dong, Na Feng, Yu Han, Xue-shuo Wu, Ai-guo Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China

ISBN: (纸本)9781538626184

For control problem of nonlinear time-delay systems, we improve the control input criteria function of the model-free adaptive control by adding the sum of control output error into the control input criteria function. Also, the concept of predictive control has been incorporated into the improved algorithm. Typical linear and nonlinear large time-delay systems are introduced for simulation comparison tests. the simulation results show that the improved model-free predictive control algorithm can achieve stable output, better control effect and faster response. thus, the effectiveness of this improved model-free predictive control method is fully illustrated.

关键词： Predictive control Sum of control Output Error control Input Criteria Function Model-free Adaptive control

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Computationally Inexpensive Robust data driven Optimal Point-To-Point Tracking ILC for City Subway Trains subject to Iteration-Dependent Disturbances 7

Computationally Inexpensive Robust Data Driven Optimal Point...

引用

ieee 7th data driven control and learning systems conference (ddcls)

作者： Liu, Genfeng Hou, Zhongsheng Beijing Jiaotong Univ Sch Elect & Informat Engn Adv Control Syst Lab Beijing 100044 Peoples R China

ISBN: (纸本)9781538626184

this paper presents a robust data driven optimal point-to-point ILC for subway trains with multiple-point tracking and subject to iteration-dependent disturbances by only utilizing input output data of the train system. Firstly, the tracking task requires that the control input is updated according to the prespecified measured multiple-point tracking error values rather than the complete output trajectory, which can reduce computational cost. Secondly, without model information of the train system, a robust data driven control law is designed. then, rigorous analysis is developed which demonstrates that the train tracking error is monotonic uniformly ultimately bounded convergence and the ultimate bound which only depends on the disturbances boundedness. Finally, a simulation is conducted for train system to verify the effectiveness of theoretical studies.

关键词： data driven control Robust optimal PTPILC City subway trains Low computational cost

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