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检索条件"任意字段=8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019"

共 336 条记录，以下是71-80 订阅

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data-driven sliding mode control with moving surface for unknown MIMO discrete-time nonlinear processes 8

Data-driven sliding mode control with moving surface for unk...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Liu, Lichuan Li, Jiapeng Weng, Yongpeng Wang, Ning Liu, Yi College of Marine Electrical Engineering Dalian Maritime University Dalian116026 China

ISBN: (纸本)9781728114545

A novel moving surface is proposed for data-driven sliding mode controller design to deal with the unknown multi-input multi-output discrete nonlinear processes with both uncertainties and disturbances. the key point of this study is to design a data-based moving sliding surface and the corresponding data-driven robust controller. A sliding mode surface with time-varying gain matrix is proposed at first and then transformed into an equivalent data-based form via observer strategy and non-parametric dynamic linearization technique. By further deploying the data-driven strategy, an efficient adaptive law is developed to update the aforementioned gain matrix. As the adaptive law is developed based on the strategy of improving the control performance, a fast tracking with little overshoot and small chattering is obtained. Lastly, the efficacy of the proposed approach is testified by both simulation and theoretical analysis. © 2019 ieee.

关键词： Sliding mode control

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Health maintenance decisions based on hazard rate function under degradation process 8

Health maintenance decisions based on hazard rate function u...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Liu, An Lu, Xiaofei Hu, Shaolin He, Weihui State Key Laboratory of Astronautic Dynamics Xian Satellite Control Center Xian710043 China Jiuquan Satellite Launch Center Jiuquan732750 China

ISBN: (纸本)9781728114545

the classical Hazard Rate Function (HRF) is typically used to make preventative maintenance (PM) decisions and always estimates HRF based on time to failure data. Even so, PM determination using conventional HRF is not suitable for systems with condition monitoring. the system is stopped checking and maintaining when the measured health state exceeds a predetermined threshold, which is always referred to as a soft failure. Since the application of HRF for PM decision making has great advantages, the classic HRF should be extended to combine soft and hard failure of systems with condition monitoring. In this paper, we define the HRFs of hard and soft failure for system under condition monitoring and propose a method to estimate the HRFs with data of failure time. We discuss in detail the relationship between these two HRFs and the classical HRF. With double stochastic processes (processes of degradation and measured healthy status), the properties of these HRFs are also researched. Further the optimal maintenance decisions are made for non-repairable and repairable systems upon these two types of HRFs. Eventually, the idea of this paper is verified by numerical examples. © 2019 ieee.

关键词： Condition monitoring

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Lα-regularization-based sparse semi-supervised learning for data with complex distributions 8

Lα-regularization-based sparse semi-supervised learning for...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Zhang, Qi Chu, Tianguang School of Information Technology Management University of International Business Economics Beijing100029 China College of Engineering Peking University Beijing100871 China

ISBN: (纸本)9781728114545

We consider in this paper two kinds of complex data, i.e., multimodal and mixmodal data, and aim to develop data-driven learning models to exploit the intrinsic characteristics of the data. An $l-{\alpha}$-regularization-based sparse semi-supervised graph embedding (SSGE) model for feature extraction upon multimodal and mixmodal data is presented by incorporating the hierarchical locality with non-convex sparsity, facilitating better interpretation of the projections. Semi-supervised projection learning and $l-{\alpha}$-regularization-based sparse subspace learning are implemented successively, with feasible solving algorithms presented. Experiments for face recognition verifies the feasibility and effectiveness of the proposed SSGE model in both multimodal and mixmodal situations. © 2019 ieee.

关键词： Face recognition

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Optimal and stable control for two-player zero-sum game using adaptive dynamic programming 8

Optimal and stable control for two-player zero-sum game usin...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Zhu, Liao Song, Ruizhuo Wei, Qinglai Yang, Zhanyu Zhao, Bo State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China School of Systems Science Beijing Normal University Beijing100875 China

ISBN: (纸本)9781728114545

In this paper, an optimal and stable iteration learning scheme is developed for two-player zero-sum game (ZSG) in the discrete-time nonlinear systems. In the implementation of developed algorithm, the optimal and stable solution of Hamilton-Jacobi-Isaacs can be obtained based on adaptive dynamic programming (ADP). First, in order to obtain the optimal control policies, value iteration approach is employed with the proof of convergence given. Second, based on Lyapunov theory, an easy condition is proposed to get the stable control laws. third, neural networks are used to implement the developed algorithm. Finally, a simulation example is included to verify the present method. © 2019 ieee.

关键词： Neural networks

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Iterative learning control for automatic train operation with discrete gears 8

Iterative learning control for automatic train operation wit...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Chen, Hua Xiong, Zhihua Ji, Yindong Tsinghua University Department of Automation Beijing100084 China

ISBN: (纸本)9781728114545

In the traditional iterative learning control (ILC) for automatic train operation (ATO), control inputs are usually continuous signals. In this paper, a practical ILC is presented to carry out the train operation by discrete traction or braking force. the train motion dynamic model is described by linear time-varying perturbation model along with the reference trajectories, which can be identified by the historical data. the ILC based on the perturbation model can be easily used to the case with the continuous control signals because the updating law of the ILC can be derived theoretically. then the proposed ILC method is extended to the case with discrete gears by transforming the ILC with discrete control signals into a well-defined mixed integer programming (MIP) problem. the proposed method has been illustrated on the simulation case. Simulation results show that the method can not only track the reference trajectories to a fine accuracy but also restrict the gear shift frequency of the operation process, which is helpful to improve the ride comfort index of the whole train operation. © 2019 ieee.

关键词： learning algorithms

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Model free adaptive attitude control of launch vehicle using iterative feedback tuning 8

Model free adaptive attitude control of launch vehicle using...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Yang, Zunyao Yu, Xian Jin, Shangtai Hou, Zhongsheng Advanced Control Systems Lab School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China School of Automation Qingdao University Qingdao266071 China

ISBN: (纸本)9781728114545

An improved model free adaptive control (MFAC) based the iterative feedback tuning (IFT), called IFT-MFAC, is applied to the launch vehicle in this paper. the designed controllers for the launch vehicle with three channels, including the pitch channel, yaw channel and roll channel, are determined based the full form dynamic linearization method by optimizing a given control criterion function. then the determined controller in each channel is transformed into a parameterized form, and controller parameters are tuned by using the IFT method. During the parameter tuning, the Davidon-Fletcher-Powell (DFP) method is adopted to avoid the matrix inversion in the traditional IFT method. the simulation results demonstrate the effectiveness of IFT-MFAC for the attitude control of launch vehicle. © 2019 ieee.

关键词： Attitude control

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data-driven intelligent evaluation of injection-production well pattern 8

Data-driven intelligent evaluation of injection-production w...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Yu, Di Cao, Rongmin Li, Rui School of Automation Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781728114545

Aiming at the time-varying complexity of heterogeneous reservoirs and the current problem of massive data and tiny information in oilfields, an intelligent evaluation system of injection-production well pattern is developed based on data-driven method and computing with words idea in the paper. At first, based on the digital filtering approach, the production data of oil field is processed and the estimation of injection-production relationship is calculated. Secondly, the enhanced interval approach is used to encode the descriptive words of geological information and injection-production relationship so as to obtain the code book. thirdly, According to the useful rule bases and perceptual reasoning outputs of oil field production evaluation obtained in the preliminary work, the recommended output of decision is obtained by using the decoder according to Jaccard similarity measure based interval type-II fuzzy sets. Finally, the effectiveness and practicability of the proposed scheme is testified by production example of inverted nine-point well-pattern of heterogeneous reservoirs with channel sedimentation with the aid of expert verification. © 2019 ieee.

关键词： Fuzzy sets

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data-driven optimal fault-tolerant control for unknown linear systems 8

Data-driven optimal fault-tolerant control for unknown linea...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Yang, Qinmin Ruan, Zhengwei College of Control Science and Engineering Zhejiang University Hangzhou310027 China

ISBN: (纸本)9781728114545

In this paper, optimal fault-tolerant control is investigated for a class of unknown linear systems with multiple actuators subject to actuator faults. To tackle the problem of actuator faults and maintain the nearly optimal systems performance, a novel optimal fault-tolerant control strategy is proposed on account of the real system information, without the necessity of complete knowledge of system matrices. It consists of a switching function method, a novel adaptive control law and an optimal control policy. By optimizing a cost function, an optimal adaptive controller is found to stabilize the system with the approximate dynamic programming technique. the switching function related to the optimal control policy is implemented to locate and reduce the impact of the faulty actuators automatically. Furthermore, all the signals of the closed-loop system are ensured to be uniformly bounded and the stability analysis is rigidly given. Finally, some simulation studies are provided to verify the merits of the proposed method. © 2019 ieee.

关键词： Linear systems

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A networked iterative learning control approach with input packet dropout adjustment factor 8

A networked iterative learning control approach with input p...

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8th ieee data driven control and learning systems conference, ddcls 2019

作者： Zhang, Yamiao Liu, Jian Ruan, Xiaoe School of Energy and Power Engineering Xi'An Jiaotong University China Center for Complex Systems School of Mechano-electronic Engineering Xidian University China School of Mathematics and Statistics Xian Jiaotong University Department of Applied Mathematics China

ISBN: (纸本)9781728114545

this paper proposes an iterative learning control approach with input packet dropout adjustment factor for a class of discrete-time network control systems with random packet dropout. In the scheme, the missing system output signal is replaced by the corresponding desired output signal. In addition, the linear combination of the control signal and the actual system control input signal at the previous iteration is used to drive the controlled system if the control signal generated by iterative learning controller is successfully transmitted, otherwise the actual system input at the previous iteration is directly used to drive the controlled system. It is strictly proved that under certain conditions the actual system output is convergent to the desired system output in the sense of expectation. Finally, an example is given to demonstrate the validity of findings. © 2019 ieee.

关键词： Linear systems

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Application of ADRC in track alignment detection system 8

Application of ADRC in track alignment detection system

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Lei, Yang Xu, Jing Ni, Yongliang Wang, Zhigang Liu, Wenqi China North Vehicle Research Institute Beijing100072 China

ISBN: (纸本)9781728114545

In order to improve the efficiency of track detection, higher requirements are put forward for the stability accuracy of the system in track alignment detection. In this paper, the drive model, control model, disturbance model and measurement error model of the track alignment system are analyzed at the present stage. Under the premise of minimizing the change of the original system, a controller based on ADRC is designed by improving the control algorithm of the existing system. Meanwhile, the relevant control parameters are analyzed. through MATLAB simulation, the response speed of this algorithm is faster than PID control and the phase lag is reduced in position tracking. It is easy to be implemented in engineering for the control algorithm. In the experiment, the stability accuracy of the system is improved under different frequency disturbance. It provides a powerful guarantee for the efficient track detection, operation and maintenance. © 2019 ieee.

关键词： three term control systems

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