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2014 4th IEEE International Conference on information Science and Technology

作者： Zhonglin Zhang Jing Xiong Yangzhou Gan Dongwen Zhang Zeyang Xia Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences School of Electronic Engineering and Automation Guilin University of Electronic Technology Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China

In this paper, a semi-physical simulation platform of robot teleoperation system is designed, and a combined control approach using Jacobian matrix and Proportional-Derivative(PD) algorithm is proposed. A digital low-pass filter is designed to eliminate noise signal caused by hand-vibration of surgeons. The advantages of the proposed approach include easy implementation, real-time response and accurate master-slave tracking. The results of semi-physical simulation validated that the proposed approach realized accurate master-slave tracking for puncture surgery and the noise caused by hand-vibration was eliminated effectively.

关键词： robotic puncture surgery teleoperation Jacobian matrix PD control algorithm vibration elimination

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Receding Horizon control and Scheduling of Quantized control systems with Communication Constraints

Receding Horizon Control and Scheduling of Quantized Control...

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IEEE Annual Conference on Decision and control

作者： Yuanyuan Zou Yugang Niu Shaoyuan Li Dewei Li Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai 200237 China Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China

ISBN: (纸本)9781467360890

This paper investigates the problem of joint design of a receding horizon control and the medium access scheduling for quantized control systems over limited bandwidth networks, in which only a limited number of actuators are allowed to communicate with the controller at each time instant. By introducing a communication scheduling matrix to describe the medium access status and considering the influence of quantizers, we can model the control system as a switched model with structured norm-bounded uncertainties. The stabilizing channels with guaranteed stability are chosen first. Based on the stabilizing channels, a receding horizon control strategy with optimal dynamic resource allocation is proposed by minimizing the upper bound on a finite-horizon quadratic performance index. Simulation results show the effectiveness of the developed method finally.

关键词： control systems Media Access Horizon quantizer control strategy Stabilising Communication Research Resource utilization actuators quadratic performance index

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Maximum power point tracking for photovoltaic system using model predictive control

Communications in Computer and Information Science

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Communications in Computer and information Science 2013年 355卷 515-523页

作者： Ma, Chao Li, Ning Li, Shaoyuan Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China

In this paper, T-G-P model is built to find maximum power point according to light intensity and temperature, making it easier and more clearly for photovoltaic system to track the MPP. A predictive controller considering constraints for safe operation is designed. The simulation results show that the system can track MPP quickly, accurately and effectively. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Maximum power point trackers

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A unified framework for optimality analysis of model predictive control

A unified framework for optimality analysis of model predict...

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World Congress on Intelligent control and automation (WCICA)

作者： Xin Cai Shaoyuan Li Ning Li Kang Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Shanghai P.R. China Electrical Engineering and Computer Science Queen's University Belfast Belfast UK

As well-known, model predictive control is closely related to optimal control. This paper studies relationships between them and provides a unified framework for optimality analysis of model predictive controllers (MPC). The optimality is evaluated by comparing total performance of MPC with finite and infinite horizon optimal cost. Based on relaxed value iteration method, upper and lower bounds of optimality evaluation functions are expressed explicitly in terms of optimization horizon. These results reveal detailed characteristics on performance of closed-loop MPC systems due to using “receding horizon optimization” implementation style.

关键词： Optimal control Nonlinear systems Cost function Predictive control Predictive models

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Mixed H2/H∞Model Predictive control for systems with Energy-bounded Disturbance

Mixed H2/H∞Model Predictive Control for Systems with Energy...

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第三十二届中国控制会议

作者： LI Jiwei LI Dewei XI Yugeng LU Jianbo Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education

ISBN: (纸本)9781479900305

This paper designs a mixed H/Hmodel predictive algorithm for systems with energy-bounded *** formulation of H/Hperformance in previous work is improved by introducing a slack ***,we decouple the formulation of H/Hperformance from the formulation of input and state constraints by dilated LMI *** two aspects are combined to develop a less conservative control *** feasibility of the algorithm is able to be proved and stability of the controlled system is *** example shows the effectiveness of the proposed algorithm.

关键词： Mixed H2/H_∞control model predictive control dilated LMI technique constraints

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Multiple-model Off-line Predictive control for Fast Time-varying systems

Multiple-model Off-line Predictive Control for Fast Time-var...

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第25届中国控制与决策会议

作者： Xiangyuan Tao Ning Li Shaoyuan Li the department of Automation Shanghai Jiao Tong University and key laboratory of system control and information processing ministry of education

ISBN: (纸本)9781467355339

To track the wide range of operating points of fast time-varying processes, a novel multiple model off-line predictive control algorithm is presented. The proposed method is a combination of multiple model strategy and predictive control. Firstly, we locally describe the original nonlinear system around an operating point employing linear time varying (LTV) model. Then the offline model predictive control (OMPC) algorithm is adopted to design local controller for LTV model, whose low computation burden makes it be able to control the fast time-varying process. To track the wide range of operating point, the multiple-model strategy is exploited. By estimating the stable region of local OMPC and selecting appropriate middle operating points, the stable switch between controllers can be guaranteed. Finally, a numerical simulation is given to illustrate the implementation and effectiveness of the proposed method.

关键词： Multiple model offline robust model predictive control large operating regions switching stability.

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A Fast Algorithm for MPC Based on Aggregation Strategy

A Fast Algorithm for MPC Based on Aggregation Strategy

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第25届中国控制与决策会议

作者： Cunsheng Lu Dewei Li Yugeng Xi Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467355339

Improving the computational efficiency for model predictive control (MPC) becomes the focus of recent researches. This paper proposes a fast algorithm to solve the quadratic programming (QP) problem of MPC for systems with only input constraints. This algorithm improves the efficiency of the fast gradient approach. Inspired by the multiplexed way, this algorithm searches a better solution of QP problem along the direction of one input channel in every iteration. Meanwhile, in order to further reduce the online computational complexity, the proposed algorithm applies the aggregation strategy to each input channel. Due to the aggregation strategy and the determined optimization direction, the proposed algorithm reduces the number of vector multiplications of each iteration, i.e. with less online computational complexity than previous works. Applying the proposed algorithm, simulations for a system with 3 inputs show that computational efficiency of this algorithm can reach a level of tens of microseconds in Matlab environment.

关键词： Model Predictive control, Quadratic Programming, Aggregation strategy, Computational Complexity

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Prediction of TBM Penetration Rate Based on The Model of PLS-FNN

Prediction of TBM Penetration Rate Based on The Model of PLS...

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第25届中国控制与决策会议

作者： Fei Ling Wang Jingcheng Ge Yang Li Chuang Zhang Langwen Department of Automation Shanghai Jiaotong University and Key Laboratory of System Control and Information Processing Ministry Of Education Of China

ISBN: (纸本)9781467355339

Many researches on the prediction of the penetration rate of the tunneling boring machine (TBM) have been carried out. The prediction of the penetration rate will contribute to reduce the danger of TBM construction, decrease the cost and provide the support for the construction planning. Most methods for predicting penetration rate rely on the fixed equation relationship between the input parameters and output parameters. In this paper, we build up a dynamic model. We mainly make use of the partial least squares regression algorithm (PLS) and the structure of the fuzzy-neuron network (FNN) to build up the model. All the data should be normalized. We randomly select 120 groups of the data from TBM construction as the training data and 33 groups of data as the testing data. The training and testing results are analyzed by the mean square error and the correlation coefficient. At the same time, we compare the prediction of the PLS-FNN model with the prediction of the FNN model. The simulation result shows that the PLS-FNN model has the good performance for the prediction.

关键词： TBM, Rate Of Penetration, PLS, Fuzzy-Neuron Network

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Saturated Scheduling Anti-windup Design: Static Case

Saturated Scheduling Anti-windup Design: Static Case

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第26届中国控制与决策会议

作者： Xiongjun Wu Kun Cai Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation

A saturation allowed scheduled anti-windup design method is proposed in this paper for the linear systems subject to input saturation. We introduced the scheduled controller design method into the anti-windup scheme, in which a family of controllers are designed. These controllers are activated depending on the response of the system, rather than only considering the worst noise case off-line. Also, the delayed activation scheme is introduced into the scheduled antiwindup mechanism, i.e., the physical actuator is activated when it really need to, and then the most aggressive controller is activated. In this proposed scheme, since the saturation is allowed and no hard constraint is needed to imposed on the controller input, we can makes fuller utilization of the available actuator capacity. The proposed anti-windup scheme provides the system stability and guaranteed peak-to-peak gain. The control strategy is carried out under the scheme of state feedback and the main results are presented in linear matrix inequality forms. The advantage of the proposed saturated allowed scheduling anti-windup scheme against the traditional saturation avoid method is illustrated through a numerical example.

关键词： Actuator saturation,saturated anti-windup,peak-to-peak gain,scheduling control.

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Crawling Gait Planning for a Quadruped Robot with High Payload Walking on Irregular Terrain

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IFAC Proceedings Volumes 2014年第3期47卷 2153-2158页

作者： Nan Hu Shaoyuan Li Dan Huang Feng Gao Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai 200240 China School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai 200240 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China

Walking on irregular terrain is usually a common task for a quadruped robot. It is however difficult to control the robot in this situation as undesirable impulse force by collision between the foot of robot and obstacles makes the robot unstable. This paper presents a hybrid Force-Posture Feedback Compensation (FPFC) controller for a quadruped robot with high payload walking on irregular terrain. In order to make the robot walk stably on irregular terrain, the proposed controller utilizes the feedback signals detected by force sensor and gyroscope to adjust every leg of the robot in real-time. The foot trajectory is scheduled based on the Bezier curve method in order to improve the stability of quadruped robot. Simulations of crawling gait on irregular terrain have been performed. The results have verified that the proposed methods have better stability and performance for walking on the irregular terrain.

关键词： Quadruped robot gait planning trajectory planning kinematics

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