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第37届中国控制会议

作者： Yu-Qun Han Hong-Sen Yan School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

This paper focuses on the problem of multi-dimensional Taylor network(MTN)-based adaptive tracking control for a class of nonlinear systems with input *** preliminaries,the saturation is first presented by a smooth function,and then a novel MTN-backstepping-based adaptive control method is designed on the basis of the Lyapunov stability *** is shown that the proposed control method can guarantee that all the signals in the closed-loop system are bounded and the tracking error converges to an arbitrarily small neighborhood around the ***,one example is given to illustrate the effectiveness of the proposed design approach.

关键词： Multi-dimensional Taylor Network adaptive tracking control nonlinear systems input constraints

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Multi-dimensional Taylor Network Optimal control of the Axisymmetric Cruise Missile Flight

Multi-dimensional Taylor Network Optimal Control of the Axis...

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第三届机电控制技术与交通运输国际学术会议

作者： Yongyan Ge Hongsen Yan Lingchen Xia School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

In this paper, we present the design of the multi-dimensional Taylor network(MTN) optimal controller in the flight control of cruise missile. The MTN optimal control, which combines the classical architecture of feedback control system and the new controller structure, it is not only suitable for the analysis of the stability of the closed-loop system, but also for the control of nonlinear systems with mechanism known or unknown models. Firstly, this paper will briefly introduce the theoretical basis of the MTN optimal control. Secondly, the characteristics of the missile mathematical model and the theory of missile control will be explained, accompanied with the design of controller. Finally, the feasibility of the method is validated through numerical simulation of the PID controller, PIDNN controller and the MTN optimal controller. The results show that the MTN optimal controller has the best control effect of them.

关键词： Missile control Multi-dimensional Taylor network(MTN) controller Attitude control Optimal control

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A Dynamic Colored Traveling Salesman Problem and Its Solution 36

A Dynamic Colored Traveling Salesman Problem and Its Solutio...

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第36届中国控制会议

作者： Xianghu Meng Jun Li Xianzhong Dai Ministry of Education Key Laboratory of Measurement and Control of Complex Engineering Systems Southeast University

ISBN: (纸本)9781538629185

The colored traveling salesman problem(CTSP) is a generalization of the well-known multiple traveling salesman problem(MTSP). In CTSP, each city has one to multiple colors, allowing a salesman in the same color to visit exactly once. This work presents a dynamic CTSP(DCTSP) in which the weights of edges among the cities change over time. To solve the DCTSP, we propose a variable neighborhood search(VNS) algorithm with a direct-route encoding and random initialization. The VNS is initialized by greedy operations at two stages and an appropriate population immigrant scheme is used in it to perform the population search in the dynamic environment. Extensive experiments are conducted to test the effectiveness of the greedy initialization and the immigrant scheme with the best population. The results show that the enhanced VNS can track the environment changes of DCTSP more rapidly and effectively.

关键词： Dynamic colored traveling salesman problem Variable neighborhood search Dynamic optimization problem

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On the Robust control of Compliantly Actuated Robots With Mismatched Disturbances

On the Robust Control of Compliantly Actuated Robots With Mi...

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第37届中国控制会议

作者： Huiming Wang Meihua Ke Qinggao Lu Qingdu Li Chongqing Key Laboratory of Complex Systems and Bionic Control and Key Laboratory of Industrial Internet of Things & Networked ControlMinistry of EducationChongqing University of Posts and Telecommunications Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University

In this paper,we describe a general control framework for output reference trajectory tracking of compliantly actuated robots in the presence of time-varying *** order to obtain strong robustness and attenuate chattering,a continuous sliding mode control（CSMC） design is ***,this CSMC structure can not guarantee the high tracking performance of the closed loop system since exiting mismatched time-varying disturbances in compliantly actuated *** to the significance of dealing with the mismatched problem,a new sliding surface with the assistance of generalized proportional integral observers（GPIOs）,which only use the position measurement of the motor and link,is designed such that system states can be driven to equilibrium ***,under this proposed general control framework,called the CSMC+GPIO scheme,the robustness of compliant robot systems is further enhanced since matched disturbance estimation is used to ***,a detailed stability analysis of the closed loop system under the proposed approach is *** results are provided to illustrate the promised position tracking performance of the proposed control strategy under the different test conditions.

关键词： Sliding mode control（SMC） generalized proportional integral observer（GPIO） compliant actuator mismatched disturbance disturbance attenuation

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A Deep Learning Approach for Face Detection and Location on Highway

A Deep Learning Approach for Face Detection and Location on ...

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2018 2nd International Conference on Artificial Intelligence Applications and Technologies (AIAAT2018)

作者： Yang Zhang Peihua Lv Xiaobo Lu School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University

Face detection and location technique is a hot research direction during recent years. Especially, driver face detection on highway is still a challenging problem in social safty deserving research. This paper proposes a novel algorithm based on the improved Multi-task Cascaded Convolutional Networks(MTCNN) and Support Vector Machine(SVM) to realize accurate face region detection and feature location of driver's face on highway, predicting face and feature location via a coarse-to-fine pattern. The proposed algorithm is verified under various complex highway conditions. Experimental results show that the proposed model shows satisfied performance compared to other state-of-the-art techniques used in driver face detection and alignment, keeping robust to the occlusions, varying pose and extreme illumination on highway.

关键词： Driver face detection Face alignment Convolutional Networks Support Vector Machine

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Single Image Depth Level Estimation Using Dark Channel Prior

Single Image Depth Level Estimation Using Dark Channel Prior

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2018 2nd International Conference on Artificial Intelligence Applications and Technologies (AIAAT2018)

作者： Yichao Cao Xiaobo Lu School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University

In this paper, we present a simple image depth level estimation algorithm. From the dark channel prior theory, an estimate of the air transmittance in the image is calculated. In wild surveillance, the disparity in the image poses a huge challenge for smoke detection and other video analysis tasks. Appropriate depth level estimation provide significant prior knowledge for subsequent identification and detection. For landscape images, we can approximate the air transmittance to depth information for histogram analysis. The depth value is segmented by a multi-threshold segmentation algorithm, and the resulting image can be used for forest fireworks detection and the like. This method does not rely on samples and classifiers, and the algorithm does not require training. The final experimental results show that the depth level estimation of a single landscape image based on the dark channel prior can achieve good results.

关键词： image Single Image Depth Level Estimation Using Dark Channel Prior

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On Comparing Six Optimization Algorithms for Network-based Wind Speed Forecasting

On Comparing Six Optimization Algorithms for Network-based W...

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第37届中国控制会议

作者： Huanjie Tao Xiaobo Lu School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University

Network-based wind speed forecasting has played an important role in the power system. The network parameters optimization is an important issue, and different optimization algorithms are believed to result in different forecasting accuracies. In this paper, six network parameters optimization algorithms, including Gradient descent, Momentum, Ada Grad, RMSprop, Adam, and Adadelta, are implemented and compared in the application of wind speed forecasting. As a case study, this paper uses a wind speed data obtained from Ningxia, China. The performance is evaluated by three metrics, namely, mean absolute error（MAE）, root mean square error（RMSE）, and mean absolute percentage error（MAPE）. The experiment results show that, Adam algorithm and RMSprop algorithm achieve better forecasting accuracy and less training time than the other optimization algorithms. This study can be a guide to the selection of optimization algorithms on wind speed forecasting problems for researchers.

关键词： Wind speed forecasting Back-propagation neural network Forecasting accuracy Optimization algorithms

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A game theoretical approach for distributed resource allocation with uncertainty

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International Journal of Intelligent Computing and Cybernetics 2017年第1期10卷 52-67页

作者： Lei Xue Changyin Sun Fang Yu Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast UniversityNanjingPeople’s Republic of China

Purpose-The paper aims to build the connections between game theory and the resource allocation problem with general *** proposes modeling the distributed resource allocation problem by Bayesian *** this paper,three basic kinds of uncertainties are ***,the purpose of this paper is to build the connections between game theory and the resource allocation problem with general ***/methodology/approach-In this paper,the Bayesian game is proposed for modeling the resource allocation problem with *** basic game theoretical model contains three parts:agents,utility function,and decision-making ***,the probabilistic weighted Shapley value(WSV)is applied to design the utility function of the *** achieving the Bayesian Nash equilibrium point,the rational learning method is introduced for optimizing the decision-making process of the ***-The paper provides empirical insights about how the game theoretical model deals with the resource allocation problem uncertainty.A probabilistic WSV function was proposed to design the utility function of ***,the rational learning was used to optimize the decision-making process of agents for achieving Bayesian Nash equilibrium *** comparing with the models with full information,the simulation results illustrated the effectiveness of the Bayesian game theoretical methods for the resource allocation problem under ***/value-This paper designs a Bayesian theoretical model for the resource allocation problem under *** relationships between the Bayesian game and the resource allocation problem are discussed.

关键词： Game theory Multi-agent systems Bayesian games Resource allocation under uncertainty Paper type Research paper

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Finite-time control for DC-DC Boost Converter Using Nonsingular Terminal Sliding Modes via Exact Feedback Linearization 36

Finite-time Control for DC-DC Boost Converter Using Nonsingu...

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第36届中国控制会议

作者： Jie Pan Hongyu Cui Zuo Wang Shihua Li Qi Li Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast University

ISBN: (纸本)9781538629185

This paper investigates a finite-time disturbance observer（FTDO） based nonsingular terminal sliding mode control（NTSMC） approach for DC-DC boost converter *** using exact feedback linearization theory and control method to solve the output voltage regulation problem under the load resistance changes and external input voltage *** the disturbance estimated by FTDO into the design of the nonlinear dynamic sliding mode surface,a finite-time NTSMC method is developed to reject the effects of mismatched disturbances and achieve finite-time tracking *** compared with the nominal NTSMC method,the proposed method obtains a better disturbance rejection ability no matter the disturbances satisfy the matching condition or *** is shown that the stability of closed-loop system can be guaranteed by the proposed *** comparison results are displayed to demonstrate the robustness of the proposed controller against input voltage variations and load uncertainties.

关键词： DC-DC Boost Converter Nonsingular Terminal Sliding Mode control（NTSMC） Finite-time Disturbance Observer（FTDO） Mismatched Disturbances Load Resistance Uncertainties External Input Voltage Variations

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Multi-dimensional Taylor Network Optimal control for Ship Roll Stabilization 2

Multi-dimensional Taylor Network Optimal Control for Ship Ro...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Peng Zhang Hong-Sen Yan Yang Yang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

Ships stability and safety are always threatened by the unavoidable sway in the complicated situation of the sea, *** wind and roaring waves. Ensuring the stability of the ship as a difficult t

ISBN: (纸本)9781467389808

Ships stability and safety are always threatened by the unavoidable sway in the complicated situation of the sea, *** wind and roaring waves. Ensuring the stability of the ship as a difficult t

关键词： Marine vehicles Force Torque Hydrodynamics Optimal control Harmonic analysis

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