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Jian Xiao

Publications
17
Citations
371
Publications by Year
20062018
Co-Authors:
Show All Co-Authors (33)
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Jian Xiao

Affiliation

School of Electrical Engineering
Southwest Jiaotong University
Chengdu, China

Publication Topics

Biography

Jian Xiao received the M.Sc. degree in electrical engineering from Hunan University, Changsha, China, in 1982 and the Ph.D. degree in electrical engineering from Southwest Jiaotong University, Chengdu, China, in 1989.,From 1992 to 1993, he was a Postdoctor at Polytechnic University of Milan, Italy. He has been a Professor in the School of Electrical Engineering, Southwest Jiaotong University, since 1994. He was also a Guest Professor in Hunan University in 1995, at Eastern Jiaotong University in 2002, the University of Leoben in 2003, and Lanzhou Jiaotong University in 2011.(Based on document published on 9 June 2017).
Publications
17
Citations
371
Publications by Year
20062018
Co-Authors:
Show All Co-Authors (33)
Author's Published Works

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Short-Term Solar Power Forecasting Based on Weighted Gaussian Process Regression

Hanmin Sheng;Jian Xiao;Yuhua Cheng;Qiang Ni;Song Wang

IEEE Transactions on Industrial Electronics
Year: 2018 | Volume: 65, Issue: 1 | Journal Article |
Cited by: Papers (241)
Photovoltaic (PV) power is volatile in nature and raises the level of uncertainty in power systems. PV power forecasting is an important measure to solve this problem. It helps to improve the reliability and reduces the generation cost. Advances in computer technology and sensors make the numeric modeling methods a hotspot in the field of PV power forecasting. However, data modeling methods strong...Show More

Short-Term Solar Power Forecasting Based on Weighted Gaussian Process Regression

Hanmin Sheng;Jian Xiao;Yuhua Cheng;Qiang Ni;Song Wang

Year: 2018 | Volume: 65, Issue: 1 | Journal Article |

Decentralized adaptive strategies for synchronization of fractional-order complex networks

Quan Xu;Shengxian Zhuang;Yingfeng Zeng;Jian Xiao

IEEE/CAA Journal of Automatica Sinica
Year: 2017 | Volume: 4, Issue: 3 | Journal Article |
Cited by: Papers (31)
This paper focuses on synchronization of fractionalorder complex dynamical networks with decentralized adaptive coupling. Based on local information among neighboring nodes, two fractional-order decentralized adaptive strategies are designed to tune all or only a small fraction of the coupling gains respectively. By constructing quadratic Lyapunov functions and utilizing fractional inequality tech...Show More

Decentralized adaptive strategies for synchronization of fractional-order complex networks

Quan Xu;Shengxian Zhuang;Yingfeng Zeng;Jian Xiao

Year: 2017 | Volume: 4, Issue: 3 | Journal Article |

Lithium Iron Phosphate Battery Electric Vehicle State-of-Charge Estimation Based on Evolutionary Gaussian Mixture Regression

Hanmin Sheng;Jian Xiao;Peng Wang

IEEE Transactions on Industrial Electronics
Year: 2017 | Volume: 64, Issue: 1 | Journal Article |
Cited by: Papers (41)
Lithium batteries have the characteristics of high energy density and charge-discharge rate, but exhibit high chemical activity. State-of-charge (SOC) estimation is critical to the lithium battery electric vehicle (EV) operation safety. In this paper, a novel SOC estimation method is proposed based on Gaussian process regression. A mixture Gaussian process is used in this model to strengthen the r...Show More

Lithium Iron Phosphate Battery Electric Vehicle State-of-Charge Estimation Based on Evolutionary Gaussian Mixture Regression

Hanmin Sheng;Jian Xiao;Peng Wang

Year: 2017 | Volume: 64, Issue: 1 | Journal Article |

Reliable tracking control for high speed train against actuator failures: A parallel control architecture

Weiming Xiang;Jian Xiao

17th International IEEE Conference on Intelligent Transportation Systems (ITSC)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
In this paper, the reliable tracking control problem for high speed trains against actuator failures is addressed. A multiple-point-mass model for the high speed train against actuator failures is presented, in which the actuator failures including both partial loss of actuator effectiveness and complete breakdown are characterized by unknown varying parameters. A parallel control architecture is ...Show More

Reliable tracking control for high speed train against actuator failures: A parallel control architecture

Weiming Xiang;Jian Xiao

Year: 2014 | Conference Paper |

A wheel slip detection method of electric locomotive based on time-frequency analysis

Jingchun Huang;Jian Xiao;Dan Zhao;Song Wang

17th International IEEE Conference on Intelligent Transportation Systems (ITSC)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
Rapid and effective identification of wheel slip plays an important significance to improve traction force of electric locomotive. A novel detection method of wheel slip was studied in this paper. Firstly, the Hilbert energy spectrum of wheel speed was calculated with the Hilbert-Huang Transform method. The tendency of wheel slip was obtained with the energy spectrum change. Then the acceleration ...Show More

A wheel slip detection method of electric locomotive based on time-frequency analysis

Jingchun Huang;Jian Xiao;Dan Zhao;Song Wang

Year: 2014 | Conference Paper |

Real-time signalization for an oversaturated intersection via switched system approach

Weiming Xiang;Jian Xiao

Proceedings of the 33rd Chinese Control Conference
Year: 2014 | Conference Paper |
In this paper, the traffic-responsive signalization problem for an oversaturated intersection is addressed. A static state feedback control strategy is presented to relieve the waiting vehicles in lanes. By modeling the intersection as a discrete-time switched system, the green time of each phase in signalization is determined by a set of linear state feedback controller, and moreover, in order to...Show More

Real-time signalization for an oversaturated intersection via switched system approach

Weiming Xiang;Jian Xiao

Year: 2014 | Conference Paper |

A fuzzy Lyapunov function approach to stabilization of interval type-2 T-S fuzzy systems

Tao Zhao;Jian Xiao;Ye Li;YiXing Li

2013 25th Chinese Control and Decision Conference (CCDC)
Year: 2013 | Conference Paper |
This paper focuses on deriving the stability conditions of interval type-2 fuzzy-model-based (FMB) control system formed by the interval type-2 T-S fuzzy model and the interval type-2 T-S fuzzy controller connected in a closed loop. To reduce the conservativeness of stability analysis, a fuzzy Lyapunov function, considering the property of membership functions, is adopted. The stability conditions...Show More

A fuzzy Lyapunov function approach to stabilization of interval type-2 T-S fuzzy systems

Tao Zhao;Jian Xiao;Ye Li;YiXing Li

Year: 2013 | Conference Paper |

An interval type-2 fuzzy c-means algorithm based on spatial information for image segmentation

Cunyong Qiu;Jian Xiao;Long Yu;Lu Han

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
Year: 2011 | Conference Paper |
Cited by: Papers (3)
Fuzzy c-means algorithm (FCM) is a classic algorithm used in image segmentation. However, FCM is founded with type-1 fuzzy sets, which cannot handle the uncertainties existing in images and algorithm itself. The interval type-2 fuzzy c-means algorithm (IT2FCM) has better performance on handling uncertainties. But for image segmentation, IT2FCM hasn't taken the spatial information of images into ac...Show More

An interval type-2 fuzzy c-means algorithm based on spatial information for image segmentation

Cunyong Qiu;Jian Xiao;Long Yu;Lu Han

Year: 2011 | Volume: 1 | Conference Paper |

Finite-time stability analysis for switched linear systems

Weiming Xiang;Jian Xiao;Chengyong Xiao

2011 Chinese Control and Decision Conference (CCDC)
Year: 2011 | Conference Paper |
Cited by: Papers (5)
In this paper, the finite-time stability analysis problems for switched linear system are addressed. Several sufficient conditions for finite-time boundness of switched system are proposed. It is proved that finite-time boundness is related to both subsystems and switching signal. Furthermore, by comparing proposed results, it is shown that the more information about the signal is known, the less ...Show More

Finite-time stability analysis for switched linear systems

Weiming Xiang;Jian Xiao;Chengyong Xiao

Year: 2011 | Conference Paper |

Research of Variable Gain Nonlinear PI Controller Based Three-Phase Phase-Locked-Loop System

Xiaochu Qiu;Jian Xiao;Xiaochu Qiu;Changdong Wu

2010 International Conference on Electrical and Control Engineering
Year: 2010 | Conference Paper |
Cited by: Papers (4)
Three phase Phase-Locked-Loop is an important part of active power filter. In order to improve the behaviors of the conventional PLL system (CPLL), a novel control method of variable gain nonlinear PI controller based three phase PLL system (NLPLL) is proposed in this paper. As the proportional gain and integral gain of the nonlinear PI controller can adapt variety of the phase error, the schemati...Show More

Research of Variable Gain Nonlinear PI Controller Based Three-Phase Phase-Locked-Loop System

Xiaochu Qiu;Jian Xiao;Xiaochu Qiu;Changdong Wu

Year: 2010 | Conference Paper |

An inclusion measure between general type-2 fuzzy sets

Gao Zheng;Jian Xiao;Yong Zhang;Gaofeng Shi

2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery
Year: 2010 | Conference Paper |
Cited by: Papers (5)
The inclusion measure indicates the degree that a fuzzy set is contained in another fuzzy set and can be used in many fields. However, the inclusion measure between type-2 fuzzy sets has received little attention. Hence in this paper, we propose an inclusion measure for general type-2 fuzzy sets. Firstly, we select an axiomatic definition for the new inclusion measure. Then, according to the selec...Show More

An inclusion measure between general type-2 fuzzy sets

Gao Zheng;Jian Xiao;Yong Zhang;Gaofeng Shi

Year: 2010 | Volume: 1 | Conference Paper |

Robust Interval Type-2 Possibilistic C-means Clustering and its Application for Fuzzy Modeling

Long Yu;Jian Xiao;Gao Zheng

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery
Year: 2009 | Conference Paper |
Cited by: Papers (4)
This paper presents a robust interval type-2 possibilistic C-means (IT2PCM) clustering algorithm which is actually alternating cluster estimation, but membership functions are selected with interval type-2 fuzzy sets by the users. The cluster prototypes are calculated by type reduction combined with defuzzification; consequently they could be directly extracted to generate interval type-2 fuzzy ru...Show More

Robust Interval Type-2 Possibilistic C-means Clustering and its Application for Fuzzy Modeling

Long Yu;Jian Xiao;Gao Zheng

Year: 2009 | Volume: 4 | Conference Paper |

Multirate Input Control for Fuzzy Systems Based on Disk-Pole Placement

Lin Jiang;Jian Xiao;Cong Zhou;Jinlin Gong

2008 3rd International Conference on Innovative Computing Information and Control
Year: 2008 | Conference Paper |
A new multirate fuzzy control technique for continuous-time nonlinear systems is presented in this paper. First, the lifted Takagi-Sugeno(T-S) fuzzy model of the plant is constructed subject to linear matrix inequalities (LMIs). Then, a multirate input controller for the multiple T-S linear models, based on the design of the local feedback controllers using optimal diskpole (D-pole) placement, is ...Show More

Multirate Input Control for Fuzzy Systems Based on Disk-Pole Placement

Lin Jiang;Jian Xiao;Cong Zhou;Jinlin Gong

Year: 2008 | Conference Paper |

A New Fuzzy Modeling Approach Based on Support Vector Regression

Long Yu;Jian Xiao;Yifeng Bai

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)
Year: 2007 | Conference Paper |
New interpretable kernels created by conjoining the univariate fuzzy membership functions with a t-norm operator are proposed in this paper. Based on support vector regression with presented kernel, a learning algorithm consisting of two phases is developed to construct fuzzy system. In the first phase, the support vector regression learning model provides architecture to extract support vectors f...Show More

A New Fuzzy Modeling Approach Based on Support Vector Regression

Long Yu;Jian Xiao;Yifeng Bai

Year: 2007 | Volume: 3 | Conference Paper |

A Multiple Models Approach for Adaptive Predictive Control of Networked Control Systems

Chunmao Li;Jian Xiao;Lili Chu;Junhua Liu

Third International Conference on Natural Computation (ICNC 2007)
Year: 2007 | Conference Paper |
Cited by: Papers (1)
A real-time, self-learning, multiple models adaptive predictive control algorithm is proposed for Networked Control Systems(NCS), which can deal with different distributions of time delay introduced by a communication network or a field bus. The algorithm keeps updating the dynamic models in a model bank, and uses an adaptive model to track the parameter changes of NCS. In the mean time, it uses a...Show More

A Multiple Models Approach for Adaptive Predictive Control of Networked Control Systems

Chunmao Li;Jian Xiao;Lili Chu;Junhua Liu

Year: 2007 | Volume: 2 | Conference Paper |

Model Reference Adaptive Control of Asynchronized Synchronous Motor Based on Neural Network On-Line Identification

Li Liu;Xiaoqiong He;Jian Xiao;Helmut Weiss

2006 12th International Power Electronics and Motion Control Conference
Year: 2006 | Conference Paper |
From system control point of view, asynchronized synchronous motor is a complex nonlinear plant with uncertainties, and is hard to be controlled by traditional control method. An excitation control method based on model reference adaptive control of asynchronized synchronous motor using neural network on-line identification is proposed in this paper. This method utilizes the mapping abilities of n...Show More

Model Reference Adaptive Control of Asynchronized Synchronous Motor Based on Neural Network On-Line Identification

Li Liu;Xiaoqiong He;Jian Xiao;Helmut Weiss

Year: 2006 | Conference Paper |

Discussion on “Stability, $l _{2}$-Gain and Asynchronous $H _{\infty }$ Control of Discrete-Time Switched Systems With Average Dwell Time”

Weiming Xiang;Jian Xiao

IEEE Transactions on Automatic Control
Year: 2012 | Volume: 57, Issue: 12 | Journal Article |
Cited by: Papers (32)

Discussion on “Stability, $l _{2}$-Gain and Asynchronous $H _{\infty }$ Control of Discrete-Time Switched Systems With Average Dwell Time”

Weiming Xiang;Jian Xiao

Year: 2012 | Volume: 57, Issue: 12 | Journal Article |

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