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Jian Xiao - IEEE Xplore Author Profile

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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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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

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 |