Northeast Petroleum University

www.dqpi.edu.cn/default.html
Daqing, China

Northeast Petroleum University is a national key institution of higher learning in the People's Republic of China.The institute was founded in 1960, formerly called Northeast Petroleum Institute. In 1975, it was renamed Daqing Petroleum Institute. In October 1978, the institute was accredited by the State Council with being one of 88 national key universities and colleges. Since February 2000, the institute has been under the jurisdiction of both central and provincial governments, and has been mainly administered by Heilongjiang Province. In June 2000, the provincial government approved the relocation scheme from Anda to Daqing, which was completed in October 2002. The college was renamed Northeast Petroleum University in 2010. Wikipedia.

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Dong H.,Harbin Institute of Technology | Dong H.,Northeast Petroleum University | Wang Z.,Tsinghua University | Wang Z.,Brunel University | Gao H.,Harbin Institute of Technology
IEEE Transactions on Industrial Electronics | Year: 2013

This paper is concerned with the distributed H∞ filtering problem for a class of discrete-time Markovian jump nonlinear time-delay systems with deficient statistics of mode transitions. The system measurements are collected through a lossy sensor network subject to randomly occurring quantization errors and randomly occurring packet dropouts. The description of deficient statistics of mode transitions that account for known, unknown, and uncertain transition probabilities is comprehensive. A distributed filter design scheme is outlined by explicitly characterizing the filter gains in terms of some matrix inequalities. Simulation results demonstrate the effectiveness of the proposed filtering scheme. © 1982-2012 IEEE.


Dong H.,Harbin Institute of Technology | Dong H.,Northeast Petroleum University | Wang Z.,Tsinghua University | Wang Z.,Brunel University | Gao H.,Harbin Institute of Technology
IEEE Transactions on Signal Processing | Year: 2012

This paper is concerned with the distributed finite-horizon filtering problem for a class of time-varying systems over lossy sensor networks. The time-varying system (target plant) is subject to randomly varying nonlinearities (RVNs) caused by environmental circumstances. The lossy sensor network suffers from quantization errors and successive packet dropouts that are described in a unified framework. Two mutually independent sets of Bernoulli distributed white sequences are introduced to govern the random occurrences of the RVNs and successive packet dropouts. Through available output measurements from not only the individual sensor but also its neighboring sensors according to the given topology, a sufficient condition is established for the desired distributed finite-horizon filter to ensure that the prescribed average filtering performance constraint is satisfied. The solution of the distributed filter gains is characterized by solving a set of recursive linear matrix inequalities. A simulation example is provided to show the effectiveness of the proposed filtering scheme. © 2012 IEEE.


Dong H.,Harbin Institute of Technology | Dong H.,Northeast Petroleum University | Wang Z.,Brunel University | Gao H.,Harbin Institute of Technology
IEEE Transactions on Signal Processing | Year: 2010

In this paper, the robust H∞ filtering problem is studied for a class of uncertain nonlinear networked systems with both multiple stochastic time-varying communication delays and multiple packet dropouts. A sequence of random variables, all of which are mutually independent but obey Bernoulli distribution, are introduced to account for the randomly occurred communication delays. The packet dropout phenomenon occurs in a random way and the occurrence probability for each sensor is governed by an individual random variable satisfying a certain probabilistic distribution in the interval [0 1]. The discrete-time system under consideration is also subject to parameter uncertainties, state-dependent stochastic disturbances and sector-bounded nonlinearities. We aim to design a linear full-order filter such that the estimation error converges to zero exponentially in the mean square while the disturbance rejection attenuation is constrained to a give level by means of the H∞ performance index. Intensive stochastic analysis is carried out to obtain sufficient conditions for ensuring the exponential stability as well as prescribed H∞ performance for the overall filtering error dynamics, in the presence of random delays, random dropouts, nonlinearities, and the parameter uncertainties. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities (LMIs), and then the explicit expression is given for the desired filter parameters. Simulation results are employed to demonstrate the effectiveness of the proposed filter design technique in this paper. © 2006 IEEE.


Li P.,Northeast Petroleum University | Xiao H.,Northeast Petroleum University
Applied Intelligence | Year: 2014

In this paper, we propose some improvements that enhance the optimization ability of quantum-behaved particle swarm optimization algorithms. First, we propose an encoding approach based on qubits described on the Bloch sphere. In our approach, each particle contains three groups of Bloch coordinates of qubits, and all three groups of coordinates are regarded as approximate solutions describing the optimization result. Our approach updates the particles using the rotation of qubits about an axis on the Bloch sphere. This updating approach can simultaneously adjust two parameters of qubits, and can automatically achieve the best matching of two adjustments. To avoid premature convergence, the mutation is performed with Hadamard gates. The optimization process is performed in the n-dimensional hypercube space [-1,1] n, so the proposed approach can be easily adapted to a variety of optimization problems. The experimental results show that the proposed algorithm is superior to the original one in optimization ability. © 2013 Springer Science+Business Media New York.


If a partial differential equation is reduced to an ordinary differential equation in the form u′ (ξ) = G (u, θ1, ..., θm) under the traveling wave transformation, where θ1, ..., θm are parameters, its solutions can be written as an integral form ξ - ξ0 = ∫ frac(d u, G (u, θ1, ..., θm)). Therefore, the key steps are to determine the parameters' scopes and to solve the corresponding integral. When G is related to a polynomial, a mathematical tool named complete discrimination system for polynomial is applied to this problem so that the parameter's scopes can be determined easily. The complete discrimination system for polynomial is a natural generalization of the discrimination △ = b2 - 4 a c of the second degree polynomial a x2 + b x + c. For example, the complete discrimination system for the third degree polynomial F (w) = w3 + d2 w2 + d1 w + d0 is given by △ = - 27 (frac(2 d2 3, 27) + d0 - frac(d1 d2, 3))2 - 4 (d1 - frac(d2 2, 3))3 and D1 = d1 - frac(d2 2, 3). In the paper, we give some new applications of the complete discrimination system for polynomial, that is, we give the classifications of traveling wave solutions to some nonlinear differential equations through solving the corresponding integrals. In finally, as a result, we give a partial answer to a problem on Fan's expansion method. © 2009 Elsevier B.V. All rights reserved.


Cheng Y.-J.,Northeast Petroleum University
Mathematical and Computer Modelling | Year: 2012

By the complete discrimination system for polynomial method, we obtain the classification of traveling wave solutions to the modified form of the Degasperis-Procesi equation. © 2011 Elsevier Ltd.


Cheng Y.-J.,Northeast Petroleum University
Computers and Mathematics with Applications | Year: 2011

The classification of all single traveling wave solutions to the Vakhnenko equation and its generalization are obtained by means of the complete discrimination system for the polynomial method. © 2011 Elsevier Ltd. All rights reserved.


Du X.-H.,Northeast Petroleum University
Pramana - Journal of Physics | Year: 2010

An irrational trial equation method was proposed to solve nonlinear differential equations. By this method, a number of exact travelling wave solutions to the Burgers-KdV equation and the dissipative double sine-Gordon equation were obtained. A more general irrational trial equation method was discussed, and many exact solutions to the Fujimoto-Watanabe equation were given. © Indian Academy of Sciences.


Liu C.-S.,Northeast Petroleum University
Foundations of Physics | Year: 2011

To find exact traveling wave solutions to nonlinear evolution equations, we propose a method combining symmetry properties with trial polynomial solution to nonlinear ordinary differential equations. By the method, we obtain some exact traveling wave solutions to the Burgers-KdV equations and a kind of reaction-diffusion equations with high order nonlinear terms. As a result, we prove that the Burgers-KdV equation does not have the real solution in the form a0+a1tan ξ+a2tan 2ξ, which indicates that some types of the solutions to the Burgers-KdV equation are very limited, that is, there exists no new solution to the Burgers-KdV equation if the degree of the corresponding polynomial increases. For the second equation, we obtain some new solutions. In particular, some interesting structures in those solutions maybe imply some physical meanings. Finally, we discuss some classifications of the reaction-diffusion equations which can be solved by trial equation method. © 2010 Springer Science+Business Media, LLC.


Zhou Q.,Northeast Petroleum University
Advanced Materials Research | Year: 2014

According to the data on the geology, geochemistry, experimental analysis and production test of Liaohe Depression, the reservoir forming conditions of shale gas and oil were analyzed in this study. It is found that the Paleogene shale in the sedimentary basin has an extensive distribution, large thickness, high organic carbon content and wide variation scope of maturity of organic matter. It provides the material conditions for the formation of shale gas and oil. The shales have developed micropores and fractures, which provide favorable reservoir space for the free hydrocarbons. Due to the strong adsorption ability of shale, the gas logging abnormal of total hydrocarbons is usually present in the shale. A huge reserve of shale gas and oil resources is indicated. The shale reservoir usually has a high content of brittle minerals, so the fracturing technique can be applied for development. Therefore, the Paleogene strata in Liaohe Depression contain abundant shale gas and oil and the associated tight gas and oil resources. The shale gas and oil in the hydrocarbon generation sag and the surrounding shales and the interbed are the new deposits under the deep exploitation of Liaohe Depression. The shale gas and oil in the West Sag has the highest potential. © (2014) Trans Tech Publications, Switzerland.

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