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Search Results: 1 - 10 of 78238 matches for " Chen Zongji "
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Distributed MIN-MAX Optimization Application to Time-optimal Consensus: An Alternating Projection Approach
Chunhe Hu,Zongji Chen
Mathematics , 2014,
Abstract: In this paper, we proposed an alternating projection based algorithm to solve a class of distributed MIN-MAX convex optimization problems. We firstly transform this MINMAX problem into the problem of searching for the minimum distance between some hyper-plane and the intersection of the epigraphs of convex functions. The Bregman's alternating method is employed in our algorithm to achieve the distance by iteratively projecting onto the hyper-plane and the intersection. The projection onto the intersection is obtained by cyclic Dykstra's projection method. We further apply our algorithm to the minimum time multi-agent consensus problem. The attainable states set for the agent can be transformed into the epigraph of some convex functions, and the search for time-optimal state for consensus satisfies the MIN-MAX problem formulation. Finally, the numerous simulation proves the validity of our algorithm.
Distributed consensus on minimum time rendezvous via cyclic alternating projection
Chunhe Hu,Zongji Chen
Mathematics , 2014,
Abstract: In this paper, we propose a distributed algorithm to solve planar minimum time multi-vehicle rendezvous problem with non-identical velocity constraints on cyclic digraph (topology). Motivated by the cyclic alternating projection method that can compute a point's projection on the intersection of some convex sets, we transform the minimum time rendezvous problem into finding the distance between the position plane and the intersection of several second-order cones in position-time space. The distance can be achieved by metric projecting onto the plane and the intersection persistently from any initial point, where the projection onto the intersection is obtained by Dykstra's alternating projection algorithm. It is shown that during the procedure, vehicles use only the information from neighbors and can apply the projection onto the plane asynchronously. Demonstrations are worked out to illustrate the effectiveness of the proposed algorithm.
The Robustness Analyses for Discrete Time Model Reference Adaptive Control System

Chen Zongji,

自动化学报 , 1990,
Abstract: In this paper, Narendra's discrete time model reference adaptive control scheme is analysed for its robustness to modelling errors. It is proved that this scheme is robust to type I modelling error and is not robust to type II modelling error. Simulation results are given to verify the above conclusions. Because of the unification of various model reference adaptive control schemes, the above conclusions possess generality.
A Recursive Householder Transformation Method for Parameter Estimation of Difference Model

Liu Zhengshe,Chen Zongji,Wen Chuanyuan,

自动化学报 , 1992,
Abstract: A new recursive Householder transformation method for parameter estimation of the difference model is proposed. Based on the new method, a series of new recursive algorithms, such as the new recursive least squares algorithm, the generalized least squares algorithm, the extended matrix algorithm, and the maximum likelihood algorithm are constructed. The new recursive least squares algorithms for both single and multiple variable cases and a comparison between these new algorithms and the traditional ones are discussed in detail. At last, several examples are given.
Robustness Limitation of MRAC with Unmodelled Dynamics

Chen Zongji,Yu Xanyao,

自动化学报 , 1993,
Abstract: Under the existing structures of MRAC schemes, it is no longer possible to design parameter adaptation laws to make the u. a. s. system to be more robust to modelling error. Based on the study of the robustness to modelling error of the system adapted by a general supposed form of adaptation law which has been originally de igned to drive tile system u. a. s., this paper concludes that the existing structures of MRAC can only be made to be robust to type I modelling error but not to type II.
Learning Control of Nonlinear Systems Based on Neural Networks

Ni Xianfeng,Chen Zongji,Zhou Shuiping,

自动化学报 , 1993,
Abstract: A back-propagation neural network is applied to learning control of nonlinear control system, By. By training the neural networks using back-propagation algorithm, optimal state feedback control of nonlinear systems can be realized. This paper presents a novel learning control mechanism for a class of nonlinear systems, which does not depend the model of nonlinear control system. Simulation results show that the new scheme is efficient for large unknown nonlinearity.
Aggregation Model Reduction Based on Real Schur Decomposition of System Matrix

Wang Yansheng,Chen Zongji,

自动化学报 , 1996,
Abstract: 通过有序实Schur分解将系统矩阵变成分块对角阵,得到一种数值稳定的集结法模型降阶,并给出降阶的L^∞-误差界。降阶系统保留了原系统的主导极点且为最小实现。
The Realization of Nonlinear Decoupling Control with Stability

Hu Weiduo,Chen Zongji,Wen Chuanyuan,

自动化学报 , 1994,
Abstract: In this paper a structure of nonlinear decoupling feedback is presented and it is used to analyze the decoupling control with stability problem. A concept of controllable fixed dynamics is proposed, and it is proved that two kinds of the dynamics can be removed by dynamic feedback if they are unstable. At last, an examples are presented to illustrate the correctness and usefuless of the results.
On the asymmetric distribution of heat loss from the Earth’s interior
Yang Wang,Jiyang Wang,Zongji Ma
Chinese Science Bulletin , 1998, DOI: 10.1007/BF02883450
Abstract: Mean heat flows and heat Josses of the Northern and Southern hemispheres are calculated using degree 12 spherical harmonic representation of the global heat flow field (Pollacket al., 1993). Mean heat flows and heat losses of 0° hemisphere and 180° hemisphere, with median lines being 0° longitude and 180° longitude, are also calculated. The mean heat flow of the Southern Hemisphere is 99.3 mW·m¨, significantly higher than that of the Northern Hemisphere (74.0 mW·m¨). The mean heat flow of 0° hemisphere (94. 1 mW·m2) is also higher than the value of 180° hemisphere (79. 3 mW·m2). The mantle heat loss from the Southern Hemisphere is 22.1 × 1012 W, as twice as that from the Northern Hemisphere (10.8 × 1012 W). The 16.9 × 1012 W mantle heat loss from 0° hemisphere is close to 16.0 × 1012 W from 180° hemisphere. The hemispherical asymmetry of global heat loss is originated by the asymmetry of geographic distribution of continents and oceans. The asymmetric distribution of heat loss is a long-term phenomenon in the geological history.
Identification of Soat1 as a Quantitative Trait Locus Gene on Mouse Chromosome 1 Contributing to Hyperlipidemia
Zongji Lu, Zuobiao Yuan, Toru Miyoshi, Qian Wang, Zhiguang Su, Catherine C. Chang, Weibin Shi
PLOS ONE , 2011, DOI: 10.1371/journal.pone.0025344
Abstract: We previously identified two closely linked quantitative trait loci (QTL) on distal chromosome 1 contributing to major variations in plasma cholesterol and triglyceride levels in an intercross derived from C57BL/6 (B6) and C3H/HeJ (C3H) apolipoprotein E-deficient (apoE?/?) mice. Soat1, encoding sterol o-acyltransferase 1, is a functional candidate gene located underneath the proximal linkage peak. We sequenced the coding region of Soat1 and identified four single nucleotide polymorphisms (SNPs) between B6 and C3H mice. Two of the SNPs resulted in amino-acid substitutions (Ile147Val and His205Tyr). Functional assay revealed an increased enzyme activity of Soat1 in peritoneal macrophages of C3H mice relative to those of B6 mice despite comparable protein expression levels. Allelic variants of Soat1 were associated with variations in plasma cholesterol and triglyceride levels in an intercross between B6.apoE?/? and C3H.apoE?/? mice. Inheritance of the C3H allele resulted in significantly higher plasma lipid levels than inheritance of the B6 allele. Soat1 variants were also significantly linked to major variations in plasma esterified cholesterol levels but not with free cholesterol levels. Trangenic expression of C3H Soat1 in B6.apoE?/? mice resulted in elevations of plasma cholesterol and triglyceride levels. These results indicate that Soat1 is a QTL gene contributing to hyperlipidemia.
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