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Progress in Natural science:Materials International 2007年第6期17卷 687-695页

作者： Zhang Huaguang1, Guan Huanxin1 and Wang Zhanshan1,2(1. school of information science and engineering, northeastern university, shenyang 110004, China 2. school of information science and engineering, shenyang Ligong university, shenyang 110168, China) school of information science and engineering Northeastern University Shenyang 110004 China school of information science and engineering Shenyang Ligong University Shenyang 110168 China

This paper aims to present an adaptive control scheme for the synchronization of two classes of uncertain neural networks with different attractors. A new sufficient condition for the global synchronization of two kinds of neural networks with different attractors is derived. The proposed control method is efficient and easy to be implemented. Numerical simulation is used to show the effectiveness of the obtained result.

关键词： neural networks attractor adaptive synchronization linear matrix inequality.

H∞ control for uncertain Markovian jump systems with mode-dependent mixed delays

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Progress in Natural science:Materials International 2008年第3期18卷 309-314页

作者： Yingchun Wang, Huaguang Zhang school of information science and engineering, northeastern university, shenyang 110004, China school of information science and engineering Northeastern University Shenyang 110004 China

We study the problem of H∞control for a class of Markovian jump systems with norm-bounded parameter uncertainties and mode- dependent mixed delays including discrete delays and distributed delays in this paper. Our aim is to present a new delay-dependent con- trol approach such that the resulting closed-loop system is robust mean-square (MS) exponentially stable and satisfies a prescribed H∞performance level, irrespective of the parameter uncertainties. Such delay-dependent approach does not require system transformation or free-weighting matrix. A numerical example shows that the results are less conservative and more effective.

关键词： H1 control Markovian jump Mixed delays Delay-dependent criterion

Optimal guaranteed cost control for fuzzy descriptor systems with time-varying delay

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Journal of Systems engineering and Electronics 2008年第3期19卷 584-591页

作者： Tian Weihua1,2 & Zhang Huaguang3 1. school of information science and engineering, northeastern Univ., shenyang 110004, P. R. China 2. Dept. of Automatic Control, shenyang Inst. of engineering, shenyang 110136, P. R. China 3. school of information science and engineering, northeastern Univ., shenyang 110004, P. R. China. (Received December 27, 2006) school of information science and engineering Northeastern Univ. Shenyang 110004 P. R. China Dept. of Automatic Control Shenyang Inst. of Engineering Shenyang 110136 P. R. China

Based on the delay-independent rule, the problem of optimal guaranteed cost control for a class of Takagi-Sugeno （T-S） fuzzy descriptor systems with time-varying delay is studied. A linear quadratic cost function is considered as the performance index of the closed-loop system. Sufficient conditions for the existence of guaranteed cost controllers via state feedback are given in terms of linear matrix inequalities （LMIs）, and the design of an optimal guaranteed cost controller can be reduced to a convex optimization problem. It is shown that the designed controller not only guarantees the asymptotic stability of the closed-loop fuzzy descriptor delay system, but also provides an optimized upper bound of the guaranteed cost. At last, a numerical example is given to illustrate the effectiveness of the proposed method and the perfect performance of the optimal guaranteed cost controller.

关键词： fuzzy descriptor systems optimal guaranteed cost control time-varying delay linear matrix inequalities (LMIs).

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Particle swarm optimization with a leader and followers

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Progress in Natural science:Materials International 2008年第11期18卷 1437-1443页

作者： Junwei Wang Dingwei Wang Institute of Systems engineering,College of information science and engineering,northeastern university,shenyang 110004,China Institute of Systems engineering College of Information Science and Engineering Northeastern University Shenyang 110004 China

Referring to the flight mechanism of wild goose flock,we propose a novel version of Particle Swarm Optimization(PSO)with a leader and *** is referred to as Goose Team Optimization(GTO).The basic features of goose team flight such as goose role division, parallel principle,aggregate principle and separate principle are implemented in the recommended *** GTO,a team is formed by the particles with a leader and some *** role of the leader is to determine the search *** followers decide their flying modes according to their distances to the leader ***,a wide area can be explored and the particle collision can be really *** GTO is applied to four benchmark examples of complex nonlinear functions,it has a better computation perfor- mance than the standard PSO.

关键词： Particle swarm optimization Goose team optimization Role division Parallel principle Aggregate principle Separate principle

Delay-probability-distribution-dependent robust stability analysis for stochastic neural networks with time-varying delay

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Progress in Natural science:Materials International 2009年第10期19卷 1333-1340页

作者： Jie Fu,Huaguang Zhang,Tiedong Ma school of information science and engineering,northeastern university,Box 134,shenyang 110004,China school of information science and engineering Northeastern University Box 134 Shenyang 110004 China

The delay-probability-distribution-dependent robust stability problem for a class of uncertain stochastic neural networks(SNNs) with time-varying delay is *** information of probability distribution of the time delay is considered and transformed into parameter matrices of the transferred SNNs *** on the Lyapunov-Krasovskii functional and stochastic analysis approach,a delay-probability-distribution-dependent sufficient condition is obtained in the linear matrix inequality(LMI) format such that delayed SNNs are robustly globally asymptotically stable in the mean-square sense for all admissible *** important feature of the results is that the stability conditions are dependent on the probability distribution of the delay and upper bound of the delay derivative,and the upper bound is allowed to be greater than or equal to ***,numerical examples are given to illustrate the effectiveness and less conservativeness of the proposed method.

关键词： Delay-probability-distribution-dependent Stochastic neural networks Time-varying delay Linear matrix inequality

Fuzzy H∞ Filter Design for a Class of Nonlinear Systems with Time Delays via LMI

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自动化学报 2005年第3期 64-71页

作者： LUN Shu-Xian~(1’2) ZHANG Hua-Guang~1 ~1(school of information science and engineering,northeastern university,shenyang 110004)~2(school of information science and engineering,Bohai university,Jinzhou 110004)

This paper develops fuzzy Hfilter for state estimation approach for nonlinear discrete- time systems with multiple time delays and unknown bounded *** design a stable fuzzy Hfilter based on the Takagi-Sugeno (T-S) fuzzy model,which assures asymptotic stability and a prescribed Hindex for the filtering error *** condition for the existence of such a filter is established by solving the linear matrix inequality (LMI) *** LMI problem can be efficiently solved with global convergence using the interior point *** examples are provided to illustrate the design procedure of the proposed method.

关键词： Nonlinear systems H_∞ filter state estimation Takagi-Sugeno fuzzy model time delays linear matrix inequality(LMI)

Numerical optimization method for HJI equations derived from robust receding horizon control schemes and controller design

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science China(information sciences) 2012年第1期55卷 214-227页

作者： SONG ChongHui,BIAN ChunYuan,ZHANG Xie&SHI ChengLong school of information science and engineering,northeastern university,shenyang 110004,China school of information science and engineering Northeastern University Shenyang China

This paper addresses how to numerically solve the Hamilton-Jacobin-Isaac(HJI)equations derived from the robust receding horizon control *** developed numerical method,the finite dierence scheme with sigmoidal transformation,is a stable and convergent algorithm for HJI equations.A boundary value iteration procedure is developed to increase the calculation accuracy with less time *** obtained value function can be applied to the robust receding horizon controller design of some kind of uncertain nonlinear *** the controller design,the finite time horizon is extended into the infinite time horizon and the controller can be implemented in real *** can avoid the on-line repeated optimization and the dependence on the feasibility of the initial state which are encountered in the traditional robust receding horizon control schemes.

关键词： dynamic programming uncertain nonlinear systems numerical method robust receding horizon control dierential game

Materials Design of Microstructure in Grain Boundary and Second Phase Particles

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Journal of Materials science & Technology 2003年第2期19卷 97-101页

作者： Yaping ZONG and Liang ZUODepartment of Materials science and engineering, northeastern university, shenyang 110004, China Dept. of Mat. Sci. and Eng. Northeastern Univ. Shenyang 110004 China

A concept of microstructure design for materials or materials microstructure engineering is proposed. The argument was suggested based on literature review and. some our new research work on second phase strengthening mechanisms and mechanical property modeling of a particulate reinforced metal matrix composite. Due to development of computer technology, it is possible now for us to establish the relationship between microstructures and properties systematically and quantitatively by analytical and numerical modeling in the research scope of computerization materials. Discussions and examples on intellectual optimization of microstructure are presented on two aspects: grain boundary engineering and optimal geometry of particulate reinforcements in two-phase materials.

关键词： Microstructure design Particulate reinforcement Grain boundary engineering Strengthening mechanism Eshelby approach Numerical modelling

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External synchronization of two dynamical systems with uncertain parameters

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science China(Technological sciences) 2010年第3期53卷 731-740页

作者： HAN QingKai 1,SUN XiaoYu 2,YANG XiaoGuang 3 &WEN BangChun 1 1 school of Mechanical engineering&Automation,northeastern university,shenyang 110004,China 2 school of Electrical engineering,shenyang university of Technology,shenyang 110023,China 3school of Mechanical engineering,The university of Birmingham,Birmingham,B15 2TT,UK school of Mechanical engineering & Automation Northeastern University Shenyang China school of Electrical engineering Shenyang University of Technology Shenyang China school of Mechanical engineering The University of Birmingham Birmingham UK

External synchronization is addressed as two or more dynamical systems with synchronous motions,which is also regarded as master-slave *** this paper,two dynamical systems,one employs a hysteretic term to model the friction phenomenon,the other involves a hardening stiffness component with the third order of displacement due to flexible deformation,are controlled to converge to the same *** control strategy is extended from feedback control for all parameters known to adaptive control for linear parameters unknown and all parameters *** slave system can keep synchronous motions with the movements of master via the designed control strategy even all the parameters are not *** stability of synchronization error,the transient process into synchronization and the effects of parameters on the designed controller using different control strategies are *** simulation results unfold the feasibility and effectiveness of this synchronization method.

关键词： controlled synchronization uncertain parameters hysteretic system Duffing system

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