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Journal of Central South University 2016年第9期23卷 2199-2204页

作者： WANG Guo-wei YANG Chun-hua ZHU Hong-qiu LI Yong-gang gui wei-hua School of Information Science and Engineering Central South University Changsha 410083 China School of Metallurgy and Environment Central South University Changsha 410083 China

Reagents are optimized for the simultaneous determination of trace amounts of Cu^(2+), Cd^(2+) and Co^(2+) in zinc sulfate solution, which contains an extremely large excess of Zn^(2+). First, the reagents and their doses for the experiment are selected according to the characteristics of the zinc sulfate solution. Then, the reagent doses are optimized by analyzing the influence of reagent dose on the polarographic parameters(i.e. half-wave potential E_(1/2) and limiting diffusion current I_p). Finally, the optimization results are verified by simultaneously determining trace amounts of Cu^(2+), Cd^(2+) and Co^(2+) in the presence of an extremely large excess of Zn^(2+). The determination results indicate that the optimized reagents exhibit wide linearity, low detection limits, high accuracy and good precision for the simultaneous determination of trace amounts of Cu^(2+), Cd^(2+) and Co^(2+) in the presence of an extremely large excess of Zn^(2+).

关键词： on-line simultaneous determination trace polymetallic ions reagent optimization high concentration ratio

Improved PSO algorithm and its application

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Journal of Central South University of Technology 2005年第Z1期12卷 222-226页

作者： LI Yong-gang gui wei-hua YANG Chun-hua LI Jie School of Information Science and Engineering Central South University Changsha 410083 China School of Metallurgical Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China School of Metallurgical Science and Engineering Central South University Changsha 410083 China

The mechanism of particle swarm optimization algorithm is studied, and one can draw the conclusion that the best particle found by the swarm falling into local minima is one of the main reasons for premature convergence. Therefore, an improved particle swarm optimization algorithm is proposed. This algorithm selects the best particle with roulette wheel selection method, so premature converging to local optima is avoided. At last, the improved particle swarm optimization algorithm is applied to optimization of time-sharing power supply for zinc electrolytic process. Simulation and practical results show that the global search ability of IPSO is improved greatly and optimization of time-sharing power supply for zinc electrolytic process can bring about outstanding economic benefit for plant.

关键词： particle swarm optimization premature convergence roulette wheel zinc electrolytic process timesharing power supply

Robust reliable control for a class of time-varying uncertain impulsive systems

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Journal of Central South University of Technology 2005年第Z1期12卷 199-202页

作者： CHENG Xin-ming gui wei-hua GAN Zheng-jia School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China School of Computer and Communication Changsha University of Science and Technology Changsha 410076 China

The problem of robust and reliable control design for linear uncertain impulsive systems with both timevarying norm-bounded parameter uncertainty and actuator failures was studied. The actuators are classified into two groups. One set of actuators susceptible to failures is possible to fail, the other set of actuators robust to failures is assumed never to fail. The outputs of the actuator failures are regarded as zero. The purpose is to design the state feedback controller such that, for all admissible uncertainties as well as actuator failures occurring among a prespecified subset of actuators, the plant remains asymptotically stable. A modified algebraic Riccati equation approach was developed to solve the problem addressed and a robust reliable control law was obtained. An numerical example was also offered to prove the effectiveness of the proposed method.

关键词： reliable control uncertain impulsive systems state feedback stabilization

Niching method using clustering crowding

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Journal of Central South University of Technology 2005年第Z1期12卷 203-209页

作者： GUO Guan-qi gui wei-hua WU Min YU Shou-yi School of Information Science and Engineering Central South University Changsha 410083 China Department of Computer Science and Information Engineering Hunan Institute of Science and Technology Yueyang 414006 China School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China

This study analyzes drift phenomena of deterministic crowding and probabilistic crowding by using equivalence class model and expectation proportion equations. It is proved that the replacement errors of deterministic crowding cause the population converging to a single individual, thus resulting in premature stagnation or losing optional optima. And probabilistic crowding can maintain equilibrium multiple subpopulations as the population size is adequate large. An improved niching method using clustering crowding is proposed. By analyzing topology of fitness landscape using hill valley function and extending the search space for similarity analysis, clustering crowding determines the locality of search space more accurately, thus greatly decreasing replacement errors of crowding. The integration of deterministic and probabilistic replacement increases the capacity of both parallel local hill climbing and maintaining multiple subpopulations. The experimental results optimizing various multimodal functions show that,the performances of clustering crowding, such as the number of effective peaks maintained, average peak ratio and global optimum ratio are uniformly superior to those of the evolutionary algorithms using fitness sharing, simple deterministic crowding and probabilistic crowding.

关键词： evolutionary computation genetic drift niche clustering crowding

Synchronization in Dynamic Networks with Time-varying Delay Coupling Based on Linear Feedback Controllers

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自动化学报 2010年第12期36卷 1766-1772页

作者： PAN huan NIAN Xiao-Hong gui wei-hua School of Information Science and Engineering Central South UniversityChangsha 410075P.R.China

This paper focuses on the synchronization problems of general complex dynamical networks with time-varying *** cases of the time-varying delay are considered — one being continuous-uniformly bounded and the other being differentiable-uniformly bounded with the *** the coupling configuration matrix is also assumed to be asymmetric and *** new delay-dependent synchronization criteria are derived and a strategy for synchronization is presented based on a method of linear state feedback *** bounds of controller are solved by *** examples are given to illustrate the effectiveness of the proposed synchronization criteria

关键词：自动化线性系统自动模拟理论

General scheduling framework in computational Grid based on Petri net

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Journal of Central South University of Technology 2005年第Z1期12卷 232-237页

作者： HU Zhi-gang HU Rong gui wei-hua CHEN Jian-er CHEN Song-qiao School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China School of Information Science and Engineering Central South University Changsha 410083 China

A general scheduling framework (GSF) for independent tasks in computational Grid is proposed in this paper, which modeled by Petri net and located on the layer of Grid scheduler. Furthermore, a new mapping algorithm aimed at time and cost is designed on the basis of this framework. The algorithm uses weighted average fuzzy applicability to express the matching degree between available machines and independent tasks. Some existent heuristic algorithms are tested in GSF, and the results of simulation and comparison not only show good flexibility and adaptability of GSF, but also prove that, given a certain aim, the new algorithm can consider the factors of time and cost as a whole and its performance is higher than those mentioned algorithms.

关键词： general scheduling framework Meta-tasks computational Grid Petri net algorithm

Practical stabilization of receding-horizon control

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Journal of Central South University of Technology 2001年第4期8卷 268-271页

作者： LIU Bi yu,gui wei hua,MU Min (College of Information Science and Engineering, Central South University, Changsha 410083, China) College of Information Science and Engineering Central South University Changsha China

The purpose of this work is to propose a scheme to stabilize the predictive control systems in the practical stability sense. In the paper, the authors dealt with a general discrete predictive control system x j+1|t =f(x j|t , u j|t ) by using the Lyapunov direct method combining with receding horizon control technique, and presented a new condition to guarantee the practical stabilization of the systems. With the proposed results, one can design the optimal controllers easily to practically stabilize the predictive control systems.

关键词： receding-horizon control practical stability Lyapunov function nonlinear system optimization

A Particle Swarm Optimization Algorithm with Variable Random Functions and Mutation

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自动化学报 2014年第7期40卷 1339-1347页

作者： ZHOU Xiao-Jun YANG Chun-hua gui wei-hua DONG Tian-Xue School of Information Science and Engineering Central SouthUniversity Changsha 410083 China School of Science Infor-mation Technology and Engineering University of Ballarat Victoria3353 Australia

The convergence analysis of the standard particle swarm optimization (PSO) has shown that the changing of random functions, personal best and group best has the potential to improve the performance of the PSO. In this paper, a novel strategy with variable random functions and polynomial mutation is introduced into the PSO, which is called particle swarm optimization algorithm with variable random functions and mutation (PSO-RM). Random functions are adjusted with the density of the population so as to manipulate the weight of cognition part and social part. Mutation is executed on both personal best particle and group best particle to explore new areas. Experiment results have demonstrated the effectiveness of the strategy.

关键词：粒子群优化算法随机变量函数突变 PSO算法随机函数收敛性分析算法性能人口密度

Memory State Feedback Control for Singular Systems with Multiple Internal Incommensurate Constant Point Delays

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自动化学报 2009年第2期35卷 174-179页

作者： JIANG Zhao-Hui gui wei-hua XIE Yong-Fang YANG Chun-hua School of Information Science and Engineering Central South University Changsha 410083 P. R. China

In this paper, the problem of delay-dependent stabilization for singular linear continuous-time systems with multiple internal incommensurate constant point delays (SLCS-MIID) is investigated. The condition when a singular system subject to point delays is regular independent of time delays is given and it can be easily tested with numerical or algebraic methods. Based on the Lyapunov-Krasovskii functional approach and the descriptor integral-inequality lemma, a sufficient condition for delay-dependent stability is obtained. The main idea is to design multiple memory state feedback control laws such that the resulting closed-loop system is regular independently of time delays, impulse free, and asymptotically stable via solving some strict linear matrix inequalities (LMIs) problem. An explicit expression for the desired memory state feedback control law is also given. Finally, a numerical example illustrates effectiveness and availability for the proposed method.

关键词：时滞依赖自动化系统线性连续时间系统泛函方法

Decentralized Robust Control for Large Scale Interconnected Uncertain Systems with Time delay

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Journal of Central South University 2000年第1期12卷 49-52页

作者： TANG Zhao hui,WU Min,gui wei hua,XIE Yong fang (College of Information Engineering, Central South University of Technology, Changsha 410083, China) College of Information Engineering Central South University of Technology Changsha China

For a class of interconnected time delay uncertain systems satisfing the matching conditions, the sufficient condition for decentralized stabilization feedback control laws is derived based on Lyapunov stability theorem. This condition is expressed as the solvability problem of linear matrix inequalities(LMI). It can be easily determined whether or not, it is feasible and one can easily obtain the decentralized stabilizing state feedback matrices via LMI techniques. The method overcomes the limitations of the existing algebraic Riccati equation method. The given example shows the application of the method.

关键词： uncertainties time delay linear matrix inequality decentralized control robustness