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	1. Adaptive Neural Control of Switched Nonlinear StochasticSystem with Time-Varying Delay Based on ELM
	XIAO Yang,LONG Fei
	Electrics, Communication and Autocontrol Technology 13 July 2012
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	Abstract:The paper presents a adaptive neural networks control scheme without system observers for a class of SISO stochastic nonlinear switched systems with time-varying delay. In the scheme, only a single hidden layer feedforward network (SLFN) is employed to compensate for all known system nonlinear terms depending on the delayed output. The output weights are updated based on the Lyapunov synthesis approach and backstepping technique to guarantee the stability of the overall system. Then a special switching law are given based on attenuation speed of each subsystem. Different from the existing techniques, the parameters of the SLFN are adjusted based on a new neural networks learning algorithm named as extreme learning machine (ELM), where all the hidden node parameters randomly be generated. Finally, the proposed AANC scheme is applied to an example and the simulation results demonstrate the effectiveness of the control schem.
	TO cite this article:XIAO Yang,LONG Fei. Adaptive Neural Control of Switched Nonlinear StochasticSystem with Time-Varying Delay Based on ELM[OL].[13 July 2012] http://en.paper.edu.cn/en_releasepaper/content/4484820


	2. Robust Stabilization for a Class of Uncertain Switched NonlinearSystems via Backstepping Recursive Design
	Wang Chunyan,JIAO Xiaohong,SHI Shengli
	Electrics, Communication and Autocontrol Technology 20 June 2012
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	Abstract:This paper is devoted to robust stabilization problem for a class of uncertain switched nonlinear systems with lower triangular structure. A new systematic recursive algorithm for designing a common stabilizing controller is proposed based on backstepping method. It is demonstrated theoretically the constructed controller can guarantee the resulting closed-loop switched system to be robust globally asymptotically stable at the equilibrium for any switching signal. Moreover, an illustrative example is given to show the effectiveness of the given recursive approach.
	TO cite this article:Wang Chunyan,JIAO Xiaohong,SHI Shengli. Robust Stabilization for a Class of Uncertain Switched NonlinearSystems via Backstepping Recursive Design[OL].[20 June 2012] http://en.paper.edu.cn/en_releasepaper/content/4482646

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	3. Self-adaptive Co-evolution differential evolution algorithm for optimal design of water distribution networks
	FAN Qinqin,CHEN Kuilin,YAN Xuefeng
	Electrics, Communication and Autocontrol Technology 01 June 2012
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	Abstract:In this paper a new DE algorithm, i.e. self-adaptive co-evolution differential evolution (SACDE), is proposed to improve the optimization performance. SACDE employs the idea of co-evolution, which means that population and control parameters are coded together. While individuals are evolving, control parameters are changing in coordinately. The automatically updated parameters can adapt to different optimization problem and thus increase the robustness of the algorithm. Simulation results show that the proposed algorithm is better than classic DE algorithm. In comparison with other self-adaptive DE algorithm, the proposed algorithm is better in some conditions. Finally, the proposed algorithm is employed to optimize a discrete complex constrained optimization problem-water distribution network problem. SACDE achieves better results in benchmark water distribution network problems than previous methods. It demonstrates that SACDE not only can handle discrete constrained optimization problem but also shows its robustness due to the exponentially increasing complexity of different water distribution networks.
	TO cite this article:FAN Qinqin,CHEN Kuilin,YAN Xuefeng. Self-adaptive Co-evolution differential evolution algorithm for optimal design of water distribution networks[OL].[ 1 June 2012] http://en.paper.edu.cn/en_releasepaper/content/4480517


	4. Analysis on Data-based Integrated Learning Control for Batch Processes
	JIA Li,CAO Luming,CHIU Minsen
	Electrics, Communication and Autocontrol Technology 31 May 2012
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	Abstract:A novel integrated learning control system is presented in this paper. It systematically integrates discrete-time (batch-axis) information and continuous-time (time-axis) information into one uniform frame. More specifically, the iterative learning controller is designed in the domain of batch-axis, while an adaptive single neuron predictive controller (SNPC) in the domain of time-axis. As a result, the batch process can be regulated during one batch, which leads to superior tracking performance and better robustness against disturbance and uncertainty. Moreover, the convergence and tracking performance of the proposed integrated learning control system are firstly given rigorous description and proof. Lastly, to verify the effectiveness of the proposed integrated control system, it is applied to a benchmark batch process, in comparison with ILC recently developed.
	TO cite this article:JIA Li,CAO Luming,CHIU Minsen. Analysis on Data-based Integrated Learning Control for Batch Processes[OL].[31 May 2012] http://en.paper.edu.cn/en_releasepaper/content/4480310


	5. Resource Allocation for Multi-Cell Single-user OFDM Networks with Broadband Traffic
	AKOUALA DOUNIA EDDY RENYLLE,Alexandre BARANCIRA
	Electrics, Communication and Autocontrol Technology 23 May 2012
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	Abstract:Broadband Wireless Access (BWA) is becoming one of the main driving forces in today's wireless communications industry.OFDM has high spectrum utilization, its flexibly selecting frequency provides a good platform for a high data rate transmission. In this paper we study the performance of multi-cell and multi-userOFDM-TDMA (time division multiple access) system.Ressource allocation algorithm is applied to the system to maximize the system throughput, to mitigate the effect of CCI(co-channel interference) and to satisfy the required quality of service. The simulation results show that the algorithm is more efficient than the equal ressource allocation algorithm .
	TO cite this article:AKOUALA DOUNIA EDDY RENYLLE,Alexandre BARANCIRA. Resource Allocation for Multi-Cell Single-user OFDM Networks with Broadband Traffic[OL].[23 May 2012] http://en.paper.edu.cn/en_releasepaper/content/4479459


	6. Multi-model Predictive Control of Nonlinear System based on Improved Cloud C-means Clustering Algorithm
	Zhang Wei,Chang Junlin
	Electrics, Communication and Autocontrol Technology 14 February 2012
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	Abstract:Multi-model predictive control is an important method for the control problem of a nonlinear system. Due to noise and measurement error and other factors, the data collected from industrial field tend to have large uncertainty. Traditional methods for deterministic data can no longer meet the real needs, system modeling method directly to uncertain data is necessary. Because of cloud model has a strong ability to deal with uncertainty, we identify multi-model system based on an improved cloud c-means clustering algorithm which take an adaptive strategy to determine the optimal number of clusters and redefine the calculation method of membership. In addition, for the selection problem of model matching criterion in multi-model controller design. We establish cloud model for each mode, and then a cloud weighted method for multi-model controller is proposed based on membership match criterion, which the membership of current system state belongs to each mode is used to calculate the weight. The validity and availability of the proposed method are supported by simulation results.
	TO cite this article:Zhang Wei,Chang Junlin. Multi-model Predictive Control of Nonlinear System based on Improved Cloud C-means Clustering Algorithm[OL].[14 February 2012] http://en.paper.edu.cn/en_releasepaper/content/4465297


	7. Delay-dependent Robust H∞ Control for Uncertain Nonlinear System Based on Fuzzy Hyperbolic Model with Time-Varying Delays
	Wang Gang
	Electrics, Communication and Autocontrol Technology 08 January 2012
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	Abstract:The robust H∞ control problem was considered for a class of fuzzy hyperbolic model with time-varying delays (DFHM) systems with parametric uncertainties. First, DFHM modeling method was presented for time-delay nonlinear systems. Then, by using Lyapunov-Krasovskii approaches, delay-dependent sufficient condition for the existence of a kind of state feedback controller was proposed, which was expressed as linear matrix inequalities (LMIs). The controller can guarantee that the resulting closed-loop system is robustly asymptotically stable with a prescribed H∞ performance level for all admissible uncertainties and time-delay. Finally, a simulation example was provided to illustrate the effectiveness of the proposed approach.
	TO cite this article:Wang Gang. Delay-dependent Robust H∞ Control for Uncertain Nonlinear System Based on Fuzzy Hyperbolic Model with Time-Varying Delays[OL].[ 8 January 2012] http://en.paper.edu.cn/en_releasepaper/content/4460533


	8. EIT based on virtual instrument
	WANG Wenlong,MA Fuchang,ZHANG Jianguo,MA Jun
	Electrics, Communication and Autocontrol Technology 03 November 2011
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	Abstract:Design of a electrical impedance tomography system based on virtual instrument, the author firstly introduced the virtual instrument into the electrical impedance imaging from the perspective of hardware and software. The system use DAQ of NI to simplify the hardware structure and improve the stability. Software of system combines the advantages of LABVIEW and MATLAB, and verify some algorithms. Using NI virtual instrument, the system has strong expansion and do good basis for enhancing the performance of electrical impedance imaging system
	TO cite this article:WANG Wenlong,MA Fuchang,ZHANG Jianguo, et al. EIT based on virtual instrument[OL].[ 3 November 2011] http://en.paper.edu.cn/en_releasepaper/content/4448463


	9. Variant Scheme of Adaptive Tracking Control for Robot Manipulators
	HUANG Chunqing
	Electrics, Communication and Autocontrol Technology 29 October 2011
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	Abstract: This paper develops a variant scheme of adaptive algorithm for tacking control of robot manipulators, which includes the traditional adaptive algorithm as a special case. Asymptotic stability of the resulting closed-loop system is guaranteed. Simulation results show the improved transient performance in respect to the counterpart of the traditional adaptive.
	TO cite this article:HUANG Chunqing. Variant Scheme of Adaptive Tracking Control for Robot Manipulators[OL].[29 October 2011] http://en.paper.edu.cn/en_releasepaper/content/4447321


	10. Disjunctive arc based genetic algorithm for the resource-constrained project scheduling problem
	FANG Chen,WANG Ling,MU Chundi
	Electrics, Communication and Autocontrol Technology 26 September 2011
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	Abstract:In this paper, a disjunctive arc based genetic algorithm (DAGA) is proposed to solve the resource-constrained project scheduling problem (RCPSP). The arc matrixes (AMs) representation is proposed for disjunctive arc based approach. The disjunctive arc based schedule generating scheme (DASGS) is developed to solve the resource constraints by adding extra precedence constraints into the AoN network so as to transform an AMs to a feasible schedule. Since the traditional crossover and mutation can not be operated on the AMs representation, the new crossover and mutation based on the AMs are also proposed for the DAGA. Simulation results based on PSPLIB demonstrate the effectiveness of the proposed DAGA.
	TO cite this article:FANG Chen,WANG Ling,MU Chundi. Disjunctive arc based genetic algorithm for the resource-constrained project scheduling problem[OL].[26 September 2011] http://en.paper.edu.cn/en_releasepaper/content/4444203

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