检索结果-内蒙古大学图书馆

Chinese control Conference (CCC)

作者： Shengli Du Di Wu Yongfeng Gao Xu Li Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing P. R. China School of Control Science and Engineering Dalian University of Technology Dalian P. R. China School of Aeronautics and Astronautics Dalian University of Technology Dalian P. R. China

This paper is concerned with the semi-global output synchronization problem of a heterogeneous network under self-triggered control. A distributed self-triggered control scheme in which only local information is used to compute the triggering instants is proposed. In addition, the Zeno behavior can be excluded in the designed scheme. By adopting the low-gain technique, it is shown that the input saturation nonlinearity can be avoided if the parameter of the parameterized feedback gain is chosen small enough. The algorithm for implementing the self-triggered rule is also presented in the paper.

关键词： Multi-agent systems Synchronization Eigenvalues and eigenfunctions control systems Laplace equations Symmetric matrices Riccati equations

来源：评论

学校读者我要写书评

暂无评论

Smooth controller design for non-linear systems using multiple fixed models

引用

IET control Theory & Applications 2017年第9期11卷 1467-1473页

作者： Jie Chen Wei Chen Jian Sun The Key Laboratory of Intelligent Control and Decision of Complex System School of Automation Beijing Institute of Technology Beijing People's Republic of China Science and Technology on Electronic Information Control Laboratory Chengdu People's Republic of China

Multiple model adaptive control (MMAC) with second-level adaptation is a recently proposed methodology for dealing with systems where the parametric uncertainty is large. Compared with the multiple model switching scheme, the new scheme can lead to significant improvements in performance. Some research has been conducted using the new scheme, but all of the results concern linear systems with an adaptive identification model set. In this study, MMAC with second-level adaptation scheme is extended to non-linear systems in strict feedback form, and the fixed identification model set is under consideration. This is motivated by the fact that a smooth controller can lead to smooth performance and the fixed identification model set gains potential advantages over the adaptive identification model set, especially for the case that the parameters of the system change over the time. Design details are presented and the stability of MMAC with second-level adaptation using a fixed identification model set for non-linear systems is given, which has not been discussed before. Finally, two simulations are performed to show that this scheme performs much better than conventional schemes, including adaptive control and multiple-model switching schemes, in terms of convergence speed and transient performance.

关键词： nonlinear control systems control system synthesis adaptive control uncertain systems linear systems identification convergence transient performance convergence speed fixed identification model set second-level adaptation scheme adaptive identification model set linear systems multiple model switching scheme parametric uncertainty MMAC multiple model adaptive control multiple fixed models nonlinear systems smooth controller design

来源：评论

学校读者我要写书评

暂无评论

Predictive Zone control of Pressure Management for Water Supply Network systems

引用

International Journal of Automation and computing 2016年第6期13卷 607-614页

作者： Dong-Ming Liu Shao-Yuan Li Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China Changzhou Institute of Light Industry Technology Jiangsu 213164 China

In this paper we address the problem of pressure management in water supply system （WSS） network. The model-based predictive control （MPC） strategies have some important features to deal with WSS. By hydraulic analysis of WSS, the predictive model is derived from the dynamic model and static model of WSS. Through WSS, the consumers＇ demands are required to be met at all times according to some operational constraints that must be satisfied. The constraints of flow through actuators, the water level of reservoirs and the consumer areas＇ pressure demand are determined by a specific system. In this work, we develop a constrained MPC controller that considers the zone control of the pressure outputs and incorporates steady state economic targets in the control cost function. The designed management strategies are applied to a case study and simulation results, covering different aspects, are provided. The output nodal pressure can be controlled in the desired zone by optimal scheduling the actuators of the WSS. If the variation range of reservoir＇s water level is broader, the rate of flow through the actuators is gentle, and vice versa.

关键词： Water supply system （WSS） network mathematical modelling zone control pressure control model predictive control（MPC）.

来源：评论

学校读者我要写书评

暂无评论

Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network

arXiv

引用

arXiv 2019年

作者： Santos, Moises S. Protachevicz, Paulo R. Iarosz, Kelly C. Caldas, Iberê L. Viana, Ricardo L. Borges, Fernando S. Ren, Hai-Peng Szezech, José D. Batista, Antonio M. Grebogi, Celso Department of Physics Federal University of Paraná CuritibaPR80060-000 Brazil Graduate in Science Program - Physics State University of Ponta Grossa Ponta Grossa PR84030-900 Brazil Institute of Physics University of São Paulo São PauloSP05508-900 Brazil Center for Mathematics Computation and Cognition Federal University of ABC São Bernardo do CampoSP09606-045 Brazil Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xian University of Technology Xi'an710048 China Xian Technological University Xi'an710021 China Graduate in Science Program - Physics State University of Ponta Grossa Ponta Grossa PR84030-900 Brazil Institute for Complex Systems and Mathematical Biology King's College University of Aberdeen AberdeenAB24 3UE United Kingdom

Chimera states are spatiotemporal patterns in which coherence and incoherence coexist. We observe the coexistence of synchronous (coherent) and desynchronous (incoherent) domains in a neuronal network. The network is composed of coupled adaptive exponential integrate-and-fire neurons that are connected by means of chemical synapses. In our neuronal network, the chimera states exhibit spatial structures both with spikes and bursts activities. Furthermore, those desynchronised domains not only have either spike or burst activity, but we show that the structures switch between spikes and bursts as the time evolves. Moreover, we verify the existence of multicluster chimera states. Copyright © 2019, The Authors. All rights reserved.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Stability Analysis for Memristive Recurrent Neural Network Under Different External Stimulus

引用

Neural processing Letters 2017年第2期47卷 601-618页

作者： Gang Bao Zhigang Zeng Hubei Key Laboratory of Cascaded Hydropower Stations Operation and Control China Three Gorges University Yichang China School of Automation Huazhong University of Science and Technology Wuhan China Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China Wuhan China

Memristor is the fourth missing element. This paper discusses dynmacis memristive recurrent neural network with memristors as synapses. Firstly, it analyzes variation property of memristance under different external inputs with memristor simulation model. It concludes that memristance will be stable at one value if the direction of voltage is not changed and be varying periodically under periodically variable voltage. Next, it presents the memristive recurrent neural network model and gives local attractive region, one sufficient condition for memristive recurrent neural network under periodic voltage source. At last, an illustrative example is given for verifying our result.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on fast self-learning improvement of ADRC control algorithm for film thickness control system

引用

Journal of Physics: Conference Series 2019年第3期1187卷

作者： Liao Xue-chao Zhou You Chen Zhen-huan School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430081 P. R. China Tel.: +86-*** Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan 430081 P. R. China Tel.: +86-***

In the biaxially stretched film (BOPP) thickness control system, the traditional PID and Active-Disturbance Rejection controller (ADRC) can't achieve the ideal control effect. The Smith prediction method is used in the essay to establish a discretization model for the BOPP thickness control system. Combining with BP self-learning algorithm, a fast self-learning improved ADRC control algorithm (FSADRC) is proposed. By means of the additional momentum term and the adaptive learning rate method, the nonlinear combination of the ADRC system is adjusted in real time, the optimal control parameters are found, and the parameters are self-tuned. As a consequence, the improved algorithm is applied to the biaxial tensile film thickness control model. The simulation results show that the method has the advantages of high response speed and strong self-adaptive ability, which can effectively improve the control performance of the BOPP thickness control system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The optimization of location and control of pump stations in urban drainage system 35

The optimization of location and control of pump stations in...

引用

第35届中国控制会议

作者： CUI Yiqun HOU Shufang LI Dewei XI Yugeng CEN Lihui Key Laboratory of System Control and Information Processing Ministry of Education of ChinaDepartment of AutomationShanghai Jiao Tong University School of Information Science and Engineering Central South University

ISBN: (纸本)9781509009107

To reduce the overflow of the wastewater and high expense caused by redundant arrangement of the stations of pumps in the urban drainage system,a hybrid logistic optimization model is proposed to choose the locations of pump stations and the corresponding optimal control algorithm is also developed in this *** inflow in the conduit from rainfall is estimated based on rainfall-runoff model and meanwhile the performance of the pump is described by the nonlinear pump *** determining the optimal pump locations by the optimization algorithm,this paper further studies the energy saving optimal control of the *** taking both the position and the working situation of the pumps into consideration,the energy consumption of the system and the frequency of overflow can be brought down effectively.

关键词： Urban Drainage system Pump Station Locations Energy Saving Hybrid Optimization

来源：评论

学校读者我要写书评

暂无评论

Solving Graph Coloring Problem Using Parallel Discrete Particle Swarm Optimization on CUDA

Solving Graph Coloring Problem Using Parallel Discrete Parti...

引用

2017 2nd International Conference on Applied Mathematics, Simulation and Modelling(AMSM2017)

作者： Ze-shu RAO Wan-ying ZHU Kai ZHANG School of Computer Science Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

The graph coloring problem is one of the most well-known combinatorial optimization *** can be widely used in many ***,it is very difficult to find the global optimal solutions from exponential candidate *** this paper,a parallel discrete particle swarm optimization algorithm based on compute unified device architecture(CUDA) is proposed to solve the graph coloring *** millions of CUDA-enabled GPUs,the algorithm can calculate the fitness function and update particles velocities and positions in *** order to validate the effectiveness and efficiency of the proposed algorithm,some computational experiments are conducted on DIMACS benchmark *** experiments results show that our algorithm provides competitive results and running time when compared with existing techniques on DIMACS instances.

关键词： Particle swarm optimization Graph coloring CUDA

来源：评论

学校读者我要写书评

暂无评论

Fast KNN search for big data with set compression tree and best bin first 2

Fast KNN search for big data with set compression tree and b...

引用

2nd International Conference on Cloud Computing and Internet of Things, CCIOT 2016

作者： Chen, Zhenjie Yan, Jingqi Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of Ministry of Education for System Control and Information Processing China Shanghai China

ISBN: (纸本)9781467398213

This paper proposes k nearest neighbors (kNN) search based on set compression tree (SCT) and best bin first (BBF) to deal with the problem for big data. The large compression rate by set compression tree is achieved by compressing the set of descriptors jointly instead of compressing on a per-descript or basis. So set compression tree has a good performance in kNN search at a low bit rate. At the same time, the best bin first (BBF) is a very efficient algorithm to find the approximately kNN from a large number of high dimensional feature descriptors. SCT-BBF is a novel exploration and it improves search performance in three aspects: First, SCT-BBF requires less memory footprint, which is important in big data age. Second, it increases accuracy compared traditional method like KD-Tree and original SCT. SCT-BBF can be used with other data processing methods like PCA and SIFT to perform better. Third, this paper adopts finer search to increase accuracy at a slight loss of speed. And it can extend to big data easily. © 2016 IEEE.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Stochastic Resonance of Asymmetric Bistable system Driven by Binary Signals under α Stable Noise 35

Stochastic Resonance of Asymmetric Bistable System Driven by...

引用

第35届中国控制会议

作者： JIAO Shang-bin KOU Jie LIU Ding ZHANG Qing National & Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing

ISBN: (纸本)9781509009107

In this paper the asymmetric bistable system excited by binary aperiodic signals is taken as a model and the average symbol error rate is regarded as an index to study stochastic resonance(SR) ***,the SR driven by binary signals under α stable noise is ***,the interplay between the α stable noise parameters α,β,and the system parameters a,b,r on the resonant output effect is *** results show that weak binary signals detection can be realized by adjusting the system parameters a,b and *** optimal values solved by these parameters can make the system produce the best SR *** a certain a or b,there is an optimal value under different α or β.For the parameter r,there is an optimal value under different α,and there are several optimal values under different β.Moreover,when α or β is given different values,the evolution laws in asymmetric bistable SR system excited by binary signals are *** results lay a foundation for realizing the adaptive parameter adjustment in asymmetric bistable SR system with α stable noise.

关键词： α stable noise asymmetric bistable system stochastic resonance symbol error rate

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：