Third International Workshop on Advanced Computational Intelligence最新文献

Exponential stability of BAM type Cohen-Grossberg neural networks with variable delays and impulsive on time scales 时间尺度上具有变延迟和脉冲的BAM型Cohen-Grossberg神经网络的指数稳定性

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585130

Chaolong Zhang, Fengjian Yang, Wei Li, Jianfu Yang

引用次数: 0

Real-time monitoring platform for small-scaled mobile robot 小型移动机器人实时监控平台

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585136

Hao Wu, Yunzhou Zhang, Quan Yuan, He Wang

引用次数: 0

A fast optimal latin hypercube design for Gaussian process regression modeling 高斯过程回归建模的快速最优拉丁超立方体设计

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585160

X. Liao, X. Yan, W. Xia, Bin Luo

引用次数: 12

Optimization control of STATCOM in power system with Adaptive Critic Designs 基于自适应临界设计的电力系统STATCOM优化控制

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585174

Shaojian Song, Yi He, Xiaofeng Lin, Bilian Liao

{"title":"Optimization control of STATCOM in power system with Adaptive Critic Designs","authors":"Shaojian Song, Yi He, Xiaofeng Lin, Bilian Liao","doi":"10.1109/IWACI.2010.5585174","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585174","url":null,"abstract":"This paper presents a novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power system. The design for the optimal controller is based on a class of Adaptive Critic Designs (ACDs) called the Action Dependant Heuristic Dynamic Programming (ADHDP). The ADHDP class of ACDs uses two neural networks, an “Action” network (which actually sends the control signals) and a “Critic” network (which critics the action network performance). The optimal control policy is evolved by the action network over a period of time using the feedback signals provided by the critic network. A series of simulations on STATCOM connected to a single machine infinite bus system with proposed neurocontroller and conventional PI controller were carried out in MATLAB/SIMULINK. Results are presented to show that the ADHDP-based neurocontroller performs better than the conventional PI controller, especially when the system conditions and configuration were changed. The numerical simulation results of using this method in one STATCOM connected to power system show that the control scheme can maintain voltage at load bus and prevent the occurrence of voltage collapse when the large disturbances occur.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126881852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A novel adaptive neural sliding mode control for systems with unknown dynamics 一种新的未知动态系统自适应神经滑模控制方法

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585195

H. Modares, A. Rowhanimanesh, A. Karimpour

引用次数: 4

An Online Self-organizing Neuro-Fuzzy System from training data 基于训练数据的在线自组织神经模糊系统

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585231

Ning Wang, Dan Wang, Z. Wu

{"title":"An Online Self-organizing Neuro-Fuzzy System from training data","authors":"Ning Wang, Dan Wang, Z. Wu","doi":"10.1109/IWACI.2010.5585231","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585231","url":null,"abstract":"In this paper, we design a novel Online Self-constructing Neuro-Fuzzy System (OSNFS) based on the proposed generalized ellipsoidal basis functions (GEBF). Due to the flexibility and dissymmetry of the GEBF, the partitioning made by GEBFs in the input space is more flexible and more economical, and therefore results in a parsimonious neuro-fuzzy system (NFS) with high performance under the online learning algorithm. The geometric growing criteria and the error reduction ratio (ERR) method are used as growing and pruning strategies respectively to realize the structure learning algorithm which implements an optimal and compact network structure. The proposed OSNFS starts with no fuzzy rules and does not need to partition the input space a priori. In addition, all the free parameters in premises and consequents are adjusted online based on the ε-completeness of fuzzy rules and the linear least square (LLS) approach, respectively. The performance of the proposed OSNFS is compared with other well-known algorithms on a benchmark problem in nonlinear dynamic system identification. Simulation results demonstrate that the proposed OSNFS approach can facilitate a compact and economical NFS with better approximation performance.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126514818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Fuzzy reasoning method of warships combat problems based on Fuzzy Offering Degree 基于模糊提供度的军舰作战问题模糊推理方法

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585221

Rui Guo, Fangming Wu

引用次数: 0

A real-time capture system for high-resolution measure image 高分辨率测量图像实时采集系统

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585185

Feng Zhang, Qin-Zhang Wu, Guo-qiang Ren

引用次数: 0

Intelligent diagnosis algorithm of power equipment based on acoustic signal processing 基于声信号处理的电力设备智能诊断算法

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585220

Shutao Zhao, Baoshu Li, Y. Ge, Weiguo Tong

引用次数: 3

Dynamic robustness analysis of container marine transportation network using improved ACO approach 基于改进蚁群算法的集装箱海上运输网络动态鲁棒性分析

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585183

G. Tang, Zijian Guo, Xiangqun Song, Wenyuan Wang, Ningning Li

引用次数: 1