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A novel neural network optimized by Quantum Genetic Algorithm for signal detection in MIMO-OFDM systems 基于量子遗传算法优化的神经网络用于MIMO-OFDM系统的信号检测
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945763
Fei Li, Min Zhou, Haibo Li
{"title":"A novel neural network optimized by Quantum Genetic Algorithm for signal detection in MIMO-OFDM systems","authors":"Fei Li, Min Zhou, Haibo Li","doi":"10.1109/CICA.2011.5945763","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945763","url":null,"abstract":"Neural networks can easily fall into a local extremum and have slow convergence rate. Quantum Genetic Algorithm (QGA) has features of small population size and fast convergence. Based on the investigation of QGA, we propose a novel neural network model, Radial Basis Function (RBF) networks optimized by Quantum Genetic Algorithm (QGA-RBF model). Then we investigate the performance of the proposed QGA-RBF on solving MIMO-OFDM signal detection problem. A novel signal detector based on QGA-RBF for MIMO-OFDM system is also proposed. The simulation results show that the proposed detector has more powerful properties in bit error rate than QGA based detector, RBF based detector and MMSE algorithm based detector, namely a 4–6 dB gain in performance can be achieved. The performance of the proposed detector is closer to optimal, compared with the other detectors.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131231503","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: 16
Development of an adaptive observer algorithm using RMS signal 基于RMS信号的自适应观测器算法的开发
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945761
Byeong-Kwan So, Jung-Han Kim
{"title":"Development of an adaptive observer algorithm using RMS signal","authors":"Byeong-Kwan So, Jung-Han Kim","doi":"10.1109/CICA.2011.5945761","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945761","url":null,"abstract":"Because of recent progress of nano positioning technology, the feature of low vibration in controlling a stage has received great attention. In lithography process, the stage hunting directly affects the performance of the manufactured product. The stage perturbation results from various noise sources, and actually the statistical characteristics of the noises easily changes. This paper focused on the design of a novel state observer which filters out the random noises that cause stage vibration, and simultaneously maintains fast detection against external disturbances. The proposed algorithm was designed to use the RMS signal in the feedback loop of the position controller, and it continually measures the level of noises and adjusts the statistical parameters in the digital Kalman filter. The RMS signal is measured by a RMS convertor chip for fast filter performance, and an air levitated precision stage with linear voice coil motor (LVCM) was used for the experiment. The results show that the performance of the system is effectively improved by the proposed observer algorithm with a conventional PID controller.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133323495","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: 0
An ANFIS-based multi-sensor structure for a mobile robotic system 一种基于anfiss的移动机器人系统多传感器结构
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945755
A. Gallardo, Jake Taylor, C. Paolini, Hong-Kyu Lee, Gordon K. Lee
{"title":"An ANFIS-based multi-sensor structure for a mobile robotic system","authors":"A. Gallardo, Jake Taylor, C. Paolini, Hong-Kyu Lee, Gordon K. Lee","doi":"10.1109/CICA.2011.5945755","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945755","url":null,"abstract":"The control of a nonlinear system is a challenging problem particularly when the system has some uncertainty or there are imperfections in the model dynamics. One approach that has gained some success employs a fuzzy structure in concert with a neural network (ANFIS); the fuzzy component compensates for the uncertainty while the neural network component models the underlying system dynamics. This paper presents a system architecture for a mobile robotic system that employs an ANFIS controller for path tracking, a virtual field strategy for obstacle avoidance and path planning, and multiple sensors (an ultrasonic array, a thermal sensor, and a video streaming system) to obtain information about the environment. Simulation results and preliminary evaluation show that the proposed architecture is a feasible one for autonomous mobile robotic systems.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"866 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128912977","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
On control-specific derivation of affine Takagi-Sugeno models from physical models: Assessment criteria and modeling procedure 从物理模型推导出仿射的Takagi-Sugeno模型:评估标准和建模程序
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945746
A. Kroll, Axel Dürrbaum
{"title":"On control-specific derivation of affine Takagi-Sugeno models from physical models: Assessment criteria and modeling procedure","authors":"A. Kroll, Axel Dürrbaum","doi":"10.1109/CICA.2011.5945746","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945746","url":null,"abstract":"Models are commonly derived and their performance is assessed wrt. minimal prediction error on a closed data set. However, if no perfect model can be used, the degrees of freedom in modeling should be used to adjust the model to application-specific metrics. For model-based controller design, control-oriented performance metrics (e.g. performance wrt. to control-critical properties) are important, but not primarily prediction (i.e. prognosis- and simulation-oriented) ones. This motivates the derivation of control-specific models. The contribution introduces structured and quantitative measures on “model suitability for control” for the class of affine dynamic Takagi-Sugeno models. A method is suggested that derives control-specific dynamic models from a physical model given as a set of nonlinear differential equations. Within a case study, the proposed method demonstrates its significance: Using control-specific models improves control performance metrics such as set-point tracking quality, stability region and energy efficiency. Nonlinear dynamic modeling, Takagi-Sugeno systems, modeling for control","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115913287","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: 9
Evidence based decision analysis and support 基于证据的决策分析和支持
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945764
Jianbo Yang, Dongling Xu
{"title":"Evidence based decision analysis and support","authors":"Jianbo Yang, Dongling Xu","doi":"10.1109/CICA.2011.5945764","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945764","url":null,"abstract":"The evidential reasoning (ER) approach was developed to support multiple criteria decision analysis (MCDA). It is based on the Dampster's combination rule for criteria aggregation and belief function for treating ignorance. In the original ER approach, however, alternative ranking depends on the accurate estimation of a value function, which may be difficult in certain decision environments. In this paper, the link and difference between the ER algorithm and Dampster's combination rule are analysed first. A new alternative ranking method is then investigated as an integrated part of the enhanced ER approach.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129420275","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: 0
Intelligent predictive control methods for synchronous power system 同步电力系统智能预测控制方法
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945742
M. Yousuf, S. Z. Rizvi, H. Al-Duwaish
{"title":"Intelligent predictive control methods for synchronous power system","authors":"M. Yousuf, S. Z. Rizvi, H. Al-Duwaish","doi":"10.1109/CICA.2011.5945742","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945742","url":null,"abstract":"In this paper, an intelligent Model Predictive Controller (MPC) for a Synchronous Power Machine on Infinite Bus (SMIB) is proposed. Owing to the nonlinear and multi-variable nature of the SMIB system, calculating optimal control signals can be difficult. To solve this problem, a novel scheme of predictive controller in tandem with heuristic optimization algorithms is proposed. Numerical simulations are carried out and performance of the controller under different conditions and in combination with different optimizers is analysed in detail. Comparison is made with the performance of existing SMIB controllers present in the literature and improvements are observed.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132192011","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
Intelligent PD-type fuzzy controller design for mobile satellite antenna tracking system with parameter variations effect 具有参数变化效应的移动卫星天线跟踪系统的智能pd型模糊控制器设计
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945750
Jium-Ming Lin, Po-Kuang Chang
{"title":"Intelligent PD-type fuzzy controller design for mobile satellite antenna tracking system with parameter variations effect","authors":"Jium-Ming Lin, Po-Kuang Chang","doi":"10.1109/CICA.2011.5945750","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945750","url":null,"abstract":"This research applied both the traditional and the fuzzy control methods for mobile satellite antenna tracking system design. Firstly, the antenna tracking and the stabilization loops were designed according to the traditional bandwidth and phase margin requirements. However, the performances would be degraded if the tacking loop gain is reduced due to parameter variations. On the other hand a PD-type fuzzy controller was also applied for tracking loop design. It can be seen that the system performances obtained by the fuzzy controller were better for both low and high antenna tracking loop gains, and the tracking loop gain parameter variations effect can be reduced.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413164","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: 7
Generalized H2 filter design for T-S fuzzy systems with quantization and packet loss 具有量化和丢包的T-S模糊系统的广义H2滤波器设计
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945766
Changzhu Zhang, G. Feng, Jianbin Qiu
{"title":"Generalized H2 filter design for T-S fuzzy systems with quantization and packet loss","authors":"Changzhu Zhang, G. Feng, Jianbin Qiu","doi":"10.1109/CICA.2011.5945766","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945766","url":null,"abstract":"In this paper, the problem of generalized H2 filtering is concerned for a class of discrete-time T-S fuzzy systems with measurement quantization and packet loss. The quantized measurements are transmitted to the filter via an imperfect communication channel, where the phenomenon of packet loss can be encountered. A random binary process is utilized to describe the packet dropouts, while the quantization errors are treated as sector bound uncertainties. Attention is focused on the design of generalized H2 piecewise filter such that the filtering error system is stochastically stable and preserves a guaranteed generalized H2 performance. The developed filter gains can be obtained by solving a set of linear matrix inequalities. Finally, an illustrative example is provided to show the effectiveness of the proposed method.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121142145","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: 8
Estimation of next behavior and its timing based on human behavior model with time series signal 基于时间序列信号的人类行为模型下一行为及其时间估计
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945748
K. Doki, K. Hashimoto, S. Doki, S. Okuma, T. Ohtsuka
{"title":"Estimation of next behavior and its timing based on human behavior model with time series signal","authors":"K. Doki, K. Hashimoto, S. Doki, S. Okuma, T. Ohtsuka","doi":"10.1109/CICA.2011.5945748","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945748","url":null,"abstract":"A new modeling method of human behaviors is proposed in this paper. In the proposed method, it is assumed that a person changes his behavior according to the change of the situation around him, and this concept is expressed by If-Then-Rules, which are called behavior rules. In behavior rules, a human behavior is described as a discrete event, and the change of the situation around a person is described by Hidden Markov Model (HMM) which models multi-dimensional time series sensing data. Moreover, and early estimation method of the next human behavior and the timing of its execution is proposed based on the proposed human behavior model. In this research, human operations of a radio controlled vehicle are modeled as an example of application of the proposed model. The usefulness of the proposed method is examined through experimental results of behavior estimation with the constructed behavior model.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129100027","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: 6
Divide & conquer in planning for self-optimizing mechatronic systems - A first application example 自优化机电一体化系统规划中的分而治之——第一个应用实例
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945749
B. Klöpper, S. Honiden, W. Dangelmaier
{"title":"Divide & conquer in planning for self-optimizing mechatronic systems - A first application example","authors":"B. Klöpper, S. Honiden, W. Dangelmaier","doi":"10.1109/CICA.2011.5945749","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945749","url":null,"abstract":"Self-optimizing mechatronic systems are a new class of technical system promising new levels of flexibility and utility in electro-mechanical systems. Planning is an important method to realize self-optimization, although today hardly used in mechatronics. In this context, planning is understood as search for a feasible sequence of operations which implements the execution of specific job assigned to a system. This search is a complex and time-consuming task. Hence, it is desirable to decompose the planning task into smaller sub problems according to paradigm of divide & conquer and use problem specific solution methods. Unfortunately, possible planning sub problems in mechatronic systems cannot be considered isolated since sub modules influence each other. This paper introduces the application of a multi-agent-planning model based on cooperative objective functions that enable the coordinated solution of sub problems.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"30 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132656425","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: 3
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