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检索条件"任意字段=IEEE Symposium on Computational Intelligence in Control and Automation, CICA"
1053 条 记 录,以下是321-330 订阅
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Speeding up top-down attention control learning by using full observation knowledge
Speeding up top-down attention control learning by using ful...
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2009 ieee International symposium on computational intelligence in Robotics and automation, CIRA 2009
作者: Noori, N. Nili Ahmadabadi, M. Mirian, M.S. Araabi, B.N. Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran
We present a general mathematical description of the top-down attention control problem. Three important components are identified in the model: context extraction, attention focus and decision making. The context giv... 详细信息
来源: 评论
Biomimetic hybrid feedback feedforword adaptive neural control of robotic arms
Biomimetic hybrid feedback feedforword adaptive neural contr...
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ieee symposium on computational intelligence in control and automation, cica
作者: Yongping Pan Haoyong Yu Department of Biomedical Engineering National University of Singapore Singapore
This paper presents a biomimetic hybrid feedback feedforword (HFF) adaptive neural control for a class of robotic arms. The control structure includes a proportional-derivative feedback term and an adaptive neural net... 详细信息
来源: 评论
Glucose level regulation for diabetes mellitus type 1 patients using FPGA neural inverse optimal control
Glucose level regulation for diabetes mellitus type 1 patien...
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ieee symposium on computational intelligence in control and automation, cica
作者: Jorge C. Romero-Aragon Edgar N. Sanchez Alma Y. Alanis Unidad Guadalajara Col. El Bajio CINVESTAV Jalisco Mexico CUCEI Universidad de Guadalajara Col. Las Aguilas Jalisco Mexico
In this paper, the field programmable gate array (FPGA) implementation of a discrete-time inverse neural optimal control for trajectory tracking is proposed to regulate glucose level for type 1 diabetes mellitus (T1DM... 详细信息
来源: 评论
Approximation and Complexity Trade-off by TP model transformation in controller Design: A case study of the TORA system
Approximation and Complexity Trade-off by TP model transform...
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8th International symposium of Hungarian Researchers on computational intelligence and Informatics, CINTI 2007
作者: Petres, Zoltán Baranyi, Péter System and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Hungary
The main objective of the paper is to study the approximation and complexity trade-off capabilities of the recently proposed Tensor Product Distributed Compensation (TPDC) based control design framework. The TPDC is t... 详细信息
来源: 评论
Sound direction recognition using a condenser microphone array
Sound direction recognition using a condenser microphone arr...
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2003 ieee International symposium on computational intelligence in Robotics and automation, CIRA 2003
作者: Song, Kai-Tai Chen, Jian-Liang Department of Electrical and Control Engineering National Chian Tung University 1001 Ta Hsueh Road Hsinchu300 Taiwan
This paper presents a sound direction recognition system for intelligent mobile robots. We studied the analysis, design, and circuit realization of a standalone sound recognition system using multiple condenser microp... 详细信息
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New multiagent coordination optimization algorithms for mixed-binary nonlinear programming with control applications
New multiagent coordination optimization algorithms for mixe...
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ieee symposium on computational intelligence in control and automation, cica
作者: Haopeng Zhang Qing Hui Department of Mechanical Engineering Texas Tech University Lubbock TX USA
Mixed-binary nonlinear programming (MBNP), which can be used to optimize network structure and network parameters simultaneously, has been seen widely in applications of cyber-physical network systems. However, it is ... 详细信息
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Optimization of engine speed neural network PID controller based on genetic algorithm
Optimization of engine speed neural network PID controller b...
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2011 4th International symposium on computational intelligence and Design, ISCID 2011
作者: Cao, Hua-Yun Peng, Fu-Ming School of Automation Nanjing University of Science and Technology Nanjing China
Engine-Dynamometer system is a two-input, dual output system with nonlinear, time-varying characteristics of large inertia, and exists coupling within the system input and output. Using the traditional PID controller,... 详细信息
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Learning policies for attentional control  3
Learning policies for attentional control
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3rd ieee International symposium on computational intelligence in Robotics and automation, CIRA 1999
作者: Gonçalves, Luiz M.G. Giraldi, Gilson A. Oliveira, Antonio A.F. Grupen, Rod A. AmherstMA01003 United States CP 68511 RJ Rio de Janeiro21945-970 Brazil
In this work we propose two behavioraly active policies for attentional control. These policies must act based on a multi-modal sensory feedback. Two approaches are used to derive the policies: the first one follows a... 详细信息
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Effects of parameter values and noise on PSO-based predictive control: An empirical study
Effects of parameter values and noise on PSO-based predictiv...
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ieee symposium on computational intelligence in control and automation, cica
作者: Muhammad S. Yousuf Hussain N. Al-Duwaish Department of Electrical Engineering King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia
In this paper, a Particle Swarm Optimization (PSO) based Model Predictive control (MPC) scheme is studied through a variety of tests to better understand its behavior and characteristics. The technique has already bee... 详细信息
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Evidence based decision analysis and support
Evidence based decision analysis and support
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ieee symposium on computational intelligence in control and automation, cica
作者: Jian-Bo Yang Dong-Ling Xu Manchester Business School University of Manchester Institute of Science and Technology Manchester UK
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 ... 详细信息
来源: 评论