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15th World Congress of the International Federation of automatic control, 2002

作者： Rzewuski, M. Rogers, E. Owens, D.H. Dept. of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom

ISBN: (纸本)9783902661746

Recent years has seen much progress in the theory and application of iterative learning control schemes for both linear and (classes of) nonlinear dynamics. In the case of the former, many algorithms based on minimizing a suitable cost function have been reported. Here the interest is in the so-called norm optimal approach where the basic philosophy is to compute the control input on the current trial such that the tracking error is reduced in an optimal way without too much deviation from the control input used on the previous trial. This paper compares the performance of a range of controllers arising from use of the norm optimal approach - both stand alone and against alternatives. Copyright © 2002 IFAC.

关键词： Iterative methods

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Optimization of Neural Networks using Swarm Intelligence Techniques for Achieving Energy Efficiency in Smart Building Architecture 1

Optimization of Neural Networks using Swarm Intelligence Tec...

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1st IEEE International Conference on Cognitive Robotics and Intelligent Systems, ICC - ROBINS 2024

作者： Raja, M. Karthick Shermatova, Makhbuba Al Ansari, Mohammed Saleh Abdufattokhov, Shokhjakhon Rao, Vuda Sreenivasa Raj, I. Infant Sri Eshwar College of Engineering Department of Computer Science and Engineering Coimbatore India Turin Polytechnic University in Tashkent Civil Engineering and Architecture Department Tashkent Uzbekistan University of Bahrain College of Engineering Department of Chemical Engineering Bahrain Turin Polytechnic University Automatic Control and Computer Engineering Dept Italy Tashkent Intl. University of Education Dept of Information Technologies Tashkent Uzbekistan Koneru Lakshmaiah Education Fou. Green Fields Department of Computer Science and Engineering A.P Vaddeswaram522302 India K. Ramakrishnan College of Engineering Department of Computer Science and Engineering Tamil Nadu Trichy621 112 India

ISBN: (纸本)9798350372748

The increasing prevalence of smart building architectures, driven by the integration of Internet of Things (IoT) devices and automation systems, has led to a surge in energy consumption. This research explores the application of swarm intelligence techniques as an innovative approach to optimize neural networks, aiming to strike a balance between maintaining the desired performance levels and minimizing energy consumption. The study investigates the integration of swarm-based optimization algorithms, such as Particle Swarm Optimization (PSO) into the training and operation of neural networks. These algorithms enable the networks to dynamically adapt and optimize their parameters in response to changing environmental conditions and user requirements. The research focuses on developing a comprehensive framework that considers the specific challenges posed by smart building architectures, including real-time data processing, sensor integration, and adaptive control. The proposed approach aims to achieve optimal neural network configurations that minimize energy consumption while ensuring reliable and responsive operation of smart building systems. The results demonstrate the potential of swarm intelligence to significantly improve the energy efficiency of neural network-enabled smart building architectures, providing a promising avenue for sustainable and intelligent infrastructure. The proposed model has an accuracy of 98.23% which is 7.64% higher than that of the traditional approaches. © 2024 IEEE.

关键词： Energy efficiency

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Closed Loop Fault Detectability Based on a Gap-Metric 2

Closed Loop Fault Detectability Based on a Gap-Metric

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2nd IEEE Conference on control Technology and Applications, CCTA 2018

作者： Sekunda, Andre Ding, Steven Kjolstad Poulsen, Niels Niemann, Henrik Department of Electrical Engineering Automation and Control Tech. University of Denmark Kgs. LyngbyDk-2800 Denmark Dept. of Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany Dept. of Applied Mathematics and Computer Science Tech. University of Denmark Kgs. LyngbyDk-2800 Denmark

ISBN: (纸本)9781538676981

Systems are often controlled using feedback loops. Fault diagnosis schemes are usually designed assuming that there is no feedback loop. Therefore fault diagnosis methods need to accommodate for the feedback loop. One such method is active fault diagnosis based on a fault signature system. This method is derived using the YJBK parametrisation, named after Youla, Jabr, Bongiorno and Kucera. It uses the derived fault signature system to determine the detectability of possible faults in the system. Deriving the fault signature system requires knowledge about the controller. This paper demonstrates the possibility of estimating the detectability of faults in the fault signature system using a gap-metric. The gap-metric has the advantage of only requiring knowledge about the plant. By using the gap-metric it is possible to estimate the detectability of faults without using information about the controller. © 2018 IEEE.

关键词： Fault detection

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Automobile lane detection System-on-Chip integrated with mixed signal mode CMOS image sensor

Automobile lane detection System-on-Chip integrated with mix...

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9th International Symposium on Consumer Electronics 2005, ISCE 2005

作者： Hsiao, Pei-Yung Cheng, Hsien-Chein Yeh, Chun-Wei Huang, Shih-Shinh Fu, Li-Chen IEEE Department of Electronic Engineering Chang Gung University Tao-Yuan Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Genesyslogic Co. Ltd. Circuit Layout Department Dept. of Electronic Engineering and Information Management Chang Gung University Department of Electrical Engineering Department of Computer Science and Information Engineering National Taiwan University Robotics and Automation Society Automatic Control Society Chinese Automatic Control Society Chinese Institute of Automation Engineers

In this paper, we aim at developing a System-on-Chip, SoC, which can capture image as well as produce vehicle lane map at the same time. We adopt Peak-Finding based lane detection algorithm that can achieve high recognition rate about 96% even under various weather conditions. The features of the proposed SoC are a single low-cost and compact chip which implements the lane detection algorithm with mixed signal mode CMOS image sensor. Therefore, it can be easily used in thousands of consumer electronics for intelligent automobile applications. © IEEE.

关键词： Image sensors

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Stochastic circulatory lymphocyte models

Lecture Notes in Control and Information Sciences

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Lecture Notes in control and Information Sciences 2006年 106卷 130-145页

作者： Farooqi, Z.H. Mohler, R.R. Dept. of Electrical and Computer Engineering Oregon State University Corvallis OR 97331 United States Institute of Automatic Control Technical University of Warsaw Poland

No abstract available

ISBN: (纸本)9783540188612

No abstract available

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On real-time control tasks schedulability 6

On real-time control tasks schedulability

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6th European control Conference, ECC 2001

作者： Marti, P. Villa, R. Fuertes, J.M. Fohle, G. Dep. of Automatic Control Universitat Politècnica de Catalunya Pau Gargallo 5 Barcelona08028 Spain Dept. of Computer Engineering Mälardalen Högskola PO Box 883 VästeråsSE-721 23 Sweden

ISBN: (纸本)9783952417362

In general, characteristics of classical control theory and properties of real-time scheduling algorithms may cause unexpected control system responses in the implementation of real-time computer-controlled systems. Revising realtime scheduling properties, we analyse which are the main timing problems that current scheduling algorithms may introduce in the execution of control loops. Next, we categorise those timing problems, that is, jitters on task-instances executions, in a control context. Afterwards, we show, by simulations, different types of control system performance degradation that these jitters may cause. Finally, we propose possible solutions that solves this degradation, based on irregular sampling discrete-time system models with varying time delays. © 2001 EUCA.

关键词： Real time control

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An integrated image fusion technique for boosting the quality of noisy remote sensing images

An integrated image fusion technique for boosting the qualit...

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24h National Radio Science Conference, NRSC 2007

作者： Nasr, M.E. Elkaffas, S.M. El-Tobely, T.A. Ragheb, A.M. Abd El-Samie, F.E. Electronic and Communication Engineering Department Tanta University Egypt Info. Tech. Dept. Inst. of Graduate Studies and Research Alexandria University Egypt Computer and Automatic Control Department Tanta University Egypt Communication Department Menofia University Egypt

To better identify the objects in remote sensing images, the multispectral images with high spectral resolution and low spatial resolution, and the panchromatic images with high spatial resolution and low spectral resolution need to be fused. Many fusion techniques are discussed in the recent years to obtain images with high spectral resolution and also high spatial resolution. In this paper an image fusion technique, based on integrating both the Intensity-Hue-Saturation (IHS) and the Discrete Wavelet Frame Transform (DWFT), is proposed for boosting the quality of remote sensing images. A panchromatic and multispectral image from Landsat-7(ETM+) satellite has been fused using this new approach. Experimental results show that the proposed technique improves the spectral and spatial qualities of the fused images. Moreover, when this technique is applied to noisy and de-noised remote sensing images it can preserve the quality of the fused images. Comparison analyses between different fusion techniques are also presented and show that the proposed technique outperforms the other techniques.

关键词： Image fusion

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Implementation of constrained predictive outer-loop controllers: Application to a boiler control system 15th

Implementation of constrained predictive outer-loop controll...

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15th World Congress of the International Federation of automatic control, 2002

作者： Tadeo, Fernando Alvarez, Teresa Grimble, Mike Vilanova, Ramon Departamento de Ingenieria de Sistemas y Automática Facultad de Ciencias Universidad de Valladolid Valladolid47011 Spain Industrial Control Centre Strathclyde University United Kingdom Automatic Control and Systems Engineering Group Dept. of Computer Science Universitat Autonoma de Barcelona Bellaterra Barcelona08193 Spain

ISBN: (纸本)9783902661746

This paper addresses the problem of implementing predictive controllers for supervisory level control systems. In this configuration the manipulated variables calculated by the Predictive controller are used as command signals for the Distributed control Systems, which provide references to the operator-tuned local PID controllers that act on the physical system. This structure introduces the problem of loosing of performance if the inner-loop controllers are re-tuned. The paper discusses the solution to this problem based on the use of a two-degrees-of-freedom structure in the inner loop, that separates open and closed-loop properties. Both design guidelines and robustness issues are discussed. Copyright © 2002 IFAC.

关键词： controllers

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ANFIS based Jacobian for a parallel manipulator mobility assistive device 10

ANFIS based Jacobian for a parallel manipulator mobility ass...

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10th UKACC International Conference on control, control 2014

作者： Asker, Ahmed Salah, Omar Fath El-Bab, Ahmed M. R. Ramadan, Ahmed A. Assal, Samy M. F. Sessa, Salvatore Abo-Ismail, Ahmed School of Innovative Design Engineering Egypt-Japan University for Science and Technology E-JUST New-Borg-El-Arab-City-Alexandria Egypt Mechanical Engineering Dept Faculty of Engineering Assiut University Assiut Egypt Dept. of Production Engineering and Mechanical Design Faculty of Engineering Tanta University Tanta Egypt Computer and Automatic Control Dept Faculty of Engineering Tanta University Tanta Egypt Graduate School of Creative Science and Engineering Waseda University Tokyo Japan

ISBN: (纸本)9781479950119

Nowadays parallel manipulators are used widely in bioengineering applications;this leads to many exciting expectations as well as challenges. The kinematic analysis of parallel manipulators with their differential kinematics yielding the Jacobian in a closed form is not a trivial task. In this paper a parallel manipulator based mobility assistive device called EJADII is analyzed to determine forward kinematics, inverse kinematics and closed-form Jacobian. An Adaptive Neuro-Fuzzy Inference System (ANFIS) is trained to estimate the Jacobian. This system would be useful when determination of the Jacobian in a closed-form is difficult to determine. The human motion during sit to stand captured by VICON experiment is used with two assisting scenarios to train and verify this system. computer simulations show relatively good results of the proposed system. © 2014 IEEE.

关键词： Inverse kinematics

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Adaptive control Using a Quaternion Wavelet Neural Network

Adaptive Control Using a Quaternion Wavelet Neural Network

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International Workshop on Robot Motion and control (RoMoCo)

作者： Gerardo Martínez-Terán Eduardo Bayro-Corrochano Dept. Electrical Engineering and Computer Science CINVESTAV Guadalajara Mexico Institute of Automatic Control and Robotics Poznan University of Technology

ISBN: (数字)9798350393965

ISBN: (纸本)9798350393972

Robotics and haptic systems have allowed new and diverse applications in the field of medicine, such as assisted surgery and teleoperation which have increasingly stringent requirements for accuracy, convergence, and low computational consumption. In this paper an adaptive PID control law (Proportional Integral Derivative controller, PID), of indirect architecture is presented for movement paths in a haptic system of open chain, where the identification of the plant is through a quaternionic wavelet neural network (Quaternion Wavelet Neural Network, QWNN) for tune the PID values, this allows the optimal movement into the regions of the workspace.

关键词： Uncertainty Quaternions Neural networks Surgery Robustness Haptic interfaces Topology

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