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European control Conference (ECC)

作者： Dijana J. Tanevska Georgi M. Dimirovski Mile J. Stankovski Yuanwei Jing Makedonski Telekomunikacii AD Skopje Republic of Macedonia Faculty of Electrical Engg SS Cyril and Methodius University Skopje Republic of Macedonia Department of Computer Engg DOGUS University Kadikoy Istanbul Turkey Dept. of Automatic Control & Control Eng Northeastern University Shenyang Liaoning P.R. of China

Analysis of complex systems such as hierarchically structured network systems that are employed in modelling and analysis various aspects and issues of control and management in telecommunications is investigated. Theory of graphs and binary matrices appear to be most suitable tools for modelling the overall structure of complex systems, in general, and of systemic hierarchies, in particular. A systematic methodology has been developed for computer simulation analysis and detecting general hierarchies in communications networking as well as for synthesis of system hierarchies. This methodology is an improved extension of Warfield's technique.

关键词： Matrix decomposition Finite element analysis Graphics Software computers Computational modeling

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ANFIS based Jacobian for a parallel manipulator mobility assistive device

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

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UKACC International Conference on control (control)

作者： Ahmed Asker Omar Salah Ahmed M. R. Fath El-Bab Ahmed A. Ramadan Samy M. F. Assal Salvatore Sessa Ahmed Abo-Ismail School of Innovative Design Engineering Egypt-Japan University for Science and Technology Alexandria Egypt Mechanical Engineering Dept Assiut University Assiut Egypt Computer and Automatic Control Dept Tanta University Tanta Egypt Dept. of Production Engineering and Mechanical Design Tanta University Tanta Egypt

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.

关键词： Jacobian matrices Kinematics Actuators Joints Manipulators Equations Mathematical model

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Web-based control Laboratory: The Ball and Beam System

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IFAC Proceedings Volumes 2010年第24期42卷 174-179页

作者： M. Guinaldo H. Vargas J. Sánchez E. Sanz S. Dormido Dept. Of Computer Science and Automatic Control UNED C/ Juan del Rosal 16 28040 Madrid Spain (e-mail: mguinaldo@bec.uned.es hvargas@bec.uned.es jsanchez@dia.uned.es esanz@usal.es sdormido@dia.uned.es)

This paper presents a Web-based control laboratory of a non-linear and unstable system: the ball and beam plant. Different control strategies, apart from the traditional PID, as Robust, Fuzzy and PD-Reset control have been taken to give students a wider vision of control approaches. The client-side of the virtual laboratory has been developed using EJS (Easy Java Simulations), an open-source tool that allows creating Java applications easily. Meanwhile, the application that locally interacts with the system is written in LabVIEW. Different experiences are presented showing the advantages of advanced control strategies over PD control.

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A computer Vision-Based Solution for Assessing Prosthetic Leg Length Discrepancy

A Computer Vision-Based Solution for Assessing Prosthetic Le...

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E-Health and Bioengineering Conference (EHB)

作者： Otilia Zvorişteanu Dimitrie-Cristian Fodor Vasile-Ion Manta Neculai-Eugen Seghedin Ştefan-Daniel Achirei Dragoş-Florin Chitariu Dept. of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iaşi Iaşi Romania “Dr. Iacob Czihac” Military Emergency Clinical Hospital Iaşi Dept. of Digital Production Systems Faculty of Machine Manufacturing and Industrial Management “Gheorghe Asachi” Technical University of Iaşi Iaşi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

This paper presents a novel computer vision-based approach for assessing leg length discrepancy (LLD) in individuals with prosthetic limbs. The proposed solution uses image processing techniques to detect markers placed on the patient's knee, prosthesis, and a reference wall, allowing for precise measurement of limb alignment. Through a comparative analysis of the initial reference position, set by a specialist, and the current limb positioning, the algorithm identifies discrepancies in leg length. The system employs a non-invasive methodology, utilizing an IP camera to capture images and communicate them via Wi-Fi to a computing unit for further analysis. Experimental validation, conducted on simulated LLDs ranging from 1mm to 10mm, demonstrates the system's high sensitivity and accuracy in detecting subtle changes in limb alignment. This approach offers a scalable, automated alternative to traditional manual methods, improving both the reliability and ease of prosthetic adjustments.

关键词： Legged locomotion Wireless communication Limbs Prosthetic limbs Current measurement Manuals Cameras Reliability IP networks Wireless fidelity

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control communications with DDS using IEC61499 Service Interface Function Blocks

Control communications with DDS using IEC61499 Service Inter...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Isidro Calvo Federico Pérez Ismael Etxeberria Guadalupe Morán Dept. of Automatic Control and Systems Engineering University of the Basque Country (UPV/EHU) Spain Dept. of Computer Languages and Systems University of the Basque Country (UPV/EHU) Spain Electronics Division Faculty of Engineering Universidad Autónoma del Estado de Mexico Toluca Mexico Electronics Division Faculty of Engineering UAEM Toluca MEXICO

The IEC61499 is an open standard for distributed control and automation. The interface between control software and hardware or communications is achieved by means of the so-called Service Interface Function Blocks (SIFB). This paper presents the guidelines to build communication SIFBs based on the emerging OMG DDS (Data Distribution Service) middleware. This specification implements in a very efficient way the Publisher/Subscriber paradigm providing significant QoS configuration possibilities. These characteristics make DDS suitable for implementing the communications among time-critical devices. By using these DDS-SIFBs within IEC61499 code generation tools, the designers of the distributed applications will be allowed to use this powerful technology in the new distributed applications.

关键词： IEC standards Middleware Hardware Quality of service Distributed control Software Process control

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Clustering in block Markov chains

arXiv

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arXiv 2017年

作者： Sanders, Jaron Proutière, Alexandre Yun, Se-Young Kth Royal Institute of Technology School of Electrical Engineering Dept. of Automatic Control Osquldasväg 10 Stockholm10044 Sweden Delft University of Technology Faculty of Electrical Engineering Mathematics and Computer Science Dept. of Quantum and Computer Engineering Mekelweg 4 Delft2628CD Netherlands Korea Advanced Institute of Science and Technology Dept. of Industrial and Systems Engineering 291 Daehak-ro Eoeun-dong Yuseong-gu Korea Republic of

This paper considers cluster detection in Block Markov Chains (BMCs). These Markov chains are characterized by a block structure in their transition matrix. More precisely, the n possible states are divided into a finite number of K groups or clusters, such that states in the same cluster exhibit the same transition rates to other states. One observes a trajectory of the Markov chain, and the objective is to recover, from this observation only, the (initially unknown) clusters. In this paper we devise a clustering procedure that accurately, efficiently, and provably detects the clusters. We first derive a fundamental information-theoretical lower bound on the detection error rate satisfied under any clustering algorithm. This bound identifies the parameters of the BMC, and trajectory lengths, for which it is possible to accurately detect the clusters. We next develop two clustering algorithms that can together accurately recover the cluster structure from the shortest possible trajectories, whenever the parameters allow detection. These algorithms thus reach the fundamental detectability limit, and are optimal in that sense. Copyright © 2017, The Authors. All rights reserved.

关键词： Asymptotic analysis

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Bayesian Neural Networks Uncertainty Quantification with Cubature Rules

Bayesian Neural Networks Uncertainty Quantification with Cub...

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International Joint Conference on Neural Networks (IJCNN)

作者： Peng Wang Nidhal C. Bouaynaya Lyudmila Mihaylova Jikai Wang Qibin Zhang Renke He Automatic Control & Systems Engineering Dept. The University of Sheffield Information and Navigation College Air Force Engineering University The 32nd Research Institute of CETC Department of Automation University of Science and Technology of China Department of Electrical and Computer Engineering Rowan University

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Bayesian neural networks are powerful inference methods by accounting for randomness in the data and the network model. Uncertainty quantification at the output of neural networks is critical, especially for applications such as autonomous driving and hazardous weather forecasting. However, approaches for theoretical analysis of Bayesian neural networks remain limited. This paper makes a step forward towards mathematical quantification of uncertainty in neural network models and proposes a cubature-rule-based computationally-efficient uncertainty quantification approach that captures layer-wise uncertainties of Bayesian neural networks. The proposed approach approximates the first two moments of the posterior distribution of the parameters by propagating cubature points across the network nonlinearities. Simulation results show that the proposed approach can achieve more diverse layer-wise uncertainty quantification results of neural networks with a fast convergence rate.

关键词： Neural networks Uncertainty Bayes methods Computational modeling Gaussian distribution Two dimensional displays Weather forecasting

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Numerical approach to design of low frequency magnetic field irradiation system for lab on chip experiments

Numerical approach to design of low frequency magnetic field...

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ELEKTRO

作者： Roman Radil Marek Bajtoš Lucia Č arnecká Klaudia Hargaš ová Patrik Kamencay Department of Electromagnetic and Biomedical Engineering University of Zilina Zilina Slovakia Department of Systems Biology and Engineering Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Dept. of Electromagnetic and Biomedical Engineering Organization University of Zilina Zilina Slovakia

ISBN: (数字)9781665467261

ISBN: (纸本)9781665467278

The article is focused on design of specific electromagnetic coil system using numerical modelling and simulation methods. The proposed solution would be capable of delivering magnetic field of desired strength/ flux density and homogeneity within the specific area to affect the cultivation process of single cells in lab on chip experiments.

关键词： Radiation effects Numerical models Magnetic fields Electromagnetics

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IMPLEMENTATION OF CONSTRAINED PREDICTIVE OUTER-LOOP controlLERS: APPLICATION TO A BOILER control SYSTEM

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IFAC Proceedings Volumes 2002年第1期35卷 145-150页

作者： Fernando Tadeo Teresa Alvarez Mike Grimble Ramon Vilanova Departamento de Ingenieria de Sistemas y Automática Facultad de Ciencias. Universidad de Valladolid. 47011 Valladolid Spain Tlf:+34 983 423566 Fax:+34 983 423161 Industrial Control Centre Strathclyde University United Kingdom Automatic Control and Systems Engineering Group Dept. of Computer Science Universitat Autonoma de Barcelona 08193 Bellaterra – Barcelona Spain

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.

关键词： Supervisory control Predictive control

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A Memory NN Computing Structure for Identification of Non-Linear Process Dynamics

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IFAC Proceedings Volumes 2001年第3期34卷 39-44页

作者： Cvetko J. Andreeski Georgi M. Dimirovski Faculty of Tourism & Hospitality Ohrid St. Klement Ohridski University Bitola MK-6000 Ohrid Republic of Macedonia FAX#: ++ 389-96262247 ASE Department Faculty of EE SSs Cyril& Methodius University Skopje Rep. of Macedonia Dept. of Automatic Control & Cont. Syst. Technology johannes Kepler University Linz Austria Dept. of Computer Eng. DOGUS University Acibadem TR-81010 Kadikoy-Istanbul Turkey

Identification of certain system needs search for class of functions or model forapproximation of the system input-output behavior in the "best" possible way. In most situations, as in dynamic systems identification, pattern recognition etc., the value of the output of the mode ling system is function of the previous values of outputs and inputs. In the current circumstances almost all efforts for using neural networks for identification and control are based on feed-forward networks. If the system order or the upper limit of the order is known, all the necessary previous values of the inputs and outputs of the mode led system can be put as input in the network. The network can learn non-memory transformations that include thesystem output dependence on specified previous inputs and outputs.

关键词： Identification non-linear dynamical processes memory neural networks NNcomputing structure process control

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