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2012 16th International Conference on System Theory, control and Computing, ICSTCC 2012

作者： Carpiuc, Sabin-Constantin Lazar, Mircea Faculty of Automatic Control and Computer Engineering Technical University Gheorghe Asachi of Iasi Romania Department of Electrical Engineering Eindhoven University of Technology Netherlands

ISBN: (纸本)9786068348483

A difficult challenge in hybrid electric vehicles (HEVs) and full electric vehicles (EVs) is the torque control of externally excited synchronous machines (EESMs). Effective torque control requires an efficient solution to the state reference generation problem, which is a nonlinear non-convex optimization problem. The goal of this paper is to develop a state reference generation algorithm based on the griding of the state and output spaces. Firstly, an approximation defined over a cubic partition of the torque function with a piecewise affine (PWA) function is made. As a result, the state reference generation problem is reduced in each cube to solving a convex optimization problem. Moreover, this approach provides guarantees about the error bound introduced by the state reference generation procedure for the full operational state-space. To illustrate the effectiveness and robustness of the proposed algorithm several simulation results are presented. The obtained results show significant improvement compared with existing state-of-the-art reference generation methods. © 2012 Dunarea de Jos University.

关键词： Torque control

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Configurable Dynamics of Electromagnetic Suspension by Fuzzy Takagi-Sugeno controller 21st

Configurable Dynamics of Electromagnetic Suspension by Fuzzy...

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21st Polish control Conference, PCC 2023

作者： Pilat, Adam Krzysztof Milanowski, Hubert Bieszczad, Rafal Sikora, Bartiomiej Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics AGH-University of Science and Technology Krakow Poland

ISBN: (纸本)9783031351693

This elaboration presents the synthesis of the Takagi-Sugeno type Fuzzy Logic controller realizing the programmable parameters of the state feedback controller together with the steady state current for the active magnetic levitation system. Closed-loop dynamics was calculated precisely with respect to the requested dynamics. Two cases were considered: fixed-and variable-closed-loop dynamics. The Fuzzy Logic controller was considered under four scenarios with linear, nonlinear, and constant in-range output. The study was supported by simulations and experimental investigations. The position of the levitating sphere stands as an illustration of the system in operation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Dynamics

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Accelerating image retrieval using Binary Haar Wavelet transform on the color and edge directivity descriptor

Accelerating image retrieval using Binary Haar Wavelet trans...

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International Multi-Conference on Computing in The Global Information Technology

作者： Chatzichristofis, Savvas A. Boutalis, Yiannis S. Arampatzis, Avi Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Department of Electrical Electronic and Communication Engineering Automatic Control University of Erlangen Nuremberg Germany

ISBN: (纸本)9780769541815

In this paper, a new accelerating technique for content-based image retrieval is proposed, suitable for the Color and Edge Directivity Descriptor (CEDD). To date, the experimental results presented in the literature have shown that the CEDD demonstrates high rates of successful retrieval in benchmark image databases. Although its storage requirements are minimal, only 54 bytes per image, the time required for the retrieval procedure may be practically too long when searching on large databases. The proposed technique utilizes the Binary Haar Wavelet Transform in order to extract from the CEDD a smaller and more efficient descriptor, with a size of less than 2 bytes per image, speeding up retrieval from large image databases. This descriptor describes the CEDD, but not necessarily the image from which is extracted. The effectiveness of the proposed method is demonstrated through experiments performed with a known benchmark database. © 2010 IEEE.

关键词： Content based retrieval

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Image password lock system by tracing position information of the pupil

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Optica Applicata 2009年第1期39卷 149-160页

作者： Lin, Chern-Sheng Lay, Yun-Long Lin, Chi-Chin Chiu, Chuang-Chien Yeh, Mau-Shiun Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Electronic Engineering National Chinyi University of Technology Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan Chung-Shan Institute of Science and Technology Lung-Tan Tao-Yuan Taiwan

In this paper, a new method for an improved image password lock system by tracing position information of the pupil is described. The present technology relates to an efficient auto-detecting function, and in particular, to an image password lock system, which can provide the benefits of a novel password input mode without any contact. In this system, a PC camera device detects a movable target object to read a dynamic eye image data. Moreover, the dynamic eye image data has a predetermined shooting range set to be a whole-region image, and the whole-region image has a central region and a plurality of specific password regions. A target eye image is displayed by a display device, and then processed by an image processing device, thereby calculating a center coordinate point of the target eye image in the dynamic image data, compiling a password constituted by a movement position of the target object image, displaying the password, and validating the password. Therefore, the benefits of a novel password input mode without any contact, an efficient anti-theft function, are provided.

关键词： Image enhancement

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A novel technique for classification of myoelectric signals for prosthesis 15th

A novel technique for classification of myoelectric signals ...

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

作者： Karlik, B. Tokhi, M.O. Alci, M. Department of Computer Engineering University of Bahrain Bahrain Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom Department of Electrical and Electronics Engineering Ege University Izmir Turkey

ISBN: (纸本)9783902661746

This paper presents an investigation into classifying myoelectric signals using a new fuzzy clustering neural network architecture for control of multifunction prostheses. Moreover, a comparative study of the classification accuracy of myoelectric signals using multi-layer perceptron with back-propagation algorithm, and the new fuzzy clustering neural network (FCNN) is presented. The myoelectric signals considered are used to classify four upper-limb movements, which are elbow flexion, elbow extension, wrist pronation and wrist supination, grasp, and resting. The results suggest that FCNN can generalise better than the multi-layer perceptron without requiring extra computational effort. The proposed neural network algorithm allows the user to learn better and faster. Copyright © 2002 IFAC.

关键词： Myoelectrically controlled prosthetics

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Spatiotemporal analysis of an agent-based model of a colony of keratinocytes: A first approach for the development of validation methods

Spatiotemporal analysis of an agent-based model of a colony ...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Pichardo-Almarza, César Smallwood, Rod Billings, S.A. Department of Computer Science University of Sheffield Sheffield United Kingdom Department of Automatic Control and System Engineering University of Sheffield Sheffield United Kingdom

ISBN: (纸本)1424415098

Agent-based models are widely used for the simulation of systems from several domains (biology, economics, meteorology, etc). In biology agent-based models are very useful for predicting the social behaviour of systems;in particular they seem well adapted to model the behaviour of a cell population. In this paper an agent-based model, developed to study normal human keratinocytes (tissue cells), will be investigated. This kind of model exhibits probabilistic behaviour and the validation of simulation results is often done with a qualitative analysis by the experts (biologists). The main objective of this paper is to propose new variables and metrics that allow the comparison and a possible quantitative validation using numerical results from simulations. ©2007 IEEE.

关键词： Cell culture

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Reweighted nuclear norm regularization: A SPARSEVA approach

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IFAC-PapersOnLine 2015年第28期48卷 1172-1177页

作者： Ha, Huong Welsh, James S. Blomberg, Niclas Rojas, Cristian R. Wahlberg, Bo School of Electrical Engineering and Computer Science The University of Newcastle Technologiepark 913 B-9052 Gent Australia Department of Automatic Control and ACCESS School of Electrical Engineering KTH Royal Institute of Technology StockholmSE-100 44 Sweden

The aim of this paper is to develop a method to estimate high order FIR and ARX models using least squares with re-weighted nuclear norm regularization. Typically, the choice of the tuning parameter in the reweighting scheme is computationally expensive, hence we propose the use of the SPARSEVA (SPARSe Estimation based on a VAlidation criterion) framework to overcome this problem. Furthermore, we suggest the use of the prediction error criterion (PEC) to select the tuning parameter in the SPARSEVA algorithm. Numerical examples demonstrate the veracity of this method which has close ties with the traditional technique of cross validation, but using much less computations. © 2015

关键词： Parameter estimation Digital control systems Discrete time control systems Identification (control systems) Least squares approximations Numerical methods Discrete time systems Nuclear norm regularizations Nuclear norms regularization sparse estimate Sparse estimation Traditional techniques Validation criteria

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Behavioural Swarm Optimisation for Stable Slung-Load Aerial Transportation

Behavioural Swarm Optimisation for Stable Slung-Load Aerial ...

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2023 IEEE Congress on Evolutionary Computation, CEC 2023

作者： Chen, Jingyu Oyekan, John The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom University of York Department of Computer Science York United Kingdom

ISBN: (纸本)9798350314588

Collaboration of agents in a natural swarm enables the accomplishment of tasks that would be difficult or impossible for a single agent to complete alone. For example, a swarm of autonomous Unmanned Aerial Vehicles (UAVs) enables the collaborative sensing of bulky loads for transportation over impassable terrains when the load weighs several times more than each UAV. In this work, we propose a hierarchical algorithmic architecture that supports the search and coverage of various unknown payload profiles for subsequent transportation. The grasping formation of UAVs over the payload emerges from the synthetic behaviours in the architecture without any path planning. Experiments show that our proposed design can be successfully applied in searching and coverage of various loads and has been validated in the real world through the use of Crazyflie micro-UAVs. Furthermore, the proposed grasping formation satisfies static equilibrium thereby reducing orientation changes in the load-swarm system during transportation. © 2023 IEEE.

关键词： Motion planning

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Enhanced cyber-physical system with semantic technologies and machine learning to support smart farming 24

Enhanced cyber-physical system with semantic technologies an...

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24th International Conference on control Systems and computer Science, CSCS 2023

作者： Ciolofan, Sorin N. Dragoicea, Monica Popeanga, Daniel-Catalin Politehnica University of Bucharest Department of Computer Science Bucharest Romania Politehnica University of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania

ISBN: (纸本)9798350313390

An important aspect related to the effects of agricultural activities on the environment is represented by the nutrient loss in water and air (specifically nitrogen). The interactions between catchments hydrological processes, management of farm activities, climate changes and nitrogen losses constitute a complex phenomenon yet not well understood, being an important concern from the sustainable agriculture perspective. Nitrogen can be lost with water as leaching or runoff, or as gas as ammonia volatilization. Nitrous oxide (N2O) is particularly problematic because it is also a powerful greenhouse gas. The goal of the current article is to present innovative digital techniques to advance in understanding of this phenomena through an Information System that integrates Artificial Intelligence techniques such as Semantic Technologies and Machine Learning (ML) into Cyber-Physical Systems (CPS) to support smart farming and sustainable agriculture. © 2023 IEEE.

关键词： Semantics

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Affinely Parametrized State-space Models: Ways to Maximize the Likelihood Function

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IFAC-PapersOnLine 2018年第15期51卷 718-723页

作者： Wills, Adrian Yu, Chengpu Ljung, Lennart Verhaegen, Michel School of Electrical Engineering and Computer Science University of Newcastle Australia School iof Automation Beijing Institute of Technology China Division of Automatic Control Department of Electrical Engineering Linkoping University Sweden Delft Center for Systems and Control Delft University Delft2628CD Netherlands

Using Maximum Likelihood (or Prediction Error) methods to identify linear state space model is a prime technique. The likelihood function is a nonconvex function and care must be exercised in the numerical maximization. Here the focus will be on affine parameterizations which allow some special techniques and algorithms. Three approaches to formulate and perform the maximization are described in this contribution: (1) The standard and well known Gauss-Newton iterative search, (2) a scheme based on the EM (expectation-maximization) technique, which becomes especially simple in the affine parameterization case, and (3) a new approach based on lifting the problem to a higher dimension in the parameter space and introducing rank constraints. © 2018

关键词： Maximum likelihood estimation

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