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检索条件"机构=Computer Science and Control Engineering"

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The optimal artificial neural network model of time-voltage signal of the combination wave generator

The optimal artificial neural network model of time-voltage ...

引用

2018 International Symposium on Electrical Machines, SME 2018

作者： Dudzik, Marek Wrobel, Zofia Mielnik, Ryszard Department of Traction and Traffic Control Faculty of Electrical and Computer Engineering Cracow University of Technology Institute of Electrical Engineering and Computer Science ul. Warszawska 24 Kraków31-155 Poland Railway Lines Establishment in Rzeszów PKP Polish Railway Lines JSC ul. St. Batorego 26 Rzeszów35-005 Poland Faculty of Electrical and Computer Engineering Cracow University of Technology Institute of Electromechanical Energy Conversion ul. Warszawska 24 Kraków31-155 Poland

ISBN: (纸本)9781538652107

This article is the continuation (the next stage) of works related to modeling of the time waveform of voltage signal generated by combination wave generator. In the previous stage of work, a preliminary voltage signal model was developed. This model, that uses an artificial neural network, is built from one hidden layer and four neurons. This article presents the optimal structure of the model. This new, optimal structure of this model, had one hidden layer consisting of fourty seven neurons. The authors of this article propose the replacement of typical mathematical and numerical models describing the 1.250 s voltage surge of the combination wave generator, an elaborated optimal model of artificial neural network in the simulation of the voltage surge. This optimal model authors envisage using in simulation studies on surge protection systems. Such systems are also used in the surge protection of electric motors. © 2018 IEEE.

关键词： Surge protection

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Comparative Study of Optimal Nonlinear control Schemes for Hanging Mass Actuated by Uncertain Pneumatic Muscle

Comparative Study of Optimal Nonlinear Control Schemes for H...

引用

11th IEEE International Conference on System engineering and Technology, ICSET 2021

作者： Sadiq, Musaab Esam Humaidi, Amjad Jaleel Kadhim, Saleem Khalefa Mahdi, Abdulkareem Sh. Alkhayyat, Ahmed Ibraheem, Ibraheem Kasim General Company for Grain Processing Ministry of Trade Baghdad Iraq University of Technology Control and Systems Eng. Dept. Baghdad Iraq School of Computer Science and Eng. Taylor's University Malaysia College of Technical Engineering Islamic University Najaf Iraq College of Engineering University of Baghdad Baghdad Iraq

ISBN: (纸本)9781665437660

The systems actuated by Pneumatic Artificial Muscles (PAMs) are characterized by high nonlinearity and time-varying of their coefficients. Therefore, nonlinear and robust controllers are required to cope with these challenging control problems. This work presents the development of new control design for trajectory tracking of PAM-Actuated manipulator based on Sliding Mode control (SMC), Backstepping Sliding Mode control (BSMC). The control laws of controlled PAM hanging mass based on SMC and BSMC have been developed according to Lyapunov stability analysis. Additionally, the PSO technique is used to tune the design parameters of proposed controllers for further enhancement of controlled PAM system performance. A comparison study has been conducted among the proposed controllers via computer simulation using MATLAB/Simulink programming software. © 2021 IEEE.

关键词： Trajectory tracking System performance Muscles Programming Systems engineering and theory Software Nonlinear dynamical systems

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Parameter identification for uncertain linear systems with partial state measurements under an H/sup /spl infin// criterion

Parameter identification for uncertain linear systems with p...

引用

IEEE Conference on Decision and control

作者： Zigang Pan T. Basar Decision and Control Laboratory Coordinated Science Laboratory and the Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign IL USA

The paper addresses the worst-case parameter identification problem for linear systems under partial state measurements. Using the cost-to-come function method, worst-case identifiers are derived for SISO systems. The worst-case identifier thus obtained includes the Kreisselmeier observer as part of its structure, with parameters set at some optimal values. Its structure is different from the common least-squares (LS) identifier, however, in the sense that there is an additional dynamics for the state estimate, coupled with the dynamics of the parameter estimate in a nontrivial way. A reduced-order identifier is obtained, which is numerically much better conditioned when the disturbances in the measurement equations are "small".

关键词： Parameter estimation Linear systems Noise measurement State estimation Coordinate measuring machines Electric variables measurement Observers MIMO Energy measurement Riccati equations

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An Information Source Localization Algorithm Based on Node Reachability Measurement

An Information Source Localization Algorithm Based on Node R...

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International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Hong Zhang Bing Guo Yan Shen Xu-Liang Duan Yun-Cheng Shen Xiang-Qian Dong Department of Computer Science Sichuan University Chengdu China Department of Control Engineering Chengdu University of Information Technology Chengdu China

In order to research the localization problem of information source in social network, this paper constructs complex network node model based on cellular automaton (Random-Susceptible-Infected-Recovered, R-SIS). The number of forwarding paths and the probability of the forwarding path of other nodes are then utilized and a method of localization information source based on node reachability measurement is submitted. Experimental results show that the algorithm can avoid the time complexity of maximum likelihood estimation and overcome the inaccuracy of step estimation in the reachability measure which is of great significance for information protection in social networks.

关键词： Complex networks Automata Social network services Maximum likelihood estimation Data models Security

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A modified fuzzy c-means algorithm for breast tissue density segmentation in mammograms

A modified fuzzy c-means algorithm for breast tissue density...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Zhili Chen Reyer Zwiggelaar Department of Computer Science Aberystwyth University Aberystwyth UK Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang China

The fuzzy c-means (FCM) algorithm has been applied in a variety of medical image segmentation applications. The conventional FCM algorithm uses the greylevel information at a single pixel as the feature space and this contains no spatial contextual information, which makes it very sensitive to noise and intensity inhomogeneities. Recently, some modified FCM algorithms with spatial constraints have been published. However, these have individual disadvantages and are not robust enough with different types of noise. In this paper, we propose a modified FCM algorithm incorporating local spatial and intensity information based on an adaptive local window filter whose weighting coefficients differentiate the neighbouring pixels within the local window. Fast clustering is afterwards performed on the intensity histogram of the filtered image. To demonstrate the robustness and insensitivity to noise of the proposed algorithm, it is extensively tested using synthetic images corrupted by a variety of noise. The experimental results are quantitatively evaluated and compared. This algorithm is then applied to mammographic images for breast tissue density segmentation. The segmentation results indicate its effectiveness to the presence of intensity inhomogeneities in mammograms from different density categories.

关键词： Image segmentation Variable speed drives Europe Nonhomogeneous media Robustness computers Pixel

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Using 2D systems theory to design output signal based iterative learning control laws with experimental verification

Using 2D systems theory to design output signal based iterat...

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IEEE Conference on Decision and control

作者： Lukasz Hladowski Zhonglun Cai Krzysztof Galkowski Eric Rogers Chris T. Freeman Paul L. Lewin Institute of Control and Computation Engineering University of Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK

ISBN: (纸本)9781424431236

In this paper we use a 2D systems setting to develop new results on iterative learning control for linear plants, where it is well known in the subject area that a trade-off exists between speed of convergence and the response along the trials. Here we give new results by designing the control scheme using a strong form of stability for repetitive processes/2D linear systems known as stability along the pass (or trial). The resulting design computations are in terms of Linear Matrix Inequalities (LMIs) and they are also experimentally validated on a gantry robot. The control laws only use plant output information and hence the use of a state observer is avoided.

关键词： Signal design control systems Convergence Stability Linear matrix inequalities Linear systems Symmetric matrices Robot control Manipulators Chemical processes

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Skid to turn control of the APKWS missile using trajectory linearization technique

Skid to turn control of the APKWS missile using trajectory l...

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American control Conference (ACC)

作者： M.C. Mickle J.J. Zhu Guidance Navigationa and Control Department Ratheon Missile Systems USA School of Electrical Engineering and Computer Science Ohio University USA

This paper presents the design and simulation results of an autopilot for the US Army's APKWS missile. The concept is to add on a guidance section to the existing Hydra 70 unguided rocket airframe. The guidance section is to be mounted onto existing hardware using a deroll bearing which permits the motor to roll freely while the guidance section is roll stabilized. The Hydra 70 has unusual dynamic and aerodynamic characteristics, which include a very large intentional induced roll moment which is heavily influenced by down wash effects on the rear spin inducing fins from large aerodynamic angles and the displacement of the control canards. Moreover, angle of attack tracking with control canards makes the problem nonminimum phase. The autopilot consists of a nonlinear inverse subsection which places the missile on the nominal commanded trajectory, and a linear time varying trajectory regulating controller. The regulating controller is formulated using a new parallel differential eigenvalue stability concept. An advantage of the proposed design method is that the controller gains are computed symbolically such that a full flight envelope autopilot can be designed without resorting to pointwise gain scheduling. Simulation results are shown to demonstrate the effectiveness of the trajectory linearization control technique.

关键词： Missiles Aerodynamics Rockets Hardware Displacement control Eigenvalues and eigenfunctions Stability Design methodology Processor scheduling Computational modeling

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Iterative learning control for discrete time systems using optimal feedback and feedforward actions

Iterative learning control for discrete time systems using o...

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IEEE Conference on Decision and control

作者： N. Amann D.H. Owens E. Rogers Centre for Systems and Control Engineering University of Exeter Exeter UK Department of Electronics and Computer Science University of Southampton Southampton UK

An algorithm for iterative learning control is proposed based on an optimization principle used by other authors to derive gradient type algorithms. The new algorithm is a descent algorithm and has potential benefits which include realization in terms of Riccati feedback and feed-forward components. This realization also has the advantage of implicitly ensuring automatic step size selection and hence guaranteeing convergence without the need for empirical choice of parameters. The algorithm achieves a geometric rate of convergence for invertible plants which can be arbitrarily changed by design parameters.

关键词： Optimal control control systems Discrete time systems Iterative algorithms Convergence Automatic control Riccati equations Feedback Feedforward systems Algorithm design and analysis

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Newton-Euler Modeling of Robot Dynamics Using Geometric Algebra

Newton-Euler Modeling of Robot Dynamics Using Geometric Alge...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

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

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

In this work, we present the modeling of the dynamics of a robot manipulator using the Newton-Euler algorithm in the conformal algebra framework. The modeling of the dynamics of robot manipulators is currently done using the Euler-Lagrange formulation which is a batch type of computation. In contrast, in this paper, we propose a recursive algorithm for the modeling of the dynamics of robot manipulators using the Newton-Euler algorithm in the conformal geometric algebra framework.

关键词： Algebra Heuristic algorithms Computational modeling Optimal control Motors Real-time systems Mathematical models

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Real-time control of reactive ion etching: identification and disturbance rejection

Real-time control of reactive ion etching: identification an...

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IEEE Conference on Decision and control

作者： B.A. Rashap P.P. Khargonekar J.W. Grizzle M.E. Elta J.S. Freudenberg F.L. Terry Electronics Manufacturing and Control Systems Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA

The main processes involved in the manufacture of integrated circuits are deposition, lithography, etching, and implantation. This paper describes results on identification and real-time control of reactive ion etchers. Experimental results show that significant disturbances to the etch rate can be attenuated with real-time feedback control.< >

关键词： Etching Feedback control Plasma applications Manufacturing processes Laboratories Pressure control Weight control Open loop systems PD control Pi control

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