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检索条件"任意字段=26th International Conference on Methods and Models in Automation and Robotics"

共 1175 条记录，以下是141-150 订阅

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Controllability conditions of rotating beams and a construction of an optimal control

Controllability conditions of rotating beams and a construct...

引用

17th international conference on methods and models in automation and robotics (MMAR)

作者： Sklyar, Grigory Wozniak, Jaroslaw Univ Szczecin Inst Math PL-70451 Szczecin Poland

We present our works concerning controllability problem for Timoshenko beams rotating in a horizontal plane. Characterization of the set of null-reachability is given, the optimal control problem is stated and a numer... 详细信息

ISBN: (纸本)9781467321242

关键词： Optimal control controllability Numerical methods rotating beam TIMOSHENKO BEAM BEAM Beams and girders horizontal plane

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Unsupervised 3D Primitive Shape Detection Using Mathematical models 16

Unsupervised 3D Primitive Shape Detection Using Mathematical...

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16th IEEE international conference on Control, automation, robotics and Vision (ICARCV)

作者： Ping, Guiju Esfahani, Mahdi Abolfazli Wang, Han Nanyang Technol Univ Singapore Singapore

ISBN: (纸本)9781728177090

this study aims to propose the first unsupervised deep learning based framework to detect primitive shapes in unorganized point clouds. the benefits of the proposed model are as follows: first, modeling primitive shapes mathematically and making the annotation and generation of training data automatically can assist in training a network in an unsupervised manner without using any pre-annotated datasets. the proposed approach is able to expand to other 3D point clouds related tasks when the datasets are not big enough. Experiments and results demonstrate that the proposed unsupervised methods can achieve an accuracy on par with supervised approach for primitive shape detection in 3d point clouds.

关键词： primitive shapes unsupervised point clouds machine learning

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Advanced methods of Controller Design for Pneumatic Servodrives 20

Advanced Methods of Controller Design for Pneumatic Servodri...

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20th international conference on methods and models in automation and robotics (MMAR)

作者： Ciganek, J. Kozak, S. Noge, F. Slovak Univ Technol Bratislava Fac Elect Engn & Informat Technol Bratislava Slovakia

ISBN: (纸本)9781479987016

A development of advanced control methods based on robustness, optimality and prediction is an important and challenging task. In recent years, a new control approaches have emerged to replace or augment conventional control engineering methods. the paper presents: design, verification and comparison of three advanced methods (IMC, MPC, PLM) applied in the control of dynamic processes with complex dynamics. In this paper three different methods were tested and applied to the position control of pneumatic servodrives. the presented and tested methods guarantee robust stability and high performance of the pneumatic servodrives control.

关键词： algebraic theory control system closed loop factorization filter IMC MPC pole-placement

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On the Connectivity Assumption of Non-Linear Flocking models

On the Connectivity Assumption of Non-Linear Flocking Models

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18th international conference on methods and models in automation and robotics (MMAR)

作者： Somarakis, Christoforos Baras, John S. Univ Maryland Syst Res Inst Dept Math Appl College Pk MD 20742 USA Univ Maryland Syst Res Inst ECE Dept College Pk MD 20742 USA

ISBN: (纸本)9781467355087;9781467355063

the problem of collective behavior of autonomous agents is discussed. Based on state dependent communication graphs we analyze a family of non-linear flocking models by establishing sufficient initial conditions so as connectivity and thus asymptotic flocking is ensured. We discuss models with non-linear uniformly bounded connection rates with and without delays.

关键词： Autonomous agents

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New Results on Robust Filtering Design for Continuous-Time Nonlinear Systems via T-S Fuzzy Affine Dynamic models

New Results on Robust Filtering Design for Continuous-Time N...

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12th international conference on Control, automation, robotics and Vision (ICARCV)

作者： Tian, Hui Qiu, Jianbin Gao, Huijun Lu, Qiugang Harbin Inst Technol Space Control & Inertial Technol Res Ctr Harbin 150001 Heilongjiang Pr Peoples R China

ISBN: (纸本)9781467318723;9781467318716

this paper is concerned with designing a fuzzy robust H-infinity filter for a class of continuous-time nonlinear systems via Takagi-Sugeno (T-S) fuzzy affine dynamic models based on piecewise Lyapunov functions. Attention is focused on the analysis and design of an admissible full-order filter such that the filtering error dynamics is stochastically stable and a prescribed H-infinity attenuation level is guaranteed. It is assumed that the plant premise variables are not measurable so that the filter implementation with state space partition may not be synchronous with the state trajectories of the plant. Based on piecewise quadratic Lyapunov functions (PQLFs) combined with S-procedure and some matrix inequality linearization techniques, some new results are established for filtering design of the underling continuous-time T-S fuzzy affine systems. An examples is given to illustrate the effectiveness and applicability of the proposed design methods.

关键词： T-S fuzzy affine systems Piecewise quadratic Lyapunov functions filtering design

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Neural Networks for a Dynamic Decoupling of a Nonlinear MIMO Dynamic Plant 20

Neural Networks for a Dynamic Decoupling of a Nonlinear MIMO...

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20th international conference on methods and models in automation and robotics (MMAR)

作者： Dworak, Pawel Jaroszewski, Krzysztof West Pomeranian Univ Technol Szczecin Chair Control Engn & Robot Szczecin Poland

ISBN: (纸本)9781479987016

In the paper a method of synthesis of a neural controller which goal is to reduce effects of coupling of the nonlinear multi-input multi-output (MIMO) plant inputs and outputs is presented. the designed neural controller contains a set of neural nets that determine values of parameters of linear decoupling controllers calculated for the adopted nonlinear plant model at its operating points. A known dynamic decoupling technique is used to generate training and evaluation data for the synthetized neural nets. the resulting neural (gain-scheduling) controller varies its parameters depending on the current plant operating point.

关键词： Neural network DECOUPLING Controllers plant models multiple input multiple output systems nonlinearity plants

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Action Recognition by Weighted Averaged Hidden Markov models 24

Action Recognition by Weighted Averaged Hidden Markov Models

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24th international conference on methods and models in automation and robotics (MMAR)

作者： Postawka, Aleksandra Sliwinski, Przemyslaw Wroclaw Univ Sci & Technol Dept Comp Engn Wroclaw Poland Wroclaw Univ Sci & Technol Dept Control Syst & Mechatron Wroclaw Poland

ISBN: (纸本)9781728109336

In the paper the problem of action recognition with the help of Markov models is considered. We propose an algorithm aiming at reduction of the false positive rate. We state a hypothesis that these errors are caused by learning gesture sequences representing rare movements and not that containing popular ones. Our algorithm translates the sequence of gestures into the corresponding Markov models which are used for a preliminary classification. the obtained evaluation coefficients (numbers of proper classifications) are then used to determine the best weights in a combined model composed of these models. In order to find a compromise between the number of true positives and the number of false positives, the power function of weights is examined.

关键词： Hidden Markov models Mathematical model Markov processes Sensors Biological system modeling Real-time systems Measurement uncertainty

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New method of fractional order integrator analog modeling for orders 0.5 and 0.25

New method of fractional order integrator analog modeling fo...

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16th international conference on methods and models in automation and robotics (MMAR)

作者： Sierociuk, Dominik Dzieinski, Andrzej Warsaw Univ Technol Inst Control & Ind Elect Warsaw Poland

ISBN: (纸本)9781457709142

In the paper a novel method of analog modeling of fractional order integrators is presented. In particular, two special cases are discussed, i.e. integrators of order alpha = 0.25, and alpha = 0.5. the method proposed is based on the domino ladder approximation of irrational transfer function. It allows to obtain an analog model using only electric elements like resistors and capacitors of standard produced values.

关键词： Analog models integrators fractional order new methods Resistor Device Component LADDER APPROXIMATION

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Comparison of Identification methods to Estimate LPV Output-Error models with Noisy Scheduling Variable 26

Comparison of Identification Methods to Estimate LPV Output-...

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2024 IEEE international conference on automation/26th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2024

作者： Padilla, Arturo Yuz, Juan I. Munoz, Carlos Garnier, Hugues Universidad de la Frontera Department of Mechanical Engineering Temuco Chile Universidad Técnica Federico Santa María Department of Electronic Engineering Valparaíso Chile Université de Lorraine Cnrs Cran Nancy France

ISBN: (纸本)9798350378115

In this work, the estimation of Linear ParameterVarying (LPV) models in Output-Error (OE) form is addressed. In particular, it is assumed that the scheduling variable is noisy, a condition often encountered in practice but not frequently considered in the literature. An instrumental variable based system identification method, recently proposed for continuoustime LPV models, is adapted to the discrete-time case. To deal with the noisy scheduling variable, it is assumed that its noisefree version is smooth, enabling us to estimate it using the local regression method. the proposed LPV model estimation approach is compared with other available methods, first through a discussion and afterwards through a numerical example. © 2024 IEEE.

关键词： Continuous time systems

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Identification of inertial model for oscillating system 19

Identification of inertial model for oscillating system

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19th international conference on methods and models in automation and robotics (MMAR)

作者： Kurek, J. Warsaw Univ Technol Inst Automat Control & Robot Warsaw Poland

ISBN: (纸本)9781479950812

there is presented a method for calculation of inertial model for an open-loop oscillating system based on the system step response. Presented method is simple and can be easily used in automatic control practice. Identified model can be applied in control algorithms more advanced than the PID controller, for instance in the predictive control.

关键词： nonlinear control systems open loop systems predictive control three-term control PID controller automatic control practice control algorithms inertial model identification open-loop oscillating system proportional-integral-derivative controller system step response Approximation methods Educational institutions Prediction algorithms Predictive control Predictive models Robots Transfer functions Predictive control Proportional Integral Derivative Control Open loop systems three term control systems Computer algorithms Prediction algorithms oscillatory system Nonlinear control systems Approximation method Educational institutions TRANSFER FUNCTIONS Prediction models Robot

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