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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121-130 订阅

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On the attainability of an estimate of a number of Perron exponents for discrete linear diagonal systems with bounded coefficients 20

On the attainability of an estimate of a number of Perron ex...

引用

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

作者： Konyukh, Alexander Niezabitowski, Michal Belarus State Econ Univ Partyzanski Praspiekt 26 Minsk 220070 BELARUS Silesian Tech Univ Fac Automat Control Elect & Comp Sci PL-44100 Gliwice Poland

ISBN: (纸本)9781479987016

the Lyapunov, Perron and Bohl exponents are the most important numerical characteristics of dynamic systems used in control theory. Properties of the first one are well investigated. Properties of the Perron and Bohl exponents are much less described in the literature, for example the questions about the structure of the sets of values of these quantities for general discrete-time systems are still open. In this paper we give an example of a two-dimensional system with bounded coefficients that have three different Perron exponents. In addition, we prove that the s-dimensional diagonal discrete-time system with bounded coefficients can have any number of different Perron exponents between 1 and 2(s) - 1.

关键词： Perron exponent Lyapunov exponent diagonal discrete time-varying systems

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An Experimental Framework for Evaluation of Facial Feature Extraction methods

An Experimental Framework for Evaluation of Facial Feature E...

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

作者： Song, Fengxi Guo, Zhongwei Chen, Qinglong New Star Res Inst Appl Tech Hefei City Dept Automat & Simulat Hefei Peoples R China

ISBN: (纸本)9781467318723;9781467318716

Facial feature extraction is one of the hottest research topics in pattern recognition. Scholars have proposed numerous facial feature extraction methods based on various discriminant criteria, models, and algorithms. Each method has its own advantages and shortcomings. Unfortunately, till now there is no sound theoretical framework to evaluate their total performance. People have to resort to their experimental results. Since recognition accuracies and computational times of a particular facial feature extraction method in a certain simulation experiment are heavily depend on many factors such as, face image database, number of training samples per class, type of cross-validation, classifier, and parameter of the classifier used in the experiment. thus, experimental design pays a key role in evaluation of their performance. In this paper we propose an experimental framework which can be used as a platform for a relatively fair comparison among facial feature extraction methods.

关键词： experimental framework feature extraction face recognition

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Method for Road Occlusions Handling in Generic Sensor models 25

Method for Road Occlusions Handling in Generic Sensor Models

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25th international conference on methods and models in automation and robotics

作者： Jasiriski, Michal AGH Univ Sci & Technol Dept Automat & Biomed Engn Al A Mickiewicza 30 PL-30059 Krakow Poland APTIV Serv Poland SA Ul Podgorki Tynieckie 2 PL-30399 Krakow Poland

ISBN: (纸本)9781728173818;9781728173801

Due to the increasing complexity of Advanced Safety systems, a strong endeavor is required to acquire realistic and real-time capable simulations, in order to enable robust and easily reproducible system verification in virtual environments. To make simulations reliable, high-fidelity sensor models are required. One of the approaches is to implement a generic sensor model that explicitly emulates the output of an object detection algorithm, based on high-level simulation data. However, such a model has to accurately handle object-based occlusions, to assure that shadowed objects are not detected. Various generic sensor models available in the literature already solve the problem of how to estimate occlusions, given a set of objects. Nevertheless, none of the models takes into account a road profile, i.e. hills. the method proposed in this paper provides an accurate and easy to implement road profile estimation using a set of bounding boxes. thanks to the generated structures, a road-based shadowing can be enabled in any of the object-based generic sensor models. the obtained results clearly show the robustness and usefulness of the proposed methodology.

关键词： sensor models simulation virtual validation occlusions estimation

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Day-Ahead Forecasting for the Tropics with Numerical Weather Prediction and Machine Learning 17

Day-Ahead Forecasting for the Tropics with Numerical Weather...

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17th international conference on Control, automation, robotics and Vision (ICARCV)

作者： Ng, Nigel Yuan Yun Gopalan, Harish Raghavan, Venugopalan S. G. Ooi, Chin Chun Natl Univ Singapore Dept Phys Singapore Singapore Inst High Performance Comp Dept Fluid Dynam Singapore Singapore Ctr Frontier AI Res Singapore Singapore

ISBN: (纸本)9781665476874

Numerical weather prediction (NWP) and machine learning (ML) methods are popular for weather forecasting. However, NWP models have multiple possible physical parameterizations, which requires site-specific NWP optimization. this is further complicated when regional NWP models are used with global climate models, each with multiple possible parameterizations. In this study, a hybrid numerical-statistical approach is proposed and evaluated for four radiation models. Weather Research and Forecasting (WRF) model is run in both global and regional mode to provide an estimate for solar irradiance. this estimate is then post-processed using ML to provide a final prediction. Normalized root-mean-square error from WRF is reduced by up to 40-50% with this ML error correction model. Results obtained using CAM, GFDL, New Goddard and RRTMG radiation models were comparable after this correction, negating the need for WRF parameterization tuning. Other models incorporating nearby locations and an ensemble set-up are also evaluated, although they produced much smaller improvements.

关键词： Solar forecasting Numerical weather prediction Machine learning Regression methods Radiation schemes

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Shape Optimization problem for the coupled model of linear elasticity with Navier-Stokes equation 19

Shape Optimization problem for the coupled model of linear e...

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

作者： Lasiecka, Irena Szulc, Katarzyna Zochowski, Antoni Polish Acad Sci Syst Res Inst PL-01447 Warsaw Poland

ISBN: (纸本)9781479950812

We consider a coupled model of linear elasticity with Navier-Stokes equations. Two subdomains Omega(1) and Omega(2) are considered. In Omega(1) there is a linear elasticity model. In Omega(2) there is the fluid transport which is modeled by nonlinear Navier-Stokes equations. A propitiate interface conditions should be provided. We want to determine the shape and topological derivatives in Omega(2).

关键词： Coupled Problems Linear elasticity Navier-Stokes equation Topological Derivative Shape Optimization Numerical methods

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Model Assisted Distributed Root Cause Analysis 26

Model Assisted Distributed Root Cause Analysis

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26th IEEE international conference on Emerging Technologies and Factory automation, ETFA 2021

作者： Mayrhofer, Michael Mayr-Dorn, Christoph Guiza, Ouijdane Egyed, Alexander Cognitive Robotics And Shopfloors Pro2Future GmbH Linz Austria Institute Of Software Systems Engineering Johannes Kepler University Linz Austria

ISBN: (纸本)9781728129891

Cyber-physical production systems are composed of a multitude of subsystems from diverse vendors and integrators, connected in a distributed fashion. An undesirable phenomenon in one system might cause a misbehavior in another connected system. Searching for the root cause of this misbehavior quickly becomes very tedious as many possible search directions exist. this paper proposes an approach and algorithm to tie together information available in design-time and runtime models. this then allows, in conjunction with observed and desired status of a system, to recommend search options and concrete solution steps to guide workers along the fixing process without being overwhelmed by the complexity of the overall system of systems. We demonstrate the feasibility of our approach using a lab-scal production cell model. © 2021 IEEE.

关键词： Cyber Physical System

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On Assignment of the Upper Bohl Exponent for Linear Discrete-Time Systems in Infinite-Dimensional Spaces 25

On Assignment of the Upper Bohl Exponent for Linear Discrete...

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25th international conference on methods and models in automation and robotics

作者： Makarov, Evgenii Niezabitowski, Michal Popova, Svetlana Zaitsev, Vasilii Zhuravleva, Marina Natl Acad Sci Belarus Inst Math Minsk 220072 BELARUS Silesian Tech Univ Fac Automat Control Elect & Comp Sci PL-44100 Gliwice Poland Udmurt State Univ Izhevsk 426034 Russia

ISBN: (纸本)9781728173818;9781728173801

In this paper we study linear discrete-time control systems in infinite-dimensional spaces with periodically time-varying bounded input and output operators. For such systems we consider a problem of arbitrary assignability of the upper Bohl exponent by non-stationary linear static state feedback and by non-stationary linear dynamic output feedback. this is a generalization of the stabilization problem, which has been well studied for systems of various types. the main results present sufficient conditions for considered types of assignability.

关键词： Discrete-time systems Sufficient conditions State feedback automation Aerospace electronics Control systems Time-varying systems

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Stratified model identification

Stratified model identification

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

作者： Ogonowski, Zbigniew Silesian Tech Univ Inst Automat Control Gliwice Poland

ISBN: (纸本)9781467321242

Structure choice and identification of stratified models' parameters are presented in this paper. Stratification is suggested to base on the environmental structure of the plant. Algorithm of Generalized Back Propagation through Time is applied as the identification method. Vertical hot water tank serves as the illustration of application to single dimensional case. methods of generalization on three dimensional case are suggested.

关键词： model identification ILLUSTRATIONS Generalization model parameters base on back propagation water-tanks Identification methods hot water

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Adaptive Control of Nonlinear Resonant Systems with Damping 20

Adaptive Control of Nonlinear Resonant Systems with Damping

引用

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

作者： Kabzinski, Jacek Mosiolek, Przemyslaw Lodz Univ Technol Inst Automat Control Lodz Poland

ISBN: (纸本)9781479987016

the paper describes a nonlinear controller design technique for a servo drive in the presence of: 1) nonlinear friction (or any other load torque), 2) a flexible shaft that connects the motor and the load. the shaft is characterized by the stiffness and the damping coefficients. the proposed controller is based on adaptive backstepping, modified by the use of command filtering. Although in the presence of damping the model is not in a strict-feedback form, the proposed approach allows to accomplish the rigorous proof of the closed-loop system stability. Several experiments prove the control effectiveness and robustness against un-modelled dynamics.

关键词： adaptive control resonant systems friction compensation drive automation

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Remote Monitoring and Control of Mobile Robots in Real-Time Using Multimodal Digital Twins 28

Remote Monitoring and Control of Mobile Robots in Real-Time ...

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28th international conference on methods and models in automation and robotics (MMAR)

作者： La, Trung Kien Harmann, Rene Kaigom, Eric Guiffo Frankfurt Univ Appl Sci Dept Comp Sci & Engn Frankfurt Germany

ISBN: (纸本)9798350362350;9798350362343

Although digital twins have been playing a pivotal role in the management of the lifecycle of physical robotic systems of systems, they have hardly been employed to actively guide mobile robots in real-time. In fact, the guidance of such systems requires functionalities, including the perception of environmental constraints and avoidance of collisions. A spatial information stream beyond the internal robot state measured using proprioceptive sensors is therefore needed. Exteroceptive sensors help meet this demand. Nevertheless, such sensors have received little attention thus far in the development of digital twins. On the other hand, various mobility objectives, such as reverse motions, might require the awareness of the historical internal state of the distant robot. For instance, the current energy budget is likely to constrain the reachability of the initial robot location, even when spatially and kinematically feasible. We therefore develop a web-based framework to monitor and actively steer mobile robots while leveraging on multimodal digital twins. We collect data about the internal state and camera-captured neighborhood of the robot in real-time. the robot operator is thereby provided with an enriched digital model of the internal dynamics and environmental perception of the robot. this elevates situational awareness and facilitates decision support. We then develop a versatile graphical interface that helps holistically monitor and actively steer the mobile robot. Since the multi-modal and bidirectional approach is intuitive and device-agnostic, even novices can remotely guide the robot on mobile phones from everywhere. We show the usefulness and effectiveness of our approach in use-case scenarios in practice.

关键词： robotics Multimodal Digital Twins Industry 4.0 Industry 5.0 Society 5.0 Human-Mobile Robot-Interaction

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