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检索条件"任意字段=25th International Conference on Methods and Models in Automation and Robotics"

共 1217 条记录，以下是181-190 订阅

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An unscented Kalman filter approach to designing GMDH neural networks: Application to the tunnel furnace

An unscented Kalman filter approach to designing GMDH neural...

引用

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

作者： Luzar, Marcel Mrugalski, Marcin Witczak, Marcin Korbicz, Jozef Univ Zielona Gora Inst Control & Computat Engn PL-65246 Zielona Gora Poland

ISBN: (纸本)9781457709142

this paper presents an identification method of dynamic systems based on the Group Method of Data Handing. In particular, a new structure of the dynamic neuron in pole representation is proposed. Moreover, a new training algorithm based on the Unscented Kalman Filter is presented. the final part of this work contains an illustrative example regarding the application of the proposed approach to an identification of the tunnel furnace.

关键词： Kalman filters Dynamic systems Identification methods Neural network Kalman filter theory

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the Quality Interaction Function Deployment for lean Human-Robot Interaction 24

The Quality Interaction Function Deployment for lean Human-R...

引用

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

作者： Bonini, Marco Urru, Augusto Echelmeyer, Wolfgang Reutlingen Univ ESB Logist Res Ctr Reutlingen Germany

ISBN: (纸本)9781728109336

In standardized sectors such as the automotive, the cost-benefit ratio of automation solutions is high as they contribute to increase capacity, decrease costs and improve product quality. In less standardized application fields, the contribution of automation to improvements in capacity, cost and quality blurs. the automation of complex and unstructured tasks requires sophisticated, expensive and low-performing systems, whose impact on product quality is oftentimes not directly perceived by customers. As a result, the full automation of process chains in the general manufacturing or the logistic sectors is often a sub-optimal solution. Taking the distance from the false idea that a process should be either fully automated, or fully manual, this paper presents a novel heuristic method for design of lean human-robot interaction, the Quality Interaction Function Deployment, with the objective of the "right level of automation". Functions are divided among human and automated agents and several automation scenarios are created and evaluated with respect to their compliance to the requirements of all process' stakeholders. As a result, synergies among operators (manual tasks) and machines (automated tasks) are improved, thus reducing time losses and increasing productivity.

关键词： Process Design HRI lean automation QFD

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Approximate State-Space Model Predictive Control 20

Approximate State-Space Model Predictive Control

引用

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

作者： Lawrynczuk, Maciej Warsaw Univ Technol Inst Control & Computat Engn Ul Nowowiejska 15-19 PL-00665 Warsaw Poland

ISBN: (纸本)9781479987016

this paper is concerned with a Model Predictive Control (MPC) algorithm for dynamic systems described by nonlinear state-space models. A unique feature of the algorithm is the fact that the current value of the manipulated variable (i.e. the decision variable of MPC) is not calculated from an optimisation problem, but from an analytical linear control law. the coefficients of the control law, due to a nonlinear nature of the process, are time-varying. they are found on-line by an approximator (a neural network is used for this purpose). the approximator is trained off-line in such a way that the resulting MPC algorithm mimics the suboptimal MPC technique with on-line model linearisation. thanks to such an approach, successive on-line model linearisation is not successively performed and some other calculations are not necessary. For a polymerisation reactor off-line training of the approximator is described and the approximate algorithm is compared with the classical MPC algorithms with on-line model linearisation.

关键词： Maximum Allowable Concentration on-line model control law Predictive control POLYMERISATION REACTOR manipulated variable State space models State-space methods Dynamic systems models, Space Approximate OFF LINE algorithms

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Using Laplace Transform To Optimize the Hallucination of Generation models 18

Using Laplace Transform To Optimize the Hallucination of Gen...

引用

18th international conference on Control automation robotics and Vision

作者： Kang, Cheng Chen, Xinye Novak, Daniel Yao, Xujing Czech Tech Univ Dept Cybernet Prague 16000 6 Czech Republic Charles Univ Prague Dept Numer Math Prague 11000 1 Czech Republic Nanjing Tech Univ Coll Comp & Informat Engn Nanjing 211816 Jiangsu Peoples R China

ISBN: (纸本)9798331518509;9798331518493

To explore the feasibility of avoiding the confident error (or hallucination) of generation models (GMs), we formalise the system of GMs as a class of stochastic dynamical systems through the lens of control theory. Numerous factors can be attributed to the hallucination of the learning process of GMs, utilising knowledge of control theory allows us to analyze their system functions and system responses. Due to the high complexity of GMs when using various optimization methods, we cannot figure out their solution of Laplace transform, but from a macroscopic perspective, simulating the source response provides a virtual way to address the hallucination of GMs. We also find that the training progress is consistent with the corresponding system response, which offers us a useful way to develop a better optimization component. Finally, the hallucination problem of GMs is fundamentally optimized by using Laplace transform analysis.

关键词： Stochastic systems

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Frequency weighted model reduction in approximation of nabla difference-based discrete-time fractional-order systems 26

Frequency weighted model reduction in approximation of nabla...

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26th international conference on methods and models in automation and robotics

作者： Stanislawski, Rafal Rydel, Marek Bialic, Grzegorz Opole Univ Technol Dept Elect Control & Comp Engn Ul Proszkowska 76 PL-45758 Opole Poland

ISBN: (数字)9781665468589

ISBN: (纸本)9781665468596;9781665468589

the article presents new results in terms of Frequency Weighted (FW) model reduction method in application to approximate LTI discrete-time non-commensurate fractional-order systems based on the Grunwald-Letnikov nabla fractional-order difference. the method applies the Fourier-based decomposition of the system and the FW model order reduction method. the main advantage of the proposed modeling approach is the specific representation of the fractional-order system enabling a simple, analytical formula for the determination of the Gramians. this significantly improves the computational efficiency of the proposed FW reduction method. the simulation experiments confirm the low computational effort of the introduced processing and its high modeling accuracy

关键词： Linear systems automation Finite impulse response filters Computational modeling Systems modeling Controllability Reduced order systems

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Dynamic Singularities in Nonlinear Control of Underactuated Pendulum-like models 19

Dynamic Singularities in Nonlinear Control of Underactuated ...

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

作者： Lukomski, Adam Wojciech West Pomeranian Univ Technol Dept Control & Measurements PL-70310 Szczecin Poland

ISBN: (纸本)9781479950812

the paper presents an analysis of dynamic singularities in n-link pendulum-like models that are controlled using input-output feedback linearisation. the dynamic singularities are caused by the decoupling matrix being singular for particular configurations. the examples include 3-link planar pendulum, 3-link 3D pendulum and a simplified humanoid-like robot model. Partial stabilisation results are presented for specific physical parameters.

关键词： feedback humanoid robots linearisation techniques manipulators nonlinear control systems pendulums stability 3-link 3D pendulum 3-link planar pendulum decoupling matrix dynamic singularities humanoid-like robot model input-output feedback linearisation n-link pendulum-like models nonlinear control partial stabilisation underactuated pendulum-like models Knee Mathematical model Numerical models Robots Solid modeling three-dimensional displays Transmission line matrix methods transmission line matrix methods nonlinear control Clock weights three-dimensional displays linearization techniques entity modeling Humanoid robots Nonlinear control systems Robot Manipulators numerical models Feedback Mathematical Model knee Singularity

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Improved Fractional Kalman Filter for Variable Order Systems with lossy and delayed network 19

Improved Fractional Kalman Filter for Variable Order Systems...

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

作者： Ziubinski, Pawel Sierociuk, Dominik Warsaw Univ Technol Inst Control & Ind Elect Koszykowa 75 Warsaw Poland

ISBN: (纸本)9781479950812

this paper presents generalization on the Improved Fractional Kalman Filter (ExFKF) for estimation over lossy network with packets delay. this generalization is based on the infinite dimensional form of a linear discrete fractional variable order state-space system and measurements equation augmentation. Some simulation cases are given in order to demonstrate the effectiveness of the proposed algorithms, with improvements in terms of estimation and smoothing results.

关键词： Kalman filters delays discrete systems linear systems state-space methods ExFKF delayed network fractional Kalman filter linear discrete fractional variable order state-space system lossy network measurements equation augmentation packet delay variable order systems Equations Estimation Loss measurement Noise Signal processing algorithms Vectors Kalman filters State-space methods loss measurement Signal processing algorithms Discrete systems Linear system Noise variable order delay

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Path Following Control Algorithm for Planar Holonomic N-Link Manipulators Using Non-Singular Path Parametrization 19

Path Following Control Algorithm for Planar Holonomic N-Link...

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

作者： Plaskonka, Joanna Wroclaw Univ Technol Chair Cybernet & Robot PL-50370 Wroclaw Poland

ISBN: (纸本)9781479950812

In the paper a description of a planar holonomic N-link manipulator relative to a path is presented. the path parametrization method is based on a non-orthogonal projection of the robot on the path and the Serret-Frenet frame moving along a curve. the new control algorithm for N-link manipulators is proposed. the effectiveness of the algorithm for a planar three-link manipulator is examined by computer simulations.

关键词： manipulators path planning Serret-Frenet frame computer simulations nonorthogonal projection nonsingular path parametrization path following control algorithm planar holonomic N-link manipulator planar three-link manipulator Equations Manipulator dynamics Mathematical model Robot kinematics Transmission line matrix methods transmission line matrix methods Manipulators manipulator dynamics Robot kinematics Computer Simulation Path planning Mathematical Model Byways Computer algorithms holonomic

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Mathematical models and Control methods of Infectious Diseases 5

Mathematical Models and Control Methods of Infectious Diseas...

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5th international conference on automation, Control and robotics Engineering, CACRE 2020

作者： Yang, Yiwen Zhang, Hanrui Business School of Hohai University Hohai University Changzhou China

ISBN: (纸本)9781728198880

In this paper, the application of mathematical models in infectious disease research is reviewed. this paper mainly introduces SIR infectious disease model, SIRS infectious disease model and some methods of infectious disease control based on model. An SIR model based on the 'compartment' model and a SIRS model with standard incidence, vertical infection, continuous inoculation and treatment were established and analyzed. In this paper, the evolution of infectious diseases is illustrated and the effects of different strategies on the control of infectious diseases are compared. © 2020 IEEE.

关键词： Disease control

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A Review on Short-Term Electricity Price Forecasting Techniques for Energy Markets 15

A Review on Short-Term Electricity Price Forecasting Techniq...

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15th international conference on Control, automation, robotics and Vision (ICARCV)

作者： Jiang, LianLian Hu, Guoqiang ASTAR Inst Infocomm Res Singapore 138632 Singapore Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

ISBN: (纸本)9781538695821

the electricity price forecasting (EPF) is essential for decision-making mechanisms of market participants to survive in the deregulated and competing commercial environment. Due to special features of the electricity such as seasonality, the constant balance between production and consumption required by the system, and environmental dependencies, electricity prices generally shows extreme volatility and price spikes with the heteroscedasticity. this paper provides a survey of main EPF methodologies and the ultimate goal of this survey is to provide readers insights and guidelines for choosing different EPF techniques for day-ahead electricity markets. For each type of method, we briefly introduce its principle and then describe how it is applied in EPF. Many new EPF techniques developed recently are also discussed, especially the artificial intelligence forecasting methods. the pros and cons of each type of method are provided in a final table so that users can pay attention to when choosing them. In the final section, several promising methods and potential directions for further exploration are presented.

关键词： Electricity price forecasting (EPF) deep learning artificial intelligence energy market time series models

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