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IEEE International Conference on systems, Man, and Cybernetics (SMC)

作者： Xu, Kang-Kang Li, Han-Xiong Cent South Univ Coll Mech & Elect Engn Changsha Hunan Peoples R China City Univ Hong Kong Syst Engn & Engn Management Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781538616451

The temperature distribution in the curing oven is a typical distributed parameter system (DPS). Modeling of this kind of system is very difficult as only few sensors are available inside. Besides, thermal behaviors of the oven are time-varying in the directions of space and time. In this paper, an adaptive spatiotemporal modeling method is designed for the curing thermal process. Time-varying spatial basis functions are first obtained under adaptive time/space separation. An online sequential extreme learning machine (OS-ELM) is further developed for online modeling of the time-varying dynamics in time direction. Finally, the temperature distribution of the oven can be estimated by the adaptive spatiotemporal model. Simulation results demonstrate the superior of the proposed modeling method.

关键词： curing oven distributed parameter system online sequential extreme learning machine

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Vibration Control for Flexible mechanical systems with Bounded Input

Vibration Control for Flexible mechanical Systems with Bound...

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Chinese Automation Congress (CAC)

作者： Deng, Xiaoyan Zhang, Guangtao Chen, An Zhao, Zhijia Fu, Zhiping Zheng, Lunan Liu, Haiming South China Univ Technol Sch Sci & Engn Guangzhou 510640 Guangdong Peoples R China Guangzhou Univ Sch Mech & Elect Engn Guangzhou 510006 Guangdong Peoples R China

ISBN: (纸本)9781538635247

The aim of this paper is to develop a boundary control for attenuating the vibration of a flexible beam and string system in the presence of input restriction. To this end, a boundary control is developed to attenuate the vibration and mitigate the effect of the restricted input employing smooth hyperbolic tangent function. Under the proposed control, the stability of the controlled system is achieved through rigorous analysis without resorting to discretization of the system infinite dimensional model, and the controlled system is ensured to be asymptotically stable. Finally, the simulations verify the results.

关键词： distributed parameter system boundary control input saturation semigroup theory

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On design of interval observers for parabolic PDEs

On design of interval observers for parabolic PDEs

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20th World Congress of the International-Federation-of-Automatic-Control (IFAC)

作者： Kharkovskaia, Tatiana Efimov, Denis Fridman, Emilia Polyakov, Andrey Richard, Jean-Pierre INRIA Non A Team Parc Sci Haute Borne 40 Av Halley F-59650 Villeneuve Dascq France Ecole Cent Lille CRIStAL UMR CNRS 9189 BP 48Cite Sci F-59651 Villeneuve Dascq France ITMO Univ Dept Control Syst & Informat 49 Kronverkskiy Av St Petersburg 197101 Russia Tel Aviv Univ Sch Elect Engn IL-69978 Tel Aviv Israel

The problem of state estimation for heat non-homogeneous equations under distributed in space measurements is considered. An interval observer is designed, described by Partial Differential Equations (PDEs), for uncertain distributed parameter systems without application of finite-element approximations. Conditions of boundedness of solutions of interval observer with non-zero boundary conditions and measurement noise are proposed. The results are illustrated by numerical experiments with an academic example. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Interval observers Heat equation distributed parameter system

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Neural Network based Model Predictive Control of Spatially Cellular Uptake in Tissue Engineering 36

Neural Network based Model Predictive Control of Spatially C...

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第36届中国控制会议

作者： WANG Mengling Yan Huaicheng SHI Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781538629185

In this paper,a neural network based model predictive control（MPC） strategy is proposed to for the cellular uptake（as a function of space and time） of a ***,a time/space separation method is used to transform the high-dimensional spatiotemporal data into low-dimensional temporal ***,the MPC strategy is posed using the identified temporal radial basis function neural network *** the solution of NN-based MPC is obtained by a golden section method that can shorten the solution time of the optimization *** accuracy and effectiveness of this approach are demonstrated on an example motivated by tissue engineering.

关键词： Cellular uptake rate distributed parameter system model predictive control neural network

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Quantification and Compensation of systematic Errors in Pressure Measurements Applied to Oil Pipelines 2

Quantification and Compensation of Systematic Errors in Pres...

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2nd International Conference on system Reliability and Safety (ICSRS)

作者： Thiele, Gregor Liu, Martin Chemnitz, Moritz Krueger, Joerg Fraunhofer IPK Dept Proc Automat & Robot Berlin Germany PSI AG Berlin Germany

ISBN: (纸本)9781538633229

The monitoring of pipeline operation is an important research topic, especially for the detection and localization of leaks as well as for an efficient control. For these purposes, physical quantities in pipelines are calculated from measurement data on the basis of a mathematical model. In contrast to static models, adaptive models vary their parameters or even their structure to reach the most probable solution. But in most cases, even the best fit will hold residuals caused by discrepancies between the real system and its model. These residuals allow an estimation of travel-time delays of pressure waves and offsets in pressure values. The basic idea of our approach is to interpret these systematic, time-invariant errors of pressure measurements in pipelines either as sensor displacements or as technical defects. The proposed procedure leads to a hypothesis for a model update, regarding the sensor positions. This displacement compensation as well as a variance analysis was successfully applied to real data from a crude oil pipeline in Europe. A cross validation proves the general capability of the developed method to reduce the uncertainties.

关键词： system identification systematic errors measurement technology oil pipeline distributed parameter system state estimation

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Sliding Mode Control Design for Linear Evolution Equations with Uncertain Measurements and Exogenous Perturbations

Sliding Mode Control Design for Linear Evolution Equations w...

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20th World Congress of the International-Federation-of-Automatic-Control (IFAC)

作者： Zhuk, Sergiy Polyakov, Andrey Nakonechnyi, Olexander IBM Res Dublin Ireland Inria Lille Nord Europe Villeneuve Dascq France Taros Shevchenko Natl Univ Kiev Ukraine

The paper studies the problem of sliding mode control design for linear evolution equations with incomplete and noisy measurements of the output and additive exogenous disturbances. The key result of the paper is an algorithm, generating an output-based feedback, which steers the state as close as possible to a given sliding hyperplane in a finite time. The optimality of the designed feedbacks is proven. The efficacy of the proposed algorithm is illustrated by a numerical example. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Robust Control Sliding Mode Control distributed parameter system

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On design of interval observers for parabolic PDEs

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IFAC-PapersOnLine 2017年第1期50卷 4045-4050页

作者： Kharkovskaia T. Efimov D. Fridman E. Polyakov A. Richard J.-P. Inria Non-A team Parc Scientifique de la Haute Borne 40 av. Halley Villeneuve d'Ascq 59650 France CRIStAL (UMR-CNRS 9189) Ecole Centrale de Lille BP 48 Cité Scientifique Villeneuve-d'Ascq 59651 France Department of Control Systems and Informatics ITMO University 49 Kronverkskiy av. Saint Petersburg 197101 Russian Federation School of Electrical Engineering Tel-Aviv University Tel-Aviv 69978 Israel

关键词： distributed parameter system Heat equation Interval observers

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Source Estimation for the Damped Wave Equation Using Modulating Functions Method: Application to the Estimation of the Cerebral Blood Flow

Source Estimation for the Damped Wave Equation Using Modulat...

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20th World Congress of the International-Federation-of-Automatic-Control (IFAC)

作者： Asiri, Sharefa Laleg-Kirati, Taous-Meriem KAUST Comp Elect & Math Sci & Engn Div CEMSE Thuwal 239556900 Saudi Arabia

In this paper, a method based on modulating functions is proposed to estimate the Cerebral Blood Flow (CBF). The problem is written in an input estimation problem for a damped wave equation which is used to model the spatiotemporal variations of blood mass density. The method is described and its performance is assessed through some numerical simulations. The robustness of the method in presence of noise is also studied. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Source Estimation distributed parameter system Damped Wave Equation Biomedical system Modulating Functions Method Robust Estimation

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Time/Space Separation Based KL-MKELM Modeling for Nonlinear distributed parameter Processes

Time/Space Separation Based KL-MKELM Modeling for Nonlinear ...

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Chinese Automation Congress (CAC)

作者： Peng, Chang Yao, Yao Jiangsu Automat Res Inst Lianyungang 222000 Peoples R China

ISBN: (纸本)9781538635247

In this paper, because of infinite-dimensional feature and complex nonlinearities of the distributed parameter systems, a new data-driven modeling method has been proposed. The temporal-spatial output of the system is measured at a finite number of spatial locations. At the same time it is assumed that the input of the system is a temporal variable. Firstly, Karhunen-Loeve(KL) decomposition is used for dimension reduction to get KL eigenvectors, which can he utilized to extract the nonlinear basis functions in dominant space. After using temporal-spatial separation to get the temporal coefficients, then combine with the temporal coefficients and the excitation input signal as input and output information, the NARX model can be identified by using multi-scale wavelet kernel extreme learning machine(MKELM). Finally, reconstruct model and get the predicted output. Simulation result shows that the proposed modeling method can achieve good performance for distributed parameter systems.

关键词： distributed parameter system time/space separation multi-scale wavelet kernel extreme learning machine NARX model

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Finite Element Modeling and Motion Planning of an Adaptive Elastic Wingsail

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IFAC-PapersOnLine 2017年第1期50卷 6768-6773页

作者： Kater A. Wriedt J.-P. Meurer T. Chair of Automatic Control Faculty of Engineering Kiel University Kiel 24143 Germany

A systematic motion planning methodology for elastomechanic structures is introduced using a combination of flatness based feedforward control and state feedback control. The concept is applied to a so-called wingsail for yachts, this structure can be described as a complex flexible structure based on two curved carbon sail areas with embedded actuators allowing to generate deflections to accomplish an adaptive sail structure. Due to the complexity of the structure the finite element method (FEM) is applied to determine the equations of motion (EOMs) in terms of a high dimensional system of ordinary differential equations (ODEs). The usage of model order reduction by means of modal truncation leads to a design system of feasible dimension and also directly represents a suitable form for the determination of the flatness-based state and input parametrization. This yields an efficient approach for motion planning and feedforward control, which is amended by a state feedback controller to address model uncertainties or disturbances. Simulation results illustrate the performance of the presented two-degrees-of-freedom control approach. © 2017

关键词： adaptive structure distributed parameter system feedforward control finite element method motion planning Smart structures wingsail

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