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 o...
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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.
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...
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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.
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 uncer...
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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.
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 ...
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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.
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...
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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.
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 a...
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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.
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 uncer...
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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 ...
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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.
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...
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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.
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...
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