In this paper a new identification method for non-linear hybrid systems that have mixed continuous and discrete states by using fuzzy clustering and principal component analysis is described. The method first determin...
详细信息
A feedback controller is proposed for cancellation of magnetic resonance imaging (MRI) noise. The design of the controller takes into account specific features of the MRI noise signal. Simulation results show that a c...
详细信息
ISBN:
(纸本)9781618392800
A feedback controller is proposed for cancellation of magnetic resonance imaging (MRI) noise. The design of the controller takes into account specific features of the MRI noise signal. Simulation results show that a considerable rejection rate of the MRI noise can be obtained.
Abstract In this article, two new comparison principles for studying positive invariance and stability of linear and nonlinear discrete-time systems are presented. First, a general comparison principle enabling one to...
详细信息
Abstract In this article, two new comparison principles for studying positive invariance and stability of linear and nonlinear discrete-time systems are presented. First, a general comparison principle enabling one to determine necessary and sufficient conditions of positive invariance of sets described by their “border surfaces” is developed. Then, a dual comparison principle describing the dynamics of the “vertices” of these sets is established. Both results can be used for the stability analysis and the control design of nonlinear systems.
In this note, we study the problem of multiple hard output constraints imposed on a continuous stirred tank reactor (CSTR) subject to external disturbances. Constraints on the concentration and on the temperature are ...
详细信息
This paper describes the different communication patterns followed in industrial communications and maps them into DDS (Data Distribution Service) which is a recent middleware specification. This specification follows...
详细信息
In this paper, we introduce a bijective mapping ν″ nwhich maps an n-dimensional unit space IIn to a subset of the one-dimensional interval , by using a symbolic, 2-adic representation of each point of the space. We ...
详细信息
This paper considers the design of robust H∞ filters for continuous-time linear systems with uncertainties described by integral quadratic constraints (IQCs). The synthesis problem can be converted into an infinite-d...
详细信息
Abstract One of the obstacles of applying data-driven models in industry is the lack of confidence in the accuracy of the model predictions. One way of overcoming this is by adding a confidence interval on the predict...
详细信息
Abstract One of the obstacles of applying data-driven models in industry is the lack of confidence in the accuracy of the model predictions. One way of overcoming this is by adding a confidence interval on the predictions. In this paper, we propose a new approach for the confidence interval assessment for model predictions based on a Gaussian Mixture Model (GMM) framework. The advantages of the presented approach include its capability to handle complicated non-white noise sequences, the ability to provide an accurate confidence interval, and its independence to the type of the data model to be assessed. The proposed approach is applied to an industrial case study: the Charpy impact energy prediction, which includes real industrial data containing a significant noise component and with an inherited sparse data distribution. The resulting confidence intervals reflect the prediction uncertainty against the test data. Furthermore, the GMM-based approach can also be used for model bias correction. The GMM-based confidence interval assessment for data driven models represents a valuable contribution especially in the case of critical applications.
This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. The cerebellar controller is a modified MOSAIC model which adaptively controls the arm. We call this model ORF-MOSAIC (Orga...
详细信息
暂无评论