This paper investigates observer parameterizations and its application to observer-based fault detection for nonlinear systems. With the aid of coprime factorization techniques, the observer parameterization forms are...
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Solving nonlinear equations is an important problem in engineering eld. Therefore, the study of ecient algorithm is of great signicance. Teaching-LearningBased Optimization (TLBO) has the advantages of simple algorith...
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Recently, more and more SSVEP(steady-state visual evoked potential) based BCIs(brain-computer interfaces) are developed to control external devices such as robots and wheelchairs. There have been many different method...
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ISBN:
(纸本)9781467374439
Recently, more and more SSVEP(steady-state visual evoked potential) based BCIs(brain-computer interfaces) are developed to control external devices such as robots and wheelchairs. There have been many different methods for detecting the presence of SSVEPs. In this paper, CCA(canonical correlation analysis) detection method and PSD(power spectral density) detection method are compared in offline experiments. Results show that CCA has a much better performance than PSD. Therefore, CCA detection method is used in the online SSVEP-based BCI system with three targets. Three subjects participated to control a virtual wheeled robot in SIGVerse simulation environment. All of the subjects were able to use this BCI system and achieving an average accuracy of 89.8%, 95.6%, 92.5% respectively.
Brain computer interface (BCI) offers disabled people a nonmuscular communication pathway. Event-related potential (ERP) is an efficient way to achieve the BCI system. One of important issues for ERP classification is...
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ISBN:
(纸本)9781509012251
Brain computer interface (BCI) offers disabled people a nonmuscular communication pathway. Event-related potential (ERP) is an efficient way to achieve the BCI system. One of important issues for ERP classification is the under sample problem, that is the feature dimension is very high while the sample number is very strictly limited. In this paper, we introduce a P300 feature extraction and classification framework using the sparse optimal score method for discriminative analysis by generalized elastic net model. In order to break the curse of dimension, regularized estimation of within-class covariance matrix is achieved and ℓ1 penalty is applied to learn sparse discriminant vectors. The optimization problem is solved by the alternating least square procedure. We test the proposed framework on P300 target detection task and experimental results indicate that it is able to improve the classification accuracy in P300-based BCI system. The efficient features extracted by our proposed framework provide overall better P300 classification accuracy than several baseline methods especially in the single trial and few training samples case.
Repetitive processes are a class of 2D systems that can be used to model physical systems and also there are applications, such as iterative learning control, where using a repetitive processes setting for design has ...
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Repetitive processes are a class of 2D systems that can be used to model physical systems and also there are applications, such as iterative learning control, where using a repetitive processes setting for design has advantages over alternatives. In most cases, it is discrete dynamics that are basis for design and often there will be a need to deal with uncertainty in the process model and the effects of disturbances. This paper develops new algorithms for these tasks that are computed using linear matrix inequalities when the uncertainty is modeled using two standard representations and disturbance attenuation is measured by an norm. The extension of these algorithms to control law design is also developed.
The membrane reflector is an important component in space optical systems. In a membrane reflector forming process, the surface reconstructed by discrete sampling points is used as a feedback signal for the forming co...
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One of the current challenges in ontology alignment is scal- ability and one technique to deal with this issue is to reduce the search space for the generation of mapping suggestions. In this paper we develop a method...
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This paper investigates the attitude synchronization of a group of moving rigid bodies whose states including positions and rotation matrices evolve in the Lie group SE(3).The commonly used circular neighborhood is ad...
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ISBN:
(纸本)9781509009107
This paper investigates the attitude synchronization of a group of moving rigid bodies whose states including positions and rotation matrices evolve in the Lie group SE(3).The commonly used circular neighborhood is adopted,and the neighbor graphs are described by proximity *** order to avoid introducing discussions on the abrupt changes of neighbor graphs,a dwell time is *** distributed sampled-data control law for the angular velocity is *** the assumptions on the initial states,we provide sufficient conditions for the attitude synchronization of multiple rigid body *** with the existing results,our condition depends only on the neighborhood radius,the moving velocity and the dwell time.
Accurate and efficient control of quantum systems is one of the central challenges for quantum information processing. Current state-of-the-art experiments rarely go beyond 10 qubits and in most cases demonstrate only...
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