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In this paper we present a sequential sampling strategy for multiresponse radial basis function. Different from traditional methods which construct a single metamodel for each scalar response independently, the proposed approach takes multiple responses simultaneously. The product of minimum distance from other current sampling sites and curvature of the site on the response surface is introduced...
Variable-fidelity (VF) approximation models are wildly used to replace computational expensive simulation models in complex engineering designs. In this paper, a design space reduction variable-fidelity metamodeling (DSR-VFM) approach is proposed. In the proposed DSR-VFM, addition scaling Kriging (ASK) is chosen as the approximation model and self-organizing maps (SOM) is adopt to reduce the design...
In this paper, a new approach is presented for predicting landslide displacement using multi-gene genetic programming (MGGP). For the characteristic of MGGP which does not need specific assumptions, two real cases is used to prove the new approach is feasibility and validity.
Variable-fidelity (VF) modeling methods have been widely used in complex engineering system design to mitigate the computational burden. However, the existing VF modeling methods do not make full use of the mutual information between high-fidelity (HF) and low-fidelity (LF) models which may lead to low accuracy VF model. In this paper, a global VF modeling method named improved hierarchical kriging...
This paper studies a data-driven adaptive optimal control problem of a Quanser's 2-degree-of-freedom (DOF) helicopter via output-feedback. A novel sampled-data-based approximate/adaptive dynamic programming (ADP) approach is developed. We start from a stabilizing controller computed using the bound of model uncertainties. Then the optimal control gain is iteratively learned by input/output information...
Computational models with variable fidelity have been widely used in engineering design. To make a trade-off between high accuracy and low expense, variable fidelity (VF) metamodeling approaches that aim to integrate information from both low fidelity (LF) and high-fidelity (HF) models have gained increasing popularity. In this paper an active learning variable-fidelity (VF) metamodeling approach...
In order to understand insights into human stance postural control mechanism, generation of biped stance motion in consideration of both muscles and neurological time delay is important. In this paper, we proposed a neural controller composed by feed-forward and feedback control to keep a musculoskeletal model with 70 muscles standing when neurological time delay is 100 ms. Through the optimization,...
In this paper, to study rum or spreading model for the web forum of which the topological structure has a strong heterogeneity, we propose a novel susceptible-exposed-infected-removed (SEIR) model by introducing the importance and fuzziness of the content of the rum or. We derive mean-field equations characterizing the dynamics of the SEIR model on heterogeneous network. Then a steady-state analysis...
This paper discusses parameter estimation problems of the multi-input multi-output systems described by input-output difference equation models. A maximum likelihood stochastic gradient algorithm with a forgetting factor is proposed for each subsystem. The effectiveness of the proposed algorithm is verified by a numerical example.
As human beings, we coordinate movements and interact with our environment through sensory information and motor adaptation in our daily lives. Many characteristics of these interactions can be studied using optimization-based models, which assume that the precise knowledge of both the sensorimotor system and its interacting environment is available for the central nervous system (CNS). However, when...
An improved paper defects detection method based on visual attention mechanism computation model is presented. First, multi-scale feature maps are extracted by linear filtering. Second, the comparative maps are obtained by carrying out center-surround difference operator. Third, the saliency map is obtained by combining the conspicuity maps, which is gained by combining the multi-scale comparative...
Preventive maintenance is required for many important systems as failure occurrence results in great loss. Therefore, a sequential preventive maintenance decision procedure is proposed to maintain the hazard rate below the predefined level. A scheduled replacement with lower cost than failure replacement is required after several preventive maintenance actions. The time points (durations) for preventive...
Collaborative Product Development (CPD) has been widely accepted as an advanced paradigm to combine geographical distributed project teams to develop more competitive products. However, the process management for CPD is still a challenging research issue due to the distributed and dynamic nature of the problem currently. At the base of our previous study on process-view approach for inter-enterprises...
A novel mobile robot based gas source localization method in which the top-down visual attention mechanism (TDVAM) is combined with shape analysis is proposed. At each location, three different images which cover the scene in front of the robot are captured via changing the horizontal angle of an onboard pan/tilt camera. In each image, three salient regions are computed using TDVAM model, and maximal...
In this paper, based on cellular automata, two models of malware propagation are proposed to evaluate the probabilistic behavior of malware propagation in complex networks. The proposed models can be applied to all kinds of topological networks, such as exponential networks and power law networks and can describe effectively the spatial-temporal process of malware propagation. Through the analysis...
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