Results 241 to 250 of about 266,337 (258)
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Estimation of failure probabilities for intersections of non-linear limit states
Structural Safety, 2001This paper is concerned with estimating the failure probability associated with the intersection of two or more non-linear limit state functions. Previous work has relied on the use of general non-linear minimization routines to establish the intersection point of the limit states and then to use tangents to bound the region for estimating the failure ...
R.E Melchers, M Ahammed
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The State Interval Estimation Based on Ellipsoid Minkowski Sum and Intersection
Proceedings of the 2019 The 2nd International Conference on Robotics, Control and Automation Engineering, 2019This paper proposes an approach that utilizes an ellipsoid as the envelope of the intersection of multi-ellipsoids, which is applied to the system's interval estimation. To precisely obtain the estimation result of system state, the Minkowski sum of two ellipsoids, the outer envelope of ellipsoids' intersection, and the simulation of the outer envelope
Xingli Zhang +2 more
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2010 International Conference on Intelligent System Design and Engineering Application, 2010
A novel method utilizing state space neural network (SSNN) with adaptive filters is proposed to estimate the traffic flow parameters. The SSNN's network topology is derived from delays and stops estimation problem, so the design of SSNN reflects the relationships that exist in physical traffic systems.
Yang Jie +4 more
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A novel method utilizing state space neural network (SSNN) with adaptive filters is proposed to estimate the traffic flow parameters. The SSNN's network topology is derived from delays and stops estimation problem, so the design of SSNN reflects the relationships that exist in physical traffic systems.
Yang Jie +4 more
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Covariance Intersection Fusion State Estimator for Descriptor And Non Descriptor Systems
Advanced Science and Technology Letters, 2014Covariance intersection fusion state estimator is presented in this paper. The algorithm deals with descriptor and non descriptor discrete time time-invariant stochastic linear system, which is described by state space model. On the observability of the system under the assumption, the state of the system is a linear combination of input white noise ...
Yun Li +4 more
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Sustainable Energy, Grids and Networks, 2020
The paper proposes a power system state estimator upgraded by the improved relative intersection of confidence intervals (RICI) algorithm combined with the local polynomial approximation (LPA). In the proposed approach, a novel LPA-RICI denoising technique is utilized to preprocess the input measurements.
Kirinčić, Vedran +3 more
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The paper proposes a power system state estimator upgraded by the improved relative intersection of confidence intervals (RICI) algorithm combined with the local polynomial approximation (LPA). In the proposed approach, a novel LPA-RICI denoising technique is utilized to preprocess the input measurements.
Kirinčić, Vedran +3 more
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2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011
Frequent necessary stops at red traffic signals and related braking and acceleration processes significantly affect the fuel consumption and emission rates of a vehicle. The efficiency-increasing potential (fuel saving potential) of a predictive driver assistance system proposing an intelligent vehicle speed adaption well in advance the intersection is
Philipp Schuricht +2 more
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Frequent necessary stops at red traffic signals and related braking and acceleration processes significantly affect the fuel consumption and emission rates of a vehicle. The efficiency-increasing potential (fuel saving potential) of a predictive driver assistance system proposing an intelligent vehicle speed adaption well in advance the intersection is
Philipp Schuricht +2 more
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2016 12th World Congress on Intelligent Control and Automation (WCICA), 2016
For multisensor time-invariant system with uncertain noise variances. According to the minimax robust estimation principle, applying the non-augmented state approach and the direct approach, the unified modified robust CI fusion steady-state Kalman estimators (predictor, filter and smoother) are presented using the conservative cross-covariances of the
Wang Xuemei, Liu Wenqiang, Deng Zili
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For multisensor time-invariant system with uncertain noise variances. According to the minimax robust estimation principle, applying the non-augmented state approach and the direct approach, the unified modified robust CI fusion steady-state Kalman estimators (predictor, filter and smoother) are presented using the conservative cross-covariances of the
Wang Xuemei, Liu Wenqiang, Deng Zili
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Traffic State Estimation of Signalized Intersections Based on Stacked Denoising Auto-Encoder Model
Wireless Personal Communications, 2018To solve the problem of fuzziness and uncertainty of traffic states in signalized intersection, a method was proposed for estimating traffic condition based on stacked de-noising auto-encoder model. The simulation data and empirical data were used to train the model, and the K-means clustering method was used to determine the traffic state thresholds ...
Junping Xiang, Zonghai Chen
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Advanced Science and Technology Letters, 2016
Covariance intersection fusion steady-state Kalman estimator for discrete time stochastic linear systems with system errors and sensor errors is presented in this paper. Gevers-Wouters (G-W) algorithm is used in this paper. Steady-state Kalman estimator is presented in this paper avoids the complex Diophantine equation, and it is based on the ARMA ...
Yun Li, Ming Zhao, Gang Hao
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Covariance intersection fusion steady-state Kalman estimator for discrete time stochastic linear systems with system errors and sensor errors is presented in this paper. Gevers-Wouters (G-W) algorithm is used in this paper. Steady-state Kalman estimator is presented in this paper avoids the complex Diophantine equation, and it is based on the ARMA ...
Yun Li, Ming Zhao, Gang Hao
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Automatica
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K. Ritsuka +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
K. Ritsuka +2 more
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