Results 221 to 230 of about 1,686,514 (289)
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Ellipsoid bounding estimation for kinematic geodetic positioning
Measurement, 2016Abstract In kinematic position estimation, a Kalman filter procedure is often used to provide improved solution benefiting from the history information. However, the optimal Kalman filtering solutions are subject to precise function models and statistic knowledge of noises, which may be difficult to obtain in advance.
Haiyang Qiu, Hui Wang, Lin Zhao
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Ellipsoidal Bounds of Elastic Composites
Journal of Applied Mechanics, 2012The formulation of rigorous bounds for the physical properties of composites constitutes one of the most fundamental parts of applied mechanics. In this work, the so-called ellipsoidal bounds, as a generalization of the Hashin-Shtrikman spherical bounds, are formulated for elastic moduli of multiphase composites.
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, 2020
A collision avoidance algorithm for multiple unknown static obstacles is proposed for a quadrotor system. A stereo vision system with a limited field of view and sensing range is assumed to be mounted on the quadrotor to obtain obstacle information.
Jongho Park, Hoki Baek
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A collision avoidance algorithm for multiple unknown static obstacles is proposed for a quadrotor system. A stereo vision system with a limited field of view and sensing range is assumed to be mounted on the quadrotor to obtain obstacle information.
Jongho Park, Hoki Baek
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Reachable set bounding for neural networks with mixed delays: Reciprocally convex approach
Neural Networks, 2020This paper discusses the reachable set estimation problem of neural networks with mixed delays. Firstly, by means of the maximal Lyapunov-Krasovskii functional, we obtain a non-ellipsoid form of the reachable set.
Ruihan Chen +3 more
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Reachable set bounding for a class of memristive complex-valued neural networks with disturbances
Neurocomputing, 2020This study focus on reachable set bounding for memristive complex-valued neural networks (MCVNNs) with bounded input disturbances. In order to find the region such that all the solutions of MCVNNs with bounded input disturbances converge within it, we ...
Yu Gao, Song Zhu, Jinyu Li
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State bounding with minimal volume ellipsoids
UKACC International Conference on Control. Control '96, 1996The paper presents recursive algorithms for guaranteed state estimation using ellipsoidal bounds on the state of the system and the process and observation noises. Alternative techniques are used in the observation update to find an ellipsoid containing the feasible set.
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Ellipsoidal bounds for uncertain linear equations and dynamical systems
Automatica, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CALAFIORE, Giuseppe Carlo, EL GHAOUI L.
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IEEE/ACM Transactions on Networking, 2022
This paper investigates the asynchronous event-triggered state-feedback control for discrete-time nonlinear singular Markov jump systems subject to reachable set bounding and stochastic cyber-attacks.
L. Zhang +3 more
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This paper investigates the asynchronous event-triggered state-feedback control for discrete-time nonlinear singular Markov jump systems subject to reachable set bounding and stochastic cyber-attacks.
L. Zhang +3 more
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Bounding ellipsoids for ray-fractal intersection
Proceedings of the 12th annual conference on Computer graphics and interactive techniques - SIGGRAPH '85, 1985Recently published papers have shown that, with appropriate intersection algorithms, the rendering of many procedural objects is possible with all the advantages offered by the ray-tracing techniques. In the case of stochastic surfaces, the intersection can be computed by a recursive subdivision technique.
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Limiting Behaviour of Bounding Ellipsoids for State Estimation
IFAC Proceedings Volumes, 2001Abstract Ellipsoidal technique is an advantageous and helpful tool in state estimation of dynamic systems with bounded disturbances; it gives a reliable outer approximations on reachable sets. In this paper the problem concerning asymptotic behaviour of ellipsoidal estimates is considered for linear discrete-time systems without measurements.
S.A. Nazin, B.T. Polyak
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