Results 41 to 50 of about 263,212 (196)
Set-membership state estimation by solving data association [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 This paper deals with the localization problem of a robot in an environment made of indistinguishable landmarks, and assuming the initial position of the vehicle is unknown. This scenario is typically encountered in underwater applications for which landmarks such as rocks all look alike.
Simon Rohou +2 more
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Ellipsoidal set-membership estimation of systems with logarithmic quantized control input
AutomatikaFor networked control systems with logarithmic quantization, the state estimation is important. Different from the traditional state estimation methods where the uncertainties are assumed to have known probability distributions, the set-membership ...
Mingming Ji, Zhixiong Zhang
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Centralized Fusion Methods for Multi-Sensor System With Bounded Disturbances
IEEE Access, 2019 The set-membership information fusion problem is studied for general multi-sensor dynamic systems. Based on set-membership theory, three centralized state fusion estimation algorithms in the presence of bounded disturbances are proposed, namely augmented
Qiang Shen +5 more
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Set-Membership Filtering for Nonlinear Dynamic Systems With Quadratic Inequality Constraints
IEEE Access, 2020 The present study investigates the problem of set-membership filtering for nonlinear dynamic systems with general nonconvex inhomogeneous quadratic inequality constraints.
Xiaowei Li +6 more
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Recursive Set Membership State Estimation via Parallelotopes
IFAC Proceedings Volumes, 1994 Abstract In this paper the problem of recursively estimating the uncertainty set of the state of a linear dynamical system is addressed via an optimal bounding parallelotope technique and an algorithm of polynomial complexity is derived. Simulation results and performance comparisons with the ellipsoidic approach are also given.
L. Chisci, A. Garulli, G. Zappa
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A Set-Membership approach to short-term electric load forecasting
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2019 This work presents a model for the short-term forecast of electric load, based on Set-Membership techniques. The model is formed by a periodic component and an adaptive non-linear autoregressive component.
Jimena Diaz +3 more
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Probabilistic Set-Membership State Estimator [PDF]
, 2011 Interval constraint propagation methods have been shown to be efficient, robust and reliable to solve difficult nonlinear bounded-error state estimation problems. However they are considered as unsuitable in a probabilistic context, where the approximation of a probability density function by a set cannot be accepted as reliable.
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On the robustness of set-membership adaptive filtering algorithms
EURASIP Journal on Advances in Signal Processing, 2017 In this paper, we address the robustness, in the sense of l 2-stability, of the set-membership normalized least-mean-square (SM-NLMS) and the set-membership affine projection (SM-AP) algorithms. For the SM-NLMS algorithm, we demonstrate that it is robust
Hamed Yazdanpanah +2 more
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State and Unknown Terrain Estimation for Planetary Rovers via Interval Observers
Advanced Intelligent Systems, 2023 Herein, the problem of state and unknown terrain estimation is considered, where the unknown planetary terrain parameters, e.g., terrain stiffness and ground height, are inferred from how it affects rover motion through vehicle‐terrain interaction.
Mohammad Khajenejad +2 more
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Applied SciencesThis paper is concerned with the state estimation problem based on non-fragile set-membership filtering for a class of measurement-saturated memristive neural networks (MNNs) with unknown but bounded (UBB) noises, mixed time delays and missing ...
Ziyang Wang +4 more
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