Results 41 to 50 of about 178,773 (337)
Event-Triggered State Estimation for Uncertain Systems with Binary Encoding Transmission Scheme
This paper proposes an event-triggered state estimation method for parameter-uncertain systems with a binary encoding transmission scheme. Firstly, a binary encoding transmission scheme is introduced between the state estimator and the system to improve ...
Zun Li, Binqiang Xue, Youyuan Chen
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Minimum Energy Estimation and Moving Horizon Estimation [PDF]
Minimum Energy Estimation is a way of filtering the state of a nonlinear system from partial and inexact measurements. It is a generalization of Gauss' method of least squares. Its application to filtering of control systems goes back at least to Mortenson who called it Maximum Likelyhood Estimation [12].
openaire +1 more source
Deep Drone Racing: From Simulation to Reality with Domain Randomization [PDF]
Dynamically changing environments, unreliable state estimation, and operation under severe resource constraints are fundamental challenges that limit the deployment of small autonomous drones.
Dosovitskiy, Alexey +5 more
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Adaptive Moving Horizon Estimator for Return Flow Rate Estimation using Fluid Levels of a Venturi Channel [PDF]
Real-time estimation of the return drilling fluid during oil well drilling is investigated in this study. Online fluid level measurements from a Venturi channel which can be placed on the return flowline is used with a model-based estimator.
Asanthi Jinasena, Roshan Sharma
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Moving-Horizon Dynamic Power System State Estimation Using Semidefinite Relaxation
Accurate power system state estimation (PSSE) is an essential prerequisite for reliable operation of power systems. Different from static PSSE, dynamic PSSE can exploit past measurements based on a dynamical state evolution model, offering improved ...
Giannakis, Georgios B. +2 more
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Pricing Liquidity Risk with Heterogeneous Investment Horizons [PDF]
We develop an asset pricing model with stochastic transaction costs and investors with heterogeneous horizons. Depending on their horizon, investors hold different sets of assets in equilibrium.
Beber, A. +3 more
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We propose a partition-based state estimator for linear discrete-time systems composed by coupled subsystems affected by bounded disturbances. The architecture is distributed in the sense that each subsystem is equipped with a local state estimator that ...
Ferrari-Trecate, G. +2 more
core +1 more source
Moving horizon for friction state and parameter estimation [PDF]
Efficient on-line state and parameter estimation is essential for model-based friction compensation in order to track changes of friction characteristics in time and space. This paper presents a moving horizon estimation (MHE) algorithm for on-line friction state and parameter estimation using a smoothed (analytic) version of the Generalized Maxwell ...
Boegli, Max +3 more
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On Adaptive Measurement Inclusion Rate In Real-Time Moving-Horizon Observers
This paper investigates a self adaptation mechanism regarding the rate with which new measurements have to be incorporated in Moving-Horizon state estimation algorithms.
Alamir, Mazen
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Controlled Interaction: Strategies For Using Virtual Reality To Study Perception [PDF]
Immersive virtual reality systems employing head-mounted displays offer great promise for the investigation of perception and action, but there are well-documented limitations to most virtual reality systems. In the present article, we suggest strategies
Durgin, Frank H., Li, Z.
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