Results 41 to 50 of about 178,773 (337)

Event-Triggered State Estimation for Uncertain Systems with Binary Encoding Transmission Scheme

open access: yesMathematics, 2023
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
doaj   +1 more source

Minimum Energy Estimation and Moving Horizon Estimation [PDF]

open access: yes2015 54th IEEE Conference on Decision and Control (CDC), 2015
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]

open access: yes, 2019
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
core   +1 more source

Adaptive Moving Horizon Estimator for Return Flow Rate Estimation using Fluid Levels of a Venturi Channel [PDF]

open access: yesModeling, Identification and Control, 2020
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
doaj   +1 more source

Moving-Horizon Dynamic Power System State Estimation Using Semidefinite Relaxation

open access: yes, 2014
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
core   +1 more source

Pricing Liquidity Risk with Heterogeneous Investment Horizons [PDF]

open access: yes, 2020
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
core   +1 more source

Distributed bounded-error state estimation for partitioned systems based on practical robust positive invariance

open access: yes, 2013
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]

open access: yes2013 European Control Conference (ECC), 2013
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
openaire   +2 more sources

On Adaptive Measurement Inclusion Rate In Real-Time Moving-Horizon Observers

open access: yes, 2013
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
core   +2 more sources

Controlled Interaction: Strategies For Using Virtual Reality To Study Perception [PDF]

open access: yes, 2010
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.
core   +3 more sources

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