State Estimation Using Non-uniform and Delayed Information: A Review

Isaza, Jhon A.; Botero, Héctor; Álvarez, Hernán

doi:10.1007/s11633-017-1106-7

Cited by 11 publications

(2 citation statements)

References 39 publications

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“…Weaker interference can be eliminated by filtering techniques, but stronger interference can directly cause the receiver to lose signal completely from time to time, which is difficult to handle for state estimation. Such irregular intermittent reception signals are called non-uniform measurements or intermittent measurements, which are professionally defined as measurements that are not necessarily available at every constant time period [7].…”

Section: Introductionmentioning

confidence: 99%

Kalman Filter Design for Intermittent Optical Wireless Communication Systems on Time Scales

Cai¹,

Nasser²,

Djemaï³

et al. 2022

Preprint

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Time-scale theory, due to its ability to unify the continuous and discrete cases, allows handling intractable nonuniform measurements, such as intermittent received signals.In this work, we address the state estimation problem of a vibration-induced intermittent optical wireless communication (OWC) system by designing a Kalman filter on time scales. First, the algorithm of the time-scale Kalman filter is introduced and a numerical example is given for illustration. Then the studied intermittent OWC system is presented, and experimental data are collected to determine the time scale's form, which has bounded graininess (a.k.a, bounded time jumps). Finally, we design a Kalman filter on the previously defined time scale for the intermittent OWC system and critically analyzed its estimation performance. Moreover, the obtained conclusions are further validated on a reference system. The simulation results corroborate that the time-scale Kalman filtering technique is considerably promising to solve the state estimation problem with non-uniform measurements. This study reveals for the first time the feasibility of applying the time-scale Kalman filter theory to practical applications.

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Section: Introductionmentioning

confidence: 99%

Kalman Filter Design for Intermittent Optical Wireless Communication Systems on Time Scales

Cai¹,

Nasser²,

Djemaï³

et al. 2022

Preprint

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show abstract

“…In the nonlinear framework, there are many paths one can follow in order to perform data fusion for multirate systems, as it can be seen from [22]. In [41], the authors relied on a fully continuous Luenberger-type design where the missing measurements were predicted with the help of a polynomial interpolation method.…”

Section: Introductionmentioning

confidence: 99%

High-gain extended Kalman filter for continuous-discrete systems with asynchronous measurements

Feddaoui

Boizot

Busvelle

et al. 2018

International Journal of Control

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This paper investigates an adaptation of the high-gain Kalman filter for nonlinear continuous-discrete system with multirate sampled outputs under an observability normal form. The contribution of this article is twofold. First, we prove the global exponential convergence of this observer through the existence of bounds for the Riccati matrix. Second, we show that, under certain conditions on the sampling procedure, the observer's asynchronous continuous-discrete Riccati equation is stable and also, that its solution is bounded from above and below. An example, inspired by mobile robotics, with three outputs available is given for illustration purposes.

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A New Approach to Estimate True Position of Unmanned Aerial Vehicles in an INS/GPS Integration System in GPS Spoofing Attack Conditions

Majidi

Khaloozadeh

2018

Int. J. Autom. Comput.

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State Estimation Using Non-uniform and Delayed Information: A Review

Cited by 11 publications

References 39 publications

Kalman Filter Design for Intermittent Optical Wireless Communication Systems on Time Scales

Kalman Filter Design for Intermittent Optical Wireless Communication Systems on Time Scales

High-gain extended Kalman filter for continuous-discrete systems with asynchronous measurements

A New Approach to Estimate True Position of Unmanned Aerial Vehicles in an INS/GPS Integration System in GPS Spoofing Attack Conditions

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