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72,959 Results Found

  • Tutorial
  • Open Access
10 Citations
9,485 Views
13 Pages

A tutorial on robust control, adaptive control, robust adaptive control and adaptive control of robotic manipulators is presented in a systematic manner. Some limitations of the above methods are also illustrated. The relationships between the robust...

  • Article
  • Open Access
4 Citations
3,230 Views
16 Pages

Light Robust Goal Programming

  • Emmanuel Kwasi Mensah and
  • Matteo Rocca

28 September 2019

Robust goal programming (RGP) is an emerging field of research in decision-making problems with multiple conflicting objectives and uncertain parameters. RGP combines robust optimization (RO) with variants of goal programming techniques to achieve st...

  • Article
  • Open Access
6 Citations
3,844 Views
22 Pages

Robust Estimation of Carbon Monoxide Measurements

  • Wilmar Hernandez and
  • Alfredo Mendez

2 September 2020

This paper presents a robust analysis of carbon monoxide (CO) concentration measurements conducted at the Belisario air-quality monitoring station (Quito, Ecuador). For the analysis, the data collected from 1 January 2008 to 31 December 2019 were con...

  • Article
  • Open Access
6 Citations
2,116 Views
17 Pages

Robust LCEKF for Mismatched Nonlinear Systems with Non-Additive Noise/Inputs and Its Application to Robust Vehicle Navigation

  • Rayen Ben Abdallah,
  • Jordi Vilà-Valls,
  • Gaël Pagès,
  • Damien Vivet and
  • Eric Chaumette

16 March 2021

It is well known that the standard state estimation technique performance is particularly sensitive to perfect system knowledge, where the underlying assumptions are: (i) Process and measurement functions and parameters are known, (ii) inputs are kno...

  • Article
  • Open Access
581 Views
15 Pages

17 September 2025

For the autoregressive models, classical estimation methods, including the least squares estimator or the maximum likelihood estimator are not robust to heavy-tailed distributions or outliers in the dataset, and lack sparsity, leading to potentially...

  • Article
  • Open Access
6 Citations
2,145 Views
22 Pages

31 October 2022

This paper addresses the robust job-shop scheduling problems (RJSSP) with stochastic deteriorating processing times by considering the resilience of the production schedule. To deal with the disturbances caused by the processing time variations, the...

  • Feature Paper
  • Article
  • Open Access
12 Citations
5,152 Views
14 Pages

In recent decades, researchers have been focused on developing noise-robust methods in order to compensate for noise effects in automatic speech recognition (ASR) systems and enhance their performance. In this paper, we propose a feature-based noise-...

  • Article
  • Open Access
5 Citations
3,111 Views
20 Pages

4 February 2021

The distance constrained maximum likelihood procedure (DCML) optimally combines a robust estimator with the maximum likelihood estimator with the purpose of improving its small sample efficiency while preserving a good robustness level. It has been p...

  • Article
  • Open Access
5 Citations
1,466 Views
17 Pages

29 December 2022

In this paper, we establish various results of duality for a new class of constrained robust nonlinear optimization problems. For this new class of problems, involving functionals of (path-independent) curvilinear integral type and mixed constraints...

  • Article
  • Open Access
1 Citations
7,164 Views
16 Pages

Epistemically Robust Strategy Subsets

  • Geir B. Asheim,
  • Mark Voorneveld and
  • Jörgen W. Weibull

25 November 2016

We define a concept of epistemic robustness in the context of an epistemic model of a finite normal-form game where a player type corresponds to a belief over the profiles of opponent strategies and types. A Cartesian product X of pure-strategy subse...

  • Article
  • Open Access
41 Citations
6,368 Views
13 Pages

Hyperspectral Unmixing with Robust Collaborative Sparse Regression

  • Chang Li,
  • Yong Ma,
  • Xiaoguang Mei,
  • Chengyin Liu and
  • Jiayi Ma

11 July 2016

Recently, sparse unmixing (SU) of hyperspectral data has received particular attention for analyzing remote sensing images. However, most SU methods are based on the commonly admitted linear mixing model (LMM), which ignores the possible nonlinear ef...

  • Article
  • Open Access
5 Citations
3,702 Views
41 Pages

Mechanisms for Robust Local Differential Privacy

  • Milan Lopuhaä-Zwakenberg and
  • Jasper Goseling

6 March 2024

We consider privacy mechanisms for releasing data X=(S,U), where S is sensitive and U is non-sensitive. We introduce the robust local differential privacy (RLDP) framework, which provides strong privacy guarantees, while preserving utility. This is a...

  • Article
  • Open Access
2 Citations
2,235 Views
22 Pages

SINR- and MI-Based Double-Robust Waveform Design

  • Fengming Xin,
  • Jing Li,
  • Yan Wang and
  • Mingfeng Zhang

17 December 2022

Owing to cognitive radar breaking the open-loop receiving–transmitting mode of traditional radar, adaptive waveform design for cognitive radar has become a central issue in radar system research. In this paper, the method of radar transmitted w...

  • Article
  • Open Access
7 Citations
1,868 Views
15 Pages

The aim of this study is to investigate multi-dimensional vector variational problems considering data uncertainty in each of the objective functional and constraints. We establish the robust necessary and sufficient efficiency conditions such that a...

  • Article
  • Open Access
1,918 Views
23 Pages

Fast Tube-Based Robust Compensation Control for Fixed-Wing UAVs

  • Lixin Wang,
  • Sizhuang Zheng,
  • Weijia Wang,
  • Hao Wang,
  • Hailiang Liu and
  • Ting Yue

21 July 2023

When considering the robust control of fixed-wing Unmanned Aerial Vehicles (UAVs), a conflict often arises between addressing nonlinearity and meeting fast-solving requirements. In existing studies, the less nonlinear robust control methods have show...

  • Article
  • Open Access
3 Citations
2,495 Views
19 Pages

10 April 2021

In this paper, we introduce a robust version of the empirical likelihood estimator for semiparametric moment condition models. This estimator is obtained by minimizing the modified Kullback–Leibler divergence, in its dual form, using truncated orthog...

  • Technical Note
  • Open Access
12 Citations
5,330 Views
7 Pages

Clinical Implementation of Robust Optimization for Craniospinal Irradiation

  • Alexandria Tasson,
  • Nadia N. Laack and
  • Chris Beltran

3 January 2018

With robust optimization for spot scanning proton therapy now commercially available, the ability exists to account for setup, range, and interfield uncertainties during optimization. Robust optimization is particularly beneficial for craniospinal ir...

  • Article
  • Open Access
32 Citations
8,373 Views
14 Pages

Robust Control of Small Turbojet Engines

  • Rudolf Andoga,
  • Ladislav Főző,
  • Radovan Kovács,
  • Károly Beneda,
  • Tomáš Moravec and
  • Michal Schreiner

Modern turbojet engines mainly use computerized digital engine control systems. This opens the way for application of advanced algorithms aimed at increasing their operational efficiency and safety. The theory of robust control is a set of methods kn...

  • Article
  • Open Access
412 Views
22 Pages

4 January 2026

The concordance correlation coefficient (CCC) is a popular measure of agreement between two continuous variables but is highly sensitive to outliers and data contamination. In this study, we propose a robust reformulation of the CCC by replacing clas...

  • Article
  • Open Access
32 Citations
7,222 Views
21 Pages

Robust and Sparse Regression via γ-Divergence

  • Takayuki Kawashima and
  • Hironori Fujisawa

13 November 2017

In high-dimensional data, many sparse regression methods have been proposed. However, they may not be robust against outliers. Recently, the use of density power weight has been studied for robust parameter estimation, and the corresponding divergenc...

  • Article
  • Open Access
282 Views
20 Pages

Distributed Robust Algorithms with Dependent Sampling

  • Baobin Wang,
  • Ting Hu and
  • Liangzhen Lei

27 November 2025

Robust algorithms have been widely used and intensively studied in the communities of engineering, statistics, and machine learning since such algorithms are less sensitive to outliers and effective in addressing the issue of non-Gaussian noise durin...

  • Proceeding Paper
  • Open Access
8 Citations
4,342 Views
9 Pages

An important stage in robust control design is to define the desired performances of the closed loop control system using the models of the frequency sensitivity functions S. If the frequency sensitivity functions remain within the limits imposed by...

  • Article
  • Open Access
19 Citations
1,720 Views
12 Pages

A Study on Fuzzy Robust Regression and Its Application to Insurance

  • Kamile Şanlı Kula,
  • Fatih Tank and
  • Türkan Erbay Dalkılıç

1 December 2012

In this study, a fuzzy robust regression method is proposed to construct a model that describes the relation between dependent and independent variables in insurance. Fuzzy robust regression suggested as an alternative to not only ordinary least squa...

  • Article
  • Open Access
4 Citations
1,397 Views
13 Pages

7 July 2023

In this paper, by considering the parametric technique, we study a class of fractional optimization problems involving data uncertainty in the objective functional. We formulate and prove the robust Karush-Kuhn-Tucker necessary optimality conditions...

  • Article
  • Open Access
4 Citations
1,288 Views
14 Pages

20 July 2023

We study the sufficient optimality conditions for a class of fractional variational control problems involving data uncertainty in the cost functional. Concretely, by using the parametric technique, we prove the sufficiency of the robust necessary op...

  • Article
  • Open Access
26 Citations
4,224 Views
16 Pages

19 October 2020

In order to achieve a highly autonomous and reliable navigation system for aerial vehicles that involves the spectral redshift navigation system (SRS), the inertial navigation (INS)/spectral redshift navigation (SRS)/celestial navigation (CNS) integr...

  • Article
  • Open Access
3 Citations
2,849 Views
24 Pages

12 December 2022

This paper presents a robust method for dealing with switching regression problems. Regression models with switch-points are broadly employed in diverse areas. Many traditional methods for switching regressions can falter in the presence of outliers...

  • Article
  • Open Access
1 Citations
1,573 Views
18 Pages

Intelligent Structure Identification and Robust Control Implementation

  • Amalia Moutsopoulou,
  • Markos Petousis,
  • Georgios E. Stavroulakis,
  • Anastasios Pouliezos and
  • Nectarios Vidakis

30 April 2024

This study outlines a comprehensive strategy for designing and implementing robust controllers tailored for intelligent structures. This study presents a robust control-based structural identification technique that uses the input/output data of the...

  • Article
  • Open Access
25 Citations
3,654 Views
27 Pages

3 November 2022

The Poisson maximum likelihood (PML) is used to estimate the coefficients of the Poisson regression model (PRM). Since the resulting estimators are sensitive to outliers, different studies have provided robust Poisson regression estimators to allevia...

  • Article
  • Open Access
2 Citations
5,479 Views
22 Pages

Earthquake Vulnerability Reduction by Building a Robust Social-Emotional Preparedness Program

  • Shira Daskal,
  • Adar Ben-Eliyahu,
  • Gal Levy,
  • Yakov Ben-Haim and
  • Ronnen Avny

10 May 2022

Despite the progress made in understanding the characteristics of earthquakes, the predictions of earthquake activity are still inevitably very uncertain, mainly because of the highly complex nature of the earthquake process. The population′s m...

  • Article
  • Open Access
1 Citations
2,405 Views
23 Pages

Fault Tree Analysis for Robust Design

  • Jonathan DeGroff and
  • Gene Jean-Win Hou

10 February 2025

The objective of this research is to incorporate system failure into a robust design formation and solution process. The system failure referred to here will be built using fault tree analysis (FTA), which will take all lower-level failure events int...

  • Article
  • Open Access
6 Citations
6,007 Views
22 Pages

1 March 2018

Designing robust circuits that withstand environmental perturbation and device degradation is critical for many applications. Traditional robust circuit design is mainly done by tuning parameters to improve system robustness. However, the topological...

  • Article
  • Open Access
14 Citations
14,307 Views
19 Pages

RoPEUS: A New Robust Algorithm for Static Positioning in Ultrasonic Systems

  • José Carlos Prieto,
  • Christophe Croux and
  • Antonio Ramón Jiménez

3 June 2009

A well known problem for precise positioning in real environments is the presence of outliers in the measurement sample. Its importance is even bigger in ultrasound based systems since this technology needs a direct line of sight between emitters and...

  • Article
  • Open Access
1 Citations
2,815 Views
23 Pages

Resampling-Detection-Network-Based Robust Image Watermarking against Scaling and Cutting

  • Hao-Lai Li,
  • Xu-Qing Zhang,
  • Zong-Hui Wang,
  • Zhe-Ming Lu and
  • Jia-Lin Cui

30 September 2023

Watermarking is an excellent solution to protect multimedia privacy but will be damaged by attacks such as noise adding, image filtering, compression, and especially scaling and cutting. In this paper, we propose a watermarking scheme to embed the wa...

  • Review
  • Open Access
127 Citations
26,606 Views
40 Pages

Robust Reinforcement Learning: A Review of Foundations and Recent Advances

  • Janosch Moos,
  • Kay Hansel,
  • Hany Abdulsamad,
  • Svenja Stark,
  • Debora Clever and
  • Jan Peters

Reinforcement learning (RL) has become a highly successful framework for learning in Markov decision processes (MDP). Due to the adoption of RL in realistic and complex environments, solution robustness becomes an increasingly important aspect of RL...

  • Article
  • Open Access
11 Citations
1,969 Views
13 Pages

28 July 2021

In this paper, we introduce a new class of multi-dimensional robust optimization problems (named (P)) with mixed constraints implying second-order partial differential equations (PDEs) and inequations (PDIs). Moreover, we define an auxiliary (modifie...

  • Article
  • Open Access
1 Citations
3,226 Views
9 Pages

We use the concept of coarsened posteriors to provide robust Bayesian inference via coarsening in order to robustify posteriors arising from stochastic frontier models. These posteriors arise from tempered versions of the likelihood when at most a pr...

  • Article
  • Open Access
11 Citations
7,021 Views
19 Pages

Robust Design of an Optical Micromachine for an Ophthalmic Application

  • Ingo Sieber,
  • Thomas Martin and
  • Ulrich Gengenbach

This article describes an approach to the robust design of an optical micromachine consisting of a freeform optics, an amplification linkage, and an actuator. The robust design approach consists of monolithic integration principles to minimize assemb...

  • Article
  • Open Access
7 Citations
4,813 Views
18 Pages

A Robust General Multivariate Chain Ladder Method

  • Kris Peremans,
  • Stefan Van Aelst and
  • Tim Verdonck

30 September 2018

The chain ladder method is a popular technique to estimate the future reserves needed to handle claims that are not fully settled. Since the predictions of the aggregate portfolio (consisting of different subportfolios) do not need to be equal to the...

  • Article
  • Open Access
10 Citations
5,685 Views
25 Pages

Robust Biometric Authentication from an Information Theoretic Perspective

  • Andrea Grigorescu,
  • Holger Boche and
  • Rafael F. Schaefer

9 September 2017

Robust biometric authentication is studied from an information theoretic perspective. Compound sources are used to account for uncertainty in the knowledge of the source statistics and are further used to model certain attack classes. It is shown tha...

  • Article
  • Open Access
33 Citations
8,358 Views
18 Pages

16 March 2015

A robust optimization approach for a MEMS accelerometer to minimize the effects of temperature variations is presented. The mathematical model of the accelerometer is built. The effects of temperature variations on the output performance of the accel...

  • Article
  • Open Access
4 Citations
3,726 Views
16 Pages

6 March 2023

This paper introduces a novel distributionally robust mean-variance portfolio estimator based on the projection robust Wasserstein (PRW) distance. This approach addresses the issue of increasing conservatism of portfolio allocation strategies due to...

  • Article
  • Open Access
1 Citations
2,840 Views
19 Pages

27 December 2020

This paper presents objective priors for robust Bayesian estimation against outliers based on divergences. The minimum γ-divergence estimator is well-known to work well in estimation against heavy contamination. The robust Bayesian methods by u...

  • Article
  • Open Access
17 Citations
4,577 Views
21 Pages

μ-Synthesis for Fractional-Order Robust Controllers

  • Vlad Mihaly,
  • Mircea Şuşcă,
  • Dora Morar,
  • Mihai Stănese and
  • Petru Dobra

20 April 2021

The current article presents a design procedure for obtaining robust multiple-input and multiple-output (MIMO) fractional-order controllers using a μ-synthesis design procedure with DK iteration. μ-synthesis uses the generalized Robust Control frame...

  • Article
  • Open Access
2,751 Views
28 Pages

27 May 2025

Image steganography is a research field that focuses on covert storage and transmission technologies. However, current image hiding methods based on invertible neural networks (INNs) have limitations in extracting image features. Additionally, after...

  • Article
  • Open Access
8 Citations
4,411 Views
23 Pages

2 April 2018

The research object in this paper is the sub network formed by the predecessor’s affect on the solution activity. This paper is to study three types of influencing factors from the predecessors that lead to the delay of starting time of the solution...

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