Modeling and control of overhead cranes: A tutorial overview and perspectives

MR Mojallizadeh, B Brogliato, C Prieur - Annual Reviews in Control, 2023 - Elsevier
This article presents a complete review of the modeling and control schemes for overhead
cranes operating in 2D and 3D spaces published to date. The modeling schemes including …

Recursive least squares for real-time implementation [lecture notes]

SAU Islam, DS Bernstein - IEEE Control Systems Magazine, 2019 - ieeexplore.ieee.org
Recursive least squares (RLS) is a technique used for minimizing a quadratic cost function,
where the minimizer is updated at each step as new data become available. RLS is more …

An introduction to disk margins [lecture notes]

P Seiler, A Packard, P Gahinet - IEEE Control Systems …, 2020 - ieeexplore.ieee.org
This article provides a tutorial introduction to disk margins. These are robust stability
measures that account for simuitaneous gain and phase perturbations in a feedback system …

[图书][B] Handbook of writing for the mathematical sciences

NJ Higham - 2020 - SIAM
Handbook of Writing for the Mathematical Sciences, Third Edition : Back Matter Page 1 Glossary
abstract. A brief, self-contained summary of the contents of a paper that appears by itself at …

LMI properties and applications in systems, stability, and control theory

RJ Caverly, JR Forbes - arXiv preprint arXiv:1903.08599, 2019 - arxiv.org
Linear matrix inequalities (LMIs) commonly appear in systems, stability, and control
applications. Many analysis and synthesis problems in these areas can be solved as …

Safety-aware pursuit-evasion games in unknown environments using gaussian processes and finite-time convergent reinforcement learning

NMT Kokolakis, KG Vamvoudakis - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article develops a safe pursuit-evasion game for enabling finite-time capture, optimal
performance as well as adaptation to an unknown cluttered environment. The pursuit …

Convergence and consistency of recursive least squares with variable-rate forgetting

AL Bruce, A Goel, DS Bernstein - Automatica, 2020 - Elsevier
A recursive least squares algorithm with variable rate forgetting (VRF) is derived by
minimizing a quadratic cost function. Under persistent excitation, the minimizer given by VRF …

A brief overview and survey of the scientific work by Feng Qi

RP Agarwal, E Karapinar, M Kostić, J Cao, WS Du - Axioms, 2022 - mdpi.com
Axioms | Free Full-Text | A Brief Overview and Survey of the Scientific Work by Feng Qi Next
Article in Journal A Stable Generalized Finite Element Method Coupled with Deep Neural …

Near-optimal algorithms for gaussians with huber contamination: Mean estimation and linear regression

I Diakonikolas, D Kane, A Pensia… - Advances in Neural …, 2024 - proceedings.neurips.cc
We study the fundamental problems of Gaussian mean estimation and linear regression with
Gaussian covariates in the presence of Huber contamination. Our main contribution is the …

Theory of reflectionless scattering modes

WR Sweeney, CW Hsu, AD Stone - Physical Review A, 2020 - APS
We develop the theory of a special type of scattering state in which a set of asymptotic
channels is chosen as inputs, and the complementary set is chosen as outputs, and there is …