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 …
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 …
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 …
Linear matrix inequalities (LMIs) commonly appear in systems, stability, and control applications. Many analysis and synthesis problems in these areas can be solved as …
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 …
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 …
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 …
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 …
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 …