This chapter reviews standard parameter estimation techniques and presents a novel
gradient-, ensemble-, adjoint-free data-driven parameter estimation technique in the DDDAS …

Strongly contracting dynamical systems have numerous properties (eg, incremental ISS),
find widespread applications (eg, in controls and learning), and their study is receiving …

This paper presents a model-free iterative learning control (ILC) scheme for multi-objective
temperature control in Selective Laser Melting (SLM). The goal is to ensure that while …

An iterative learning algorithm is presented for continuous-time linear-quadratic optimal
control problems where the system is externally symmetric with unknown dynamics. Both …

This chapter reviews standard parameter-estimation techniques and presents a novel
gradient-, ensemble-, adjoint-free data-driven parameter estimation technique in the DDDAS …

Abstract Rudolf Emil Kalman was a Hungarian-American electrical engineer and
mathematician who revolutionized the field of control theory by introducing advanced …

Networks are ubiquitous in natural and engineered systems, from critical infrastructures (like
power grids and water distribution systems) to contact networks in epidemiological models …

Additive Manufacturing (AM) techniques are quickly becoming attractive for fabricating parts
ranging from biological tissues to aircraft components. A key challenge in these techniques …