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Voltage Regulation in a Buck Converter for an Unknown CPL: An Extended Feedback Control Design
(Cartagena de Indias, 2023-03-03)
This paper deals with the problem of the output voltage regulation in a buck converter for an unknown constant power terminal (CPL) which generates a nonlinear dynamical model that requires an efficient control technique. ...
Sensitivity analysis and parameter estimation of heat transfer and material flow models in Friction Stir Welding
(Universidad Federal de Sao Carlos, 2014-11)
Although numerical models of heat transfer and material flow have contributed to understand the underlying mechanisms of friction stir welding (FSW), there are certain input model parameters that can not be easily determined. ...
Reducing the allowable kinetic space by constructing ensemble of dynamic models with the same steady-state flux
(Elsevier, 2011-01)
Dynamic models of metabolism are instrumental for gaining insight and predicting possible outcomes of perturbations. Current approaches start from the selection of lumped enzyme kinetics and determine the parameters within ...
Learning-by-employing: the value of commitment
(2010-06-24)
We analyze a dynamic principal–agent model where an infinitely-lived principal faces a sequence of finitely-lived agents who differ in their ability to produce output. The ability of an agent is initially unknown to both ...
Neural Adaptive quantized output-feedback control- based synchronization of uncertain time-delay incommensurate fractionalorder chaotic systems with input nonlinearities
research is concerned with the problem of generalized function projective
synchronization of nonlinear uncertain time-delay incommensurate fractional-order
chaotic systems with input nonlinearities. The considered problem ...
A Nonlinear Problem Depending on the Unknown Dirichlet Values of the Solution
(Springer, 2010-04)
A Neumann boundary value problem for a general two ion electro-diffusion model is studied. Unlike classical second order Neumann problems, the nonlinear equation considered in this work has the particularity that it depends ...
Dynamics of Evolution and Learning
The book develops a unifying perspective on how learning influences evolutionary dynamics which for the first time explains seemingly contradicting results from the literature. It also reveals formerly unknown facets of ...
Evolving Granular Fuzzy Model-based Control Of Nonlinear Dynamic Systems
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2015)
Kernel learning for robust dynamic mode decomposition: linear and nonlinear disambiguation optimization
(Royal Soc Chemistry, 2022)
Research in modern data-driven dynamical systems is typically focused on the three key challenges of high dimensionality, unknown dynamics and nonlinearity. The dynamic mode decomposition (DMD) has emerged as a cornerstone ...