activity
20182021
most citedOptimal Controller and Actuator Design for Nonlinear Parabolic Systems

4 citations · 5 across the 3 of their papers we have counts for

collaborators

6 papers

math.OC2021

Optimal Prediction using Learning and Shape Optimization

M. Sajjad Edalatzadeh, Roland Herzog

This paper investigates the problem of optimal predictor design for distributed parameter systems using neural networks and shape optimization. Sensors with various shapes are plac…

cs.RO2020

Optimal Trajectory Planning for Flexible Robots with Large Deformation

M. Sajjad Edalatzadeh

Robot arms with lighter weight can reduce unnecessary energy consumption which is desirable in robotic industry. However, lightweight arms undergo undesirable elastic deformation.…

math.OC20201 cited

Shape Optimization of Actuators over Banach Spaces for Nonlinear Systems

M. Sajjad Edalatzadeh, Dante Kalise, Kirsten A. Morris +1

In this paper, optimal actuator shape for nonlinear parabolic systems is discussed. The system under study is an abstract differential equation with a locally Lipschitz nonlinear p…

math.OC20194 cited

Optimal Controller and Actuator Design for Nonlinear Parabolic Systems

M. Sajjad Edalatzadeh, Kirsten A. Morris

Many physical systems are modeled by nonlinear parabolic differential equations, such as the Kuramoto-Sivashinsky (KS) equation. In this paper, the existence of a concurrent optima…

math.AP2018

Stability and Well-posedness of a Nonlinear Railway Track Model

M. Sajjad Edalatzadeh, Kirsten A. Morris

Railway tracks rest on a foundation known for exhibiting nonlinear viscoelastic behavior. Railway track deflections are modeled by a semilinear partial differential equation. This…

math.OC2018

Optimal Actuator Design for Semi-linear Systems

M. Sajjad Edalatzadeh, Kirsten A. Morris

Actuator location and design are important choices in controller design for distributed parameter systems. Semi-linear partial differential equations model a wide spectrum of physi…