Digital-twins towards cyber-physical systems: a brief survey
A Parnianifard, S Jearavongtakul, P Sasithong… - Engineering …, 2022 - engj.org
Abstract Cyber-Physical Systems (CPS) are integrations of computation and physical
processes. Physical processes are monitored and controlled by embedded computers and …
processes. Physical processes are monitored and controlled by embedded computers and …
Optimal fractional-order PID control design for time-delayed multi-input multi-output seismic-excited structural system
The application of the fractional-order PID (FOPID) controller is recently becoming a topic of
research interest for vibration control of structures. Some researchers have successfully …
research interest for vibration control of structures. Some researchers have successfully …
A data driven approach in less expensive robust transmitting coverage and power optimization
This paper aims the development of a new reduced-cost algorithm for a multi-objective
robust transmitter placement under uncertainty. Toward this end, we propose a new hybrid …
robust transmitter placement under uncertainty. Toward this end, we propose a new hybrid …
Designing Decentralized Multi-Variable Robust Controllers: A Multi-Objective Approach Considering Nearly Optimal Solutions
This article presents a new methodology for designing a robust, decentralized control
structure that considers stochastic parametric uncertainty and uses a multi-objective …
structure that considers stochastic parametric uncertainty and uses a multi-objective …
[HTML][HTML] Enhancing stability and position control of a constrained magnetic levitation system through optimal fractional-order PID controller
A Mughees, N Mughees, A Mughees, SA Mohsin… - Alexandria Engineering …, 2024 - Elsevier
Magnetic levitation systems are complex and nonlinear, requiring sophisticated control
methods to maintain the stability and position of the levitated object. This research presents …
methods to maintain the stability and position of the levitated object. This research presents …
New adaptive surrogate-based approach combined swarm optimizer assisted less tuning cost of dynamic production-inventory control system
A Parnianifard, V Rezaie, S Chaudhary… - IEEE …, 2021 - ieeexplore.ieee.org
Today, most manufacturing control systems are complex and expensive, so they are limited
to employ a small number of function evaluations for optimal design. Yet, looking for …
to employ a small number of function evaluations for optimal design. Yet, looking for …
Robust design of fractional order IMC controller for fractional order processes with time delay
K Gnaneshwar, R Trivedi… - International Journal of …, 2022 - Wiley Online Library
This article presents a novel approach to the robust design of fractional order IMC controller
for the fractional‐order (FO) plus time delay processes. The proposed methodology provides …
for the fractional‐order (FO) plus time delay processes. The proposed methodology provides …
Hybrid metamodeling/metaheuristic assisted multi-transmitters placement planning
With every passing day, the demand for data traffic is increasing, and this urges the research
community not only to look for an alternating spectrum for communication but also urges …
community not only to look for an alternating spectrum for communication but also urges …
Comparative Analysis of Evolutionary Algorithms for PID Controller Optimization in Pneumatic Soft Robotic Systems: A Simulation and Experimental Study
MM Massoud, J Libby - IEEE Access, 2024 - ieeexplore.ieee.org
The control of soft elastomeric actuators via pneumatic systems presents challenges due to
system nonlinearities and oscillatory behavior. The control of soft robotics is an …
system nonlinearities and oscillatory behavior. The control of soft robotics is an …
A new approach for data-driven surrogate modelling applied in highly nonlinear engineering functions
A Parnianifard, A Sharma… - Journal of Statistical …, 2024 - Taylor & Francis
A data-driven surrogate mimics the behavior of a black-box simulation model using selected
input-output data points. Highly nonlinear models challenge many surrogate techniques in …
input-output data points. Highly nonlinear models challenge many surrogate techniques in …