Design and Optimization of an Eco-Efficient Vehicle Routing Model for Heterogeneous Fleets and Multi Depot Systems
In the dynamic landscape of vehicle routing problems (VRP), the traditional focus on cost
minimization has significantly evolved due to the pressing need to address environmental …
minimization has significantly evolved due to the pressing need to address environmental …
An optimal PID controller for a biped robot walking on flat terrain using MCIWO algorithms
The design of appropriate controller plays an important role in achieving the dynamically
balanced gaits of the biped robot. The present paper deals with the tuning of gains (K p, K d …
balanced gaits of the biped robot. The present paper deals with the tuning of gains (K p, K d …
Machine Learning in Drug Discovery: Methods, Applications, and Challenges
In recent times, the pharmaceutical industry has leveraged cutting‐edge technologies to
gather insights from intricate biological systems. Advances in technology have spurred a …
gather insights from intricate biological systems. Advances in technology have spurred a …
PID tuning of chopper fed speed control of DC motor based on ant colony optimization algorithm
BA Kouassi, Y Zhang, S Ouattara… - 2019 IEEE 3rd …, 2019 - ieeexplore.ieee.org
Problems of optimization are very important for both the worlds of sciences and industry.
Owing to their practicality such as tiny dimensions, velocity, lower building costs, safety …
Owing to their practicality such as tiny dimensions, velocity, lower building costs, safety …
Design and implementation of a preemptive disturbance rejection controller for PEM fuel cell air-feed system subject to load changes
The paper focuses on the control of air feed system on the PEM fuel cell subject to load
changes. For this purpose, a robust regulatory controller (termed as Robustness Tracking …
changes. For this purpose, a robust regulatory controller (termed as Robustness Tracking …
Implementation of ACO tuned modified PI-like position and speed control of DC motor: an application to electric vehicle
G Mani - Soft Computing for Problem Solving: SocProS 2018 …, 2019 - Springer
The modified PI-like control scheme has been derived from classic Internal Model Control
(IMC), having two tuning parameters namely controller gain K c and reset time τ I. The …
(IMC), having two tuning parameters namely controller gain K c and reset time τ I. The …
Embedded low power analog CMOS fuzzy logic controller chip for industrial applications
The paper presents an analog low power CMOS fuzzy logic controller (FLC) chip
implementation and its application to an industrial chemical reactor. This approach employs …
implementation and its application to an industrial chemical reactor. This approach employs …
[PDF][PDF] Control of PWR nuclear reactor power using soft computing techniques based proportional-integral-derivative design
M Vadivel, R Karthigaivel… - International Journal of …, 2014 - researchgate.net
Robustness and sensitivity are the main issue while designing the controller for large non-
linear systems such as nuclear power plant (NPP). Since NPPs are nonlinear andcomplex in …
linear systems such as nuclear power plant (NPP). Since NPPs are nonlinear andcomplex in …
Proficient Optimization for Precise control of Rehabilitation Robots using Machine Learning Algorithms: PSO and Firefly Comparison
Diversified techniques have been applied in many research papers for the optimization of
rehabilitation robotic movements in order to maintain smoothness and accuracy. Smooth …
rehabilitation robotic movements in order to maintain smoothness and accuracy. Smooth …
[PDF][PDF] Using Machine Learning Algorithms to Predict Steam-Assisted Flare Performance
M Pandiyan, J Stolzman, M Wooldridge - researchgate.net
Abstract The United States Environmental Protection Agency (EPA) reports that 32% of
global methane emissions originate from the oil and gas industry. Current EPA regulations …
global methane emissions originate from the oil and gas industry. Current EPA regulations …