Effect of sugarcane bagasse and alumina reinforcements on physical, mechanical, and thermal characteristics of epoxy composites using artificial neural networks …

GR Arpitha, H Mohit, P Madhu, A Verma - Biomass Conversion and …, 2024‏ - Springer
In this study, the reinforcing effect of sugarcane bagasse and alumina micro-fillers on epoxy
polymer composites' physical, mechanical, and thermal characteristics is reported. The …

Iterative parameter and order identification for fractional‐order nonlinear finite impulse response systems using the key term separation

J Wang, Y Ji, C Zhang - … Journal of Adaptive Control and Signal …, 2021‏ - Wiley Online Library
This article considers the parameter estimation for a fractional‐order nonlinear finite impulse
response system with colored noise. For the fractional‐order systems, the challenge and …

Efficient DOA estimation method for reconfigurable intelligent surfaces aided UAV swarm

P Chen, Z Chen, B Zheng… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
The conventional direction of arrival (DOA) estimation methods are performed with multiple
receiving channels. In this paper, a changeling DOA estimation problem is addressed in a …

An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management

N Mohamadi, STA Niaki, M Taher… - Engineering Applications of …, 2024‏ - Elsevier
This article delves into the challenging supply chain management domain, explicitly
addressing the intricate issue of perishable inventory allocation within a two-echelon supply …

Additive manufacturing of recycled plastics: Strategies towards a more sustainable future

H Wu, H Mehrabi, P Karagiannidis, N Naveed - Journal of Cleaner …, 2022‏ - Elsevier
Materials recycling and additive manufacturing (AM) present challenges and great
opportunities in plastic industries. The rapid developments in AM are transforming the …

MOGBO: A new Multiobjective Gradient-Based Optimizer for real-world structural optimization problems

M Premkumar, P Jangir, R Sowmya - Knowledge-Based Systems, 2021‏ - Elsevier
To handle the multiobjective optimization problems of truss-bar design, this paper introduces
a new metaheuristic multiobjective optimization algorithm. The proposed algorithm is based …

Performance enhancement of meta-heuristics through random mutation and simulated annealing-based selection for concurrent topology and sizing optimization of …

S Kumar, GG Tejani, N Pholdee, S Bureerat - Soft Computing, 2022‏ - Springer
The present investigation includes the performance enhancement concept of discrete meta-
heuristics (MHs) for truss design with concurrent size and topology optimization. The five …

Design of PI controller for a class of discrete cascade control systems

Z Du, F Yufan, X Yang, J Li - IEEE Transactions on Automation …, 2022‏ - ieeexplore.ieee.org
This paper mainly studies the modeling, stability analysis and proportional-integral (PI)
controller design for a class of discrete-time cascade control systems (CCSs). In the existing …

Adaptive fuzzy backstep** control for nonstrict feedback nonlinear systems with time-varying state constraints and backlash-like hysteresis

Y Liu, Q Zhu, N Zhao, L Wang - Information Sciences, 2021‏ - Elsevier
In this article, an adaptive fuzzy tracking control method is established for nonstrict feedback
nonlinear systems (NFNS) with time-varying state constraints and backlash-like hysteresis …

Design and experimental validation of an adaptive fast-finite-time observer on uncertain electro-hydraulic systems

H Razmjooei, G Palli, E Abdi, M Terzo… - Control Engineering …, 2023‏ - Elsevier
This paper presents the design of an adaptive fast-finite-time extended state observer for
electro-hydraulic actuator systems. First, the system model is divided into three parts, and …