Optimal control of an energy-storage system in a microgrid for reducing wind-power fluctuations
In conventional low-voltage grids, energy-storage devices are mainly driven by final
consumers to correct peak consumption or to protect against sources of short-term breaks …
consumers to correct peak consumption or to protect against sources of short-term breaks …
[HTML][HTML] Critical study of type-2 fuzzy logic control from theory to applications: A state-of-the-art comprehensive survey
The review systematically explores the theoretical foundations of type-2 fuzzy sets and the
associated mathematical frameworks of the advancements in type-2 fuzzy logic systems (T2 …
associated mathematical frameworks of the advancements in type-2 fuzzy logic systems (T2 …
A new model predictive control method for buck-boost inverter-based photovoltaic systems
This study designed a system consisting of a photovoltaic system and a DC-DC boost
converter with buck-boost inverter. A multi-error method, based on model predictive control …
converter with buck-boost inverter. A multi-error method, based on model predictive control …
A new intelligent dynamic control method for a class of stochastic nonlinear systems
This paper presents a new method for a comprehensive stabilization and backstep**
control system design for a class of stochastic nonlinear systems. These types of systems …
control system design for a class of stochastic nonlinear systems. These types of systems …
Machine-learning-based improved smith predictive control for MIMO processes
Controlling time-delayed processes is one of the challenges in today's process industries. If
the multi-input/multi-output system is dynamically coupled, the delay problem becomes more …
the multi-input/multi-output system is dynamically coupled, the delay problem becomes more …
An imbalance-aware deep neural network for early prediction of preeclampsia
Preeclampsia (PE) is a hypertensive complication affecting 8-10% of US pregnancies
annually. While there is no cure for PE, aspirin may reduce complications for those at high …
annually. While there is no cure for PE, aspirin may reduce complications for those at high …
[PDF][PDF] Investigation of chaotic behavior and adaptive type-2 fuzzy controller approach for Permanent Magnet Synchronous Generator (PMSG) wind turbine system
Investigation of chaotic behavior and adaptive type-2 fuzzy controller approach for Permanent
Magnet Synchronous Generator (PMSG Page 1 AIMS Mathematics, 8(3): 5670–5686. DOI …
Magnet Synchronous Generator (PMSG Page 1 AIMS Mathematics, 8(3): 5670–5686. DOI …
Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants
P Mohindru - Artificial Intelligence Review, 2024 - Springer
The chemical production process is tedious due to the integration of different types of
equipment and variables. Designing the controller is crucial in the chemical industry due to …
equipment and variables. Designing the controller is crucial in the chemical industry due to …
Trapezoidal interval type-2 fuzzy PIPRECIA-MARCOS model for management efficiency of traffic flow on observed road sections
Road infrastructure management is an extremely important task of traffic engineering. For
the purpose of efficient management, it is necessary to determine the efficiency of the traffic …
the purpose of efficient management, it is necessary to determine the efficiency of the traffic …
Optimization of X-axis servo drive performance using PSO fuzzy control technique for double-axis dicing saw
W Cao, P Zhang, Q Mi, Y Sun, J Shi, W Liang - Scientific Reports, 2023 - nature.com
The dicing saw is a critical piece of equipment in IC processing, primarily used to cut wafers.
Due to the high spindle speed, even small errors in the cutting process can result in wafer …
Due to the high spindle speed, even small errors in the cutting process can result in wafer …