Chimp optimization‐based fuzzy controller for hybrid electric vehicle speed control using electronic throttle plate
S Tripathi, A Shrivastava… - … Control Applications and …, 2024 - Wiley Online Library
Today's concern about climate change and the country's economic growth have made
adopting hybrid electric vehicles (HEV) a worthy solution. Since the gas emissions of HEVs …
adopting hybrid electric vehicles (HEV) a worthy solution. Since the gas emissions of HEVs …
Adaptive decentralized fuzzy compensation control for large optical mirror processing systems
Z Jin, Z Yin, S Peng, Y Liu - … Robot: the international journal of robotics …, 2024 - emerald.com
Purpose Large optical mirror processing systems (LOMPSs) consist of multiple subrobots,
and correlated disturbance terms between these robots often lead to reduced processing …
and correlated disturbance terms between these robots often lead to reduced processing …
Neural network analysis of the productivity of biogas plants for small agricultural enterprises
D Klyosov, V Lomazov, I Miroshnichenko… - E3S Web of …, 2024 - e3s-conferences.org
The article is devoted to the problem of assessing the productivity of biogas plants. The aim
of the work is to build intelligent tools for evaluating the performance of biogas plants by …
of the work is to build intelligent tools for evaluating the performance of biogas plants by …
Parameter optimization of type II fuzzy sliding mode control for bridge crane systems based on improved grey wolf algorithm
Z Sun, Z Sun, X Xie, Z Sun - Optimal Control Applications and Methods - Wiley Online Library
Bridge cranes are complex nonlinear dynamic systems with underactuated characteristics,
making it challenging for controllers to man age the spatial swing of the load effectively …
making it challenging for controllers to man age the spatial swing of the load effectively …
[PDF][PDF] Virtual Development of Maximum Torque per Ampere by ANFIS with PI-Based Induction Motor Drive
GM Rao - International Journal of Control Systems and Robotics, 2023 - iaras.org
This study established an innovative method for controlling the induction motor drive using a
neural network with a fuzzy inference (ANFIS) with the help of the modeling of the machine …
neural network with a fuzzy inference (ANFIS) with the help of the modeling of the machine …
Virtual Development of Maximum Torque Per Ampere by ANFIS with PI-Based Induction Motor Drive
RS Kumar, MV Karthik, GM Rao, CR Babu… - … on Sustainable Energy …, 2023 - Springer
Based on machine modeling, this study developed an original approach for regulating the
speed of the induction motor drive using a neural network and fuzzy inference (ANFIS) …
speed of the induction motor drive using a neural network and fuzzy inference (ANFIS) …