Intelligent PID Controller Based on Neural Network for AI-Driven Control Quadcopter UAV
Nur Hayati Sahrir +1 more
openalex +1 more source
Social Sustainability in Circular Bioeconomy Business Models: Insights From Argentina
ABSTRACT Research on circular bioeconomy business models (CBEBM) has largely prioritised environmental and economic aspects, leaving out the social pillar. To address this gap, this paper analyses to what extent and in what ways social sustainability is integrated into CBEBM, based on 12 cases from northern Argentina, a region with high potential for ...
Celina N. Amato +2 more
wiley +1 more source
Optimizing actual PID control for walking quadruped soft robots using genetic algorithms. [PDF]
Meng H, Zhang S, Zhang W, Ren Y.
europepmc +1 more source
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
PID control algorithm based on multistrategy enhanced dung beetle optimizer and back propagation neural network for DC motor control. [PDF]
Kong W +6 more
europepmc +1 more source
AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system
Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang +6 more
wiley +1 more source
Single Neural Adaptive PID Control for Small UAV Micro-Turbojet Engine. [PDF]
Tang W, Wang L, Gu J, Gu Y.
europepmc +1 more source
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li +3 more
wiley +1 more source
A new cooperative control solution of subway BAS: an improved fuzzy PID control algorithm. [PDF]
Fang H +6 more
europepmc +1 more source

