Results 31 to 40 of about 1,317 (145)

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Modeling of Unmanned Aerial Vehicles for Smart Agriculture Systems Using Hybrid Fuzzy PID Controllers

Applied Sciences
Unmanned aerial vehicles have a wide range of uses in the military field, non-combat situations, and civil works. Due to their ease of operation, unmanned aerial vehicles (UAVs) are highly sought after by farmers and are considered the best agricultural ...
Sairoel Amertet, Girma Gebresenbet, Hassan Mohammed Alwan   +2 more
doaj   +1 more source

Fuzzy neural network PID control design of camellia fruit vibration picking manipulator

Journal of Agricultural Engineering, 2023
Due to the growth characteristics of the flowers and fruits of camellia in the same period, the vibrating camellia fruit picking machine needs to ensure the constant rotational speed of the vibrating hydraulic motor when the picking mechanism is ...
Ziyan Fan, Lijun Li, Zicheng Gao
doaj   +1 more source

Designing an Energy Storage System Fuzzy PID Controller for Microgrid Islanded Operation

Energies, 2011
Recently, interest in microgrids, which are composed of distributed generation (DG), distributed storage (DS), and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the
Jin-Hong Jeon, Hak-Man Kim, Seul-Ki Kim, Heung-Kwan Choi, Jong-Yul Kim   +4 more
doaj   +1 more source

Design of fuzzy PID controller for mine local ventilator optimized by improved genetic algorithm

Gong-kuang zidonghua, 2021
At present, the local ventilator control mainly uses traditional PID controllers. The parameters of the controller are fixed and selected based on experience.
HU Yelin, DENG Xiang, ZHENG Xiaoliang
doaj   +1 more source

Design and analysis of PID and fuzzy-PID controller for voltage control of DC microgrid [PDF]

2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), 2015
DC microgrids are desired to provide the electricity for the remote areas which are far from the main grid. The microgrid creates the open horizontal environment to interconnect the distributed generation especially photovoltaic (PV). The stochastic nature of the PV output power introduces the large fluctuations of the power and voltage in the ...
Rajeev Kumar Chauhan, Bharat Singh Rajpurohit, Robert E. Hebner, S. N. Singh, Francisco M. G. Longatt   +4 more
openaire   +1 more source

Dynamic, Unconstrained Optimization of Secreted Enzyme Production in Fed‐Batch Fermentation Using Reinforcement Learning

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Reinforcement learning (RL) has been used to control a wide range of dynamic processes, especially ones that are too complex to model well or have stochastic environmental perturbations. Fed‐batch fermentations are subject to changes in starting cell growth rates and process variations that can affect cell growth and secreted target production.
Sai Harish Uthravalli, Sakib Ferdous, J. Michael Hess, Nigel F. Reuel   +3 more
wiley   +1 more source

DESIGN FUZZY PID CONTROLLER FOR NONLINEAR SYSTEMS

Journal of Engineering and Sustainable Development, 2017
The Proportional, Integral, and Derivative (PID) controller is one of the most common controllers that is used by the industry. In nonlinear systems, the PID controller performance is weak unlike its performance with the linear systems which is very ...
Sami Abdulaziz Ali
doaj  

Motion planning and control of an installation robot for attitude adjustment of arc parts in underground shield tunneling

Deep Underground Science and Engineering, EarlyView.
Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao, Guofei Xiang, Liang Liao, Lai Wei, Hongli Wang, Songyi Dian   +5 more
wiley   +1 more source