Online reinforcement learning with passivity-based stabilizing term for real time overhead crane control without knowledge of the system model
Due to the existing uncertainties such as the payload mass and unmodeled dynamics in the
overhead crane system, classical model-based control methods yielding fixed control gain …
overhead crane system, classical model-based control methods yielding fixed control gain …
Integrated Chassis Control for Multi-Axle Vehicles: A Comprehensive review
MSM Zakaria, ASP Singh… - International Journal of …, 2024 - journal.ump.edu.my
Multi-axle vehicles (MAVs) are used to transport heavy loads, navigate challenging terrain,
and perform specific tasks. However, designing vehicle control systems for such vehicles is …
and perform specific tasks. However, designing vehicle control systems for such vehicles is …
Payload pendulation and position control systems for an offshore container crane with adaptive‐gain sliding mode control
When container ports are not available for heavy ships, the offshore ship‐to‐ship transfer
operation is an alternative method to an inland container terminal. This process is performed …
operation is an alternative method to an inland container terminal. This process is performed …
Simulation research on vehicle handling and stability enhancement based on PID control technology
AA Ahmed, AA Ahmed, ASD Alarga… - … Conference on Power …, 2021 - ieeexplore.ieee.org
Yaw stability control is a critical component of lateral and longitudinal dynamics, allowing for
the improvement and evaluation of both vehicle handling and stability performance. A …
the improvement and evaluation of both vehicle handling and stability performance. A …
A novel steering control for real autonomous vehicles via PI adaptive dynamic programming
X Lu, S Tang, L Zhang, P Li, C Li… - 2019 chinese control …, 2019 - ieeexplore.ieee.org
A novel steering controller for autonomous vehicles is proposed in this paper. For
autonomous vehicles, the efficiency is an important indicator, in order to reduce the training …
autonomous vehicles, the efficiency is an important indicator, in order to reduce the training …
Passivity-Based Online Reinforcement Learning for Real Time Model-Free Overhead Crane System Control
In this paper, a novel model-free online Reinforcement Learning (RL) control method is
proposed for the real-time overhead crane control problem. The crane control problem is first …
proposed for the real-time overhead crane control problem. The crane control problem is first …
Position and swing angle control of nonlinear gantry crane system
Crane systems are widely used in logistics due to their efficiency of transportation. The major
control problem of gantry crane system is some oscillations while crying load to the desired …
control problem of gantry crane system is some oscillations while crying load to the desired …
Model predictive control–based approach for assist wheel control of a multi-axle crane to improve steering efficiency and dynamic stability
This research deals with assist wheel control to improve the steering efficiency and dynamic
stability of the multi-axle crane based on model predictive control. Since multi-axle crane …
stability of the multi-axle crane based on model predictive control. Since multi-axle crane …
Development of an Automatic Steering-Control Algorithm based on the MPC with a Disturbance Observer for All-Terrain Cranes
The steering systems of all-terrain cranes have been developed with various control
strategies for the stability and drivability. To optimally control the input steering angle, an …
strategies for the stability and drivability. To optimally control the input steering angle, an …
외란관측기를이용한모델예견기반의전지형크레인자동조향제어알고리즘개발
오광석， 서자호 - 드라이브· 컨트롤, 2017 - dbpia.co.kr
The steering systems of all-terrain cranes have been developed with various control
strategies for the stability and drivability. To optimally control the input steering angle, an …
strategies for the stability and drivability. To optimally control the input steering angle, an …