Distributed consensus tracking control based on state and disturbance observations for mixed-order multi-agent mechanical systems
Y Wang, Y Liu, X Li, Y Liang - Journal of the Franklin Institute, 2023 - Elsevier
In this paper, we study the cooperative consensus control problem of mixed-order (also
called hybrid-order) multi-agent mechanical systems (MMSs) under the condition of …
called hybrid-order) multi-agent mechanical systems (MMSs) under the condition of …
Dyna-PPO reinforcement learning with Gaussian process for the continuous action decision-making in autonomous driving
G Wu, W Fang, J Wang, P Ge, J Cao, Y Ping, P Gou - Applied Intelligence, 2023 - Springer
Recent years have witnessed rapid development of autonomous driving. Model-based and
model-free reinforcement learning are two popular learning methods for autonomous …
model-free reinforcement learning are two popular learning methods for autonomous …
Composite control law for nonlinear systems with mismatched disturbances for a ball-ramp dual-clutch transmission
SB Choi - IEEE Transactions on Intelligent Transportation …, 2023 - ieeexplore.ieee.org
The dual-clutch transmission (DCT) was developed to increase the transmission efficiency
and the shift performance. However, in a DCT, due to uncertainty related to the actuator, the …
and the shift performance. However, in a DCT, due to uncertainty related to the actuator, the …
[PDF][PDF] Route Planning for Autonomous Transmission of Large Sport Utility Vehicle.
VA Vijayakumar, J Shanthini, S Karthik… - … Systems Science & …, 2023 - cdn.techscience.cn
The autonomous driving aims at ensuring the vehicle to effectively sense the environment
and use proper strategies to navigate the vehicle without the interventions of humans …
and use proper strategies to navigate the vehicle without the interventions of humans …
Online Learning Based Mobile Robot Controller Adaptation for Slip Reduction
Slip is a very common phenomena present in wheeled mobile robotic systems. It has
undesirable consequences such as wasting energy and impeding system stability. To tackle …
undesirable consequences such as wasting energy and impeding system stability. To tackle …
Utilizing past contact physics in robotic manipulation (eg, pushing) of an object
Utilization of past dynamics sample (s), that reflect past contact physics information, in
training and/or utilizing a neural network model. The neural network model represents a …
training and/or utilizing a neural network model. The neural network model represents a …