Results 251 to 260 of about 18,417,739 (315)

Deep Adaptive Control: Deep Reinforcement Learning-Based Adaptive Vehicle Trajectory Control Algorithms for Different Risk Levels

IEEE Transactions on Intelligent Vehicles
In this study, we explore the problem of adaptive vehicle trajectory control for different risk levels. Firstly, we introduce a sliding window-based car-following scenario extraction method, propose a new alternative traffic conflict assessment metric ...
Yi-xian He, Yang Liu, Lan Yang, Xiaobo Qu   +3 more
semanticscholar   +1 more source

Directional Control of Bifurcation into Targeted Trajectory

International Journal of Bifurcation and Chaos, 2015
The field of bifurcation control includes several classes of problems that are actively studied with various motivations and from different points of view. The different statements of the problem are articulated by defining various objectives of applying control to the system, depending on the motivation and the specific problem.
Vladimir Jacimovic, Nikola Konatar
openaire   +1 more source

Integrated Computation Offloading, UAV Trajectory Control, Edge-Cloud and Radio Resource Allocation in SAGIN

IEEE Transactions on Cloud Computing
In this article, we study the computation offloading problem in hybrid edge-cloud based space-air-ground integrated networks (SAGIN), where joint optimization of partial computation offloading, unmanned aerial vehicle (UAV) trajectory control, user ...
M. D. Nguyen, Long Bao Le, A. Girard
semanticscholar   +1 more source

Joint Optimization of Trajectory Control, Task Offloading, and Resource Allocation in Air-Ground Integrated Networks

IEEE Internet of Things Journal
In an air-ground integrated network (AGIN), low-altitude unmanned aerial vehicles (UAVs) and a high-altitude platform (HAP) operate synergistically to support computationally expensive and delay-critical applications of mobile ground devices (GDs).
Muhammad Morshed Alam, S. Moh
semanticscholar   +1 more source

Joint Trajectory Control, Frequency Allocation, and Routing for UAV Swarm Networks: A Multi-Agent Deep Reinforcement Learning Approach

IEEE Transactions on Mobile Computing
Collaborative unmanned aerial vehicle (UAV) swarm networks can effectively execute various emerging missions such as surveillance and communication coverage.
Muhammad Morshed Alam, S. Moh
semanticscholar   +1 more source

Horizontal trajectory control of stratospheric airships in wind field using Q-learning algorithm

, 2020
This paper proposes an adaptive horizontal trajectory control method for stratospheric airships in uncertain wind field using Q-learning algorithm. Firstly, horizontal trajectory control of the airships is decomposed into the target tracking, and the ...
Xiaowei Yang, Xixiang Yang, Xiao-long Deng   +2 more
semanticscholar   +1 more source

TLControl: Trajectory and Language Control for Human Motion Synthesis

European Conference on Computer Vision, 2023
Controllable human motion synthesis is essential for applications in AR/VR, gaming and embodied AI. Existing methods often focus solely on either language or full trajectory control, lacking precision in synthesizing motions aligned with user-specified ...
Weilin Wan, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman, Lingjie Liu   +5 more
semanticscholar   +1 more source

On the trajectories of controlled evolution inclusions

Commentarii mathematici Universitatis Sancti Pauli = Rikkyo Daigaku sugaku zasshi, 1990
The author studies a nonlinear controlled evolution inclusion with control constraints. The existence of optimal admissible pairs is established. Then the weak continuity of the solution is proved with respect to the control function. For linear problems the case of controlled coefficients is studied by means of the concept of \(G\)- convergence.
openaire   +3 more sources

Digital Implementation of Light-Load Efficiency Improvement for High-Frequency LLC Converters With Simplified Optimal Trajectory Control

IEEE Journal of Emerging and Selected Topics in Power Electronics, 2018
The light-load efficiency has drawn more and more attention for the LLC resonant converters in information technology industry. Burst mode is an effective and popular method to improve the light-load efficiency.
Chao Fei, Qiang Li, F. Lee
semanticscholar   +1 more source

Swing Trajectory Control for Large Excavators

2010
There is a strong push within the mining sector to automate equipment such as large excavators. A challenging problem is the control of motion on high inertia degrees of freedom where the actuators are constrained in the power they can deliver to and extract from the system and the machine’s underlying control system sits between the automation system ...
Denman, A., McAree, P.R., Kearney, M., Reid, A., Austin, K.   +4 more
openaire   +2 more sources