Semi-definite relaxation-based ADMM for cooperative planning and control of connected autonomous vehicles
This paper investigates the cooperative planning and control problem for multiple connected
autonomous vehicles (CAVs) in different scenarios. In the existing literature, most of the …
autonomous vehicles (CAVs) in different scenarios. In the existing literature, most of the …
Drone trajectory segmentation for real-time and adaptive time-of-flight prediction
This paper presents a method developed to predict the flight-time employed by a drone to
complete a planned path adopting a machine-learning-based approach. A generic path is …
complete a planned path adopting a machine-learning-based approach. A generic path is …
Modeling crossing behaviors of E-bikes at intersection with deep maximum entropy inverse reinforcement learning using drone-based video data
The crossing behaviors modeling of non-networked road users can improve Connected and
Autonomous Vehicles (CAVs)'s awareness of the imminent hazards in shared space while …
Autonomous Vehicles (CAVs)'s awareness of the imminent hazards in shared space while …
Time-optimal path planning and tracking based on nonlinear model predictive control and its application on automatic berthing
Autonomous shipping has been identified as the way forward in maritime transport. There
are numerous technologies being developed over the past decades for maritime …
are numerous technologies being developed over the past decades for maritime …
Risk-aware trajectory sampling for quadrotor obstacle avoidance in dynamic environments
Obstacle avoidance of quadrotors in dynamic environments is still a very open problem.
Current works commonly leverage traditional static maps to represent static obstacles, and …
Current works commonly leverage traditional static maps to represent static obstacles, and …
Fuzzy-based controller synthesis and optimization for underactuated mechanical systems with nonholonomic servo constraints
This article investigates the trajectory tracking problem of underactuated mechanical
systems (UMSs) with companion nonholonomic servo constraints and uncertainties. For …
systems (UMSs) with companion nonholonomic servo constraints and uncertainties. For …
Nonlinear Model Predictive Control of J2-perturbed impulsive transfer trajectories in long-range rendezvous missions
S Samsam, R Chhabra - Aerospace Science and Technology, 2023 - Elsevier
This paper develops a Nonlinear Model Predictive Control (NMPC) strategy for robust
tracking of multi-impulse smooth transfer trajectories in J 2-perturbed orbital environments …
tracking of multi-impulse smooth transfer trajectories in J 2-perturbed orbital environments …
Robust Adaptive Tracking Control for Uncertain Five-Bar Parallel Robot Using Fuzzy CMAC in Order to Improve Accuracy
TQ Ngo, TH Tran, TTH Le - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
Parallel robot systems are increasingly important and widely applied due to their superior
advantages such as high speed and accuracy. To improve the accuracy of these systems …
advantages such as high speed and accuracy. To improve the accuracy of these systems …
Adaptive robust controller using intelligent uncertainty observer for mechanical systems under non-holonomic reference trajectories
X Chen, W Liang, H Zhao, A Al Mamun - ISA transactions, 2022 - Elsevier
Non-holonomic reference trajectories and uncertainties are typically encountered in a class
of mechanical systems. For such systems, this paper investigates the development of a …
of mechanical systems. For such systems, this paper investigates the development of a …
Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications
The multiple-choice knapsack problem (MCKP) is a classic NP-hard combinatorial
optimization problem. Motivated by several significant real-world applications, this work …
optimization problem. Motivated by several significant real-world applications, this work …