Model Predictive Control for Autonomous Navigation Using Embedded Graphics Processing Unit
نویسندگان
چکیده
منابع مشابه
Autonomous Helicopter Formation using Model Predictive Control
Formation flight is the primary movement technique for teams of helicopters. However, the potential for accidents is greatly increased when helicopter teams are required to fly in tight formations and under harsh conditions. The starting point for safe autonomous flight formations is to design a distributed control law attenuating external disturbances coming into a formation, so that each vehi...
متن کاملPredictive autonomous robot navigation
This paper considers the problem of a robot navigating in a crowded or congested environment. A robot operating in such an environment can get easily blocked by moving humans and other objects. To deal with this problem it is proposed to attempt to predict the motion trajectory of humans and obstacles. Two kinds of prediction are considered: short-term and long-term. The short-term prediction r...
متن کاملUsing Model Predictive Control for Local Navigation of Mobile Robots
Model predictive control, MPC, has many interesting features for its application to mobile robot control. It is a more effective advanced control technique, as compared to the standard PID control, and has made a significant impact on industrial process control (Maciejowski, 2002). MPC usually contains the following three ideas: • The model of the process is used to predict the future outputs a...
متن کاملModel predictive control for autonomous underwater vehicle
Research on the autonomous underwater vehicles (AUVs) has been gaining more interest in the recent past. AUVs have been envisioned as a cost effective and safe solution for various underwater missions including but are not limited to underwater scientific test-bed, deep oceanic surveillance, environmental monitoring and underwater structures inspection. The control for such autonomous vehicles,...
متن کاملParallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
There are different variants of Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging Leader and Challengers (ALC-PSO). These algorithms improve the performance of PSO in terms of finding the best solution and accelerating the convergence speed. However, these algorithms are computationally intensive. The go...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2017
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2017.08.1415