Autonomous or semi-autonomous driving constitutes an important business case to the
trucking industry. To realize its full potential it is mandatory to enable autonomous or semi …

Robotic systems are crucial for increasing productivity, automation and to perform
dangerous tasks. However, the complexity and unpredictability of physical systems requires …

This thesis proposes a minimum viable vision-based autonomous vehicle (AV) platform,
which is hybridized with remote human intervention to achieve a more sustainable AV …

This thesis proposes a minimum viable vision-based autonomous vehicle (AV) platform,
which is hybridized with remote human intervention to achieve a more sustainable AV …

In this paper, attitude tracking control problem for a flexible satellite with torque constraints is
investigated. Model Predictive Controller (MPC) is designed to investigate performance and …

There has been much interest in self-driving vehicles due to their potential to reduce road
accidents and transform people's lives. Increasing embedded computing capabilities …

The Unmanned Underwater Vehicle (UUV) is an important tool to explore, develop and
utilize the ocean. The essence of its motion control is the nonlinear control problem. With the …

In this project, a Nonlinear Model Predictive Control (NMPC) algorithm was programmed for
rapid-prototyping of this kind of controllers in a simulation environment. Based on FALCON …

With the rapid development of smart cities, there is a growing need to integrate the physical
systems, ranging from large-scale infrastructures to small embedded systems, with …

본 고에서는 임베디드 예측제어의 역사와 함께 임베디드 예측제어 설계에서 고려해야 할
사항들과 응용 분야에 대한 전망을 소개한다. 임베디드 프로세서의 연산 능력과 기능이 …