Aerodynamic forces render accurate high-speed trajectory tracking with quadrotors
extremely challenging. These complex aerodynamic effects become a significant …

Recently, emerging technologies have assisted the healthcare system in the treatment of a
wide range of diseases so considerably that the development of such methods has been …

This article provides a theory for provably safe and computationally efficient distributed
constrained control, and describes an application to a swarm of nano-quadrotors with limited …

In nature, when encountering unexpected uncertainty, animals tend to react quickly to
ensure safety as the top priority, and gradually adapt to it based on recent valuable …

This paper presents a technique to model the residual dynamics between a high-level
planner and a low-level controller by considering reference trajectory tracking in a cluttered …

The weak spots have been examined, a solution has been suggested, the solution has been
applied, and a comparison between the simulation and experimental test results has been …

This paper studies robust fuzzy model predictive control of discrete-time fuzzy Takagi-
Sugeno large-scale systems based on hierarchical optimization and H_∞ Performance. The …

This paper proposes a learning-based Model Predictive Control (MPC) strategy for mobile
robots. The strategy relies on Gaussian Process Regression (GPR) to improve the robot's …

Many Autonomous Underwater Vehicles (AUVs) need to cope with hazardous underwater
medium using a limited computational capacity while facing unknown kinematics and …

System dynamics identification significantly impacts trajectory tracking performance for
autonomous driving in a dynamic environment. In this paper, a multi-scenario learning …