Multiple hypersonic gliding vehicles’ (HGVs’) formation control problems with obstacle and collision avoidance are investigated in this paper, which is addressed in the stage of entry gliding. The originality of this paper stems from the formation control algorithm where constraints of dynamic pressure, heating rate, total aerodynamic load, control inputs, collision avoidance, obstacle avoidance, and the terminal states are considered simultaneously. The algorithm implements a control framework designed to be of two terms: distributed virtual controller and actual control input solver. The distributed virtual controller is based on distributed model predictive control with synchronous update strategy, where the virtual control signals are d...
This paper presents a distributed method for formation control of a homogeneous team of aerial or gr...
Cooperative control methods that are scalable with low computational cost are crucial for networked ...
This dissertation presents new results on multi-agent formation control and applies the new control ...
This paper investigates the formation control problem of multiple unmanned aerial vehicles (UAVs) wi...
A new approach for formation flight control of multiple aircraft is presented. Constraint forces are...
This work presents a distributed model predictive control strategy for generating collision-free poi...
A computationally sufficient technique is used to solve the 3-D cooperative re-entry guidance proble...
Cooperative control is crucial for networked dynamical systems, such as unmanned aerial vehicles in ...
An analytical and experimental framework addressing formation control of multirotor aircraft with co...
Abstract: This paper deals with formation control strategies based on Virtual Structure (VS) for mul...
In this paper, we investigate the formation control of multiple unmanned aerial vehicles (UAVs), spe...
In this paper, we investigate the formation control of multiple unmanned aerial vehicles (UAVs), spe...
In this study, the distributed consensus control and model predictive control (MPC)-based formation ...
This paper presents a novel approach to obstacle avoidance for a group of robots moving in formation...
International audienceThis paper presents a control architecture for safe and smooth navigation of a...
This paper presents a distributed method for formation control of a homogeneous team of aerial or gr...
Cooperative control methods that are scalable with low computational cost are crucial for networked ...
This dissertation presents new results on multi-agent formation control and applies the new control ...
This paper investigates the formation control problem of multiple unmanned aerial vehicles (UAVs) wi...
A new approach for formation flight control of multiple aircraft is presented. Constraint forces are...
This work presents a distributed model predictive control strategy for generating collision-free poi...
A computationally sufficient technique is used to solve the 3-D cooperative re-entry guidance proble...
Cooperative control is crucial for networked dynamical systems, such as unmanned aerial vehicles in ...
An analytical and experimental framework addressing formation control of multirotor aircraft with co...
Abstract: This paper deals with formation control strategies based on Virtual Structure (VS) for mul...
In this paper, we investigate the formation control of multiple unmanned aerial vehicles (UAVs), spe...
In this paper, we investigate the formation control of multiple unmanned aerial vehicles (UAVs), spe...
In this study, the distributed consensus control and model predictive control (MPC)-based formation ...
This paper presents a novel approach to obstacle avoidance for a group of robots moving in formation...
International audienceThis paper presents a control architecture for safe and smooth navigation of a...
This paper presents a distributed method for formation control of a homogeneous team of aerial or gr...
Cooperative control methods that are scalable with low computational cost are crucial for networked ...
This dissertation presents new results on multi-agent formation control and applies the new control ...