A Matching Pursuit Algorithm Approach to Chaser-Target Formation Flying Problems

Massioni, Paolo; Ankersen, Finn; Verhaegen, Michel

doi:10.1109/tcst.2011.2130526

Cited by 7 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides applied to missile control, the algorithm is applied to the mobile robot is done by Dias et al [14]. Besides apply in the aircraft, the algorithm is examined by Massioni et al, [15] used in pursuing agent for formation. 2865 This paper presents pursuit algorithm which has been previously mentioned by the researchers to be applied to the trash can robots that is able to pursue and pick up garbage that has fallen on floor.…”

Section: Pursuit Algorithmmentioning

confidence: 99%

Pursuit Algorithm for Robot Trash Can Based on Fuzzy-Cell Decomposition

Tunggal¹,

Supriyanto²,

Rochman³

et al. 2016

IJECE

View full text Add to dashboard Cite

Scooby Smart Trash can is a trash can equipped with artificial intelligence algorithms that is able to capture and clean up garbages thrown by people who do not care about the environment. The can is called smart because it acts like scoobydoo in a children's cartoon in that the can will react if there is garbage thrown and it catches and cleans them up. This paper presents pursuit algorithm that uses cell decomposition algorithm in which algorithms are used to create a map of the robot's path and fuzzy algorithm as one of the artificial intelligence algorithm for robot path planning. By using the combined algorithms, the robot is able to pursuit and chases the trash carelessly discarded, but it has not been able to find the shortest distance. Therefore, this paper considers a second modification of the algorithm by adding a potential field algorithm used to add weight values on the map, so that the robot can pursue trash by finding the shortest path. The proposed algorithm shows that the robot can avoid obstacles and find the shortest path so that the time required to get to the destination point is fast.

show abstract

Section: Pursuit Algorithmmentioning

confidence: 99%

Pursuit Algorithm for Robot Trash Can Based on Fuzzy-Cell Decomposition

Tunggal¹,

Supriyanto²,

Rochman³

et al. 2016

IJECE

View full text Add to dashboard Cite

show abstract

Section: Pursuit Algorithmmentioning

confidence: 99%

Pursuit Algorithm for Robot Trash Can Based on Fuzzy-Cell Decomposition

Tunggal

Supriyanto

Rochman

et al. 2016

IJECE

View full text Add to dashboard Cite

<p>Scooby Smart Trash can is a trash can equipped with artificial intelligence algorithms that is able to capture and clean up garbages thrown by people who do not care about the environment. The can is called smart because it acts like scoobydoo in a children's cartoon in that the can will react if there is garbage thrown and it catches and cleans them up. This paper presents pursuit algorithm that uses cell decomposition algorithm in which algorithms are used to create a map of the robot's path and fuzzy algorithm as one of the artificial intelligence algorithm for robot path planning. By using the combined algorithms, the robot is able to pursuit and chases the trash carelessly discarded, but it has not been able to find the shortest distance. Therefore, this paper considers a second modification of the algorithm by adding a potential field algorithm used to add weight values on the map, so that the robot can pursue trash by finding the shortest path. The proposed algorithm shows that the robot can avoid obstacles and find the shortest path so that the time required to get to the destination point is fast.</p>

show abstract

“…It turns out that in the case of orthogonal vectoring, fuel consumption is directly proportional to the ℓ 1 norm of the control sequence and the ℓ 2 /ℓ 1 norm in the case of thrust vectoring [5,6]. The authors of [7] use matching pursuit and orthogonal matching pursuit algorithms to generate (approximations) of the sparsest control sequences (that is, control sequences comprised of the smallest possible number of non-zero elements) which will keep the output tracking error within certain bounds for a given reference signal. The approach in [7] requires that a reference trajectory is known and in addition, the terminal time is assumed to be free.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [7] use matching pursuit and orthogonal matching pursuit algorithms to generate (approximations) of the sparsest control sequences (that is, control sequences comprised of the smallest possible number of non-zero elements) which will keep the output tracking error within certain bounds for a given reference signal. The approach in [7] requires that a reference trajectory is known and in addition, the terminal time is assumed to be free. Numerical methods that are based on the primer vector theory are presented in [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Minimum-fuel Spacecraft Rendezvous based on Sparsity Promoting Optimization

Zinage¹,

Bakolas²

2021

Preprint

View full text Add to dashboard Cite

In this paper, we consider the classical spacecraft rendezvous problem in which the so-called active spacecraft has to approach the target spacecraft which is moving in an elliptical orbit around a planet by using the minimum possible amount of fuel. Instead of using standard convex optimization tools which can be computationally expensive, we use modified versions of the Iteratively Reweighted Least Squares (IRLS) algorithm from compressive sensing to compute sparse optimal control sequences which minimize the fuel consumption for both thrust vectoring and orthogonal vectoring (active) spacecraft. Numerical simulations are performed to verify the efficacy of our approach.

show abstract

A Matching Pursuit Algorithm Approach to Chaser-Target Formation Flying Problems

Cited by 7 publications

References 5 publications

Pursuit Algorithm for Robot Trash Can Based on Fuzzy-Cell Decomposition

Pursuit Algorithm for Robot Trash Can Based on Fuzzy-Cell Decomposition

Pursuit Algorithm for Robot Trash Can Based on Fuzzy-Cell Decomposition

Minimum-fuel Spacecraft Rendezvous based on Sparsity Promoting Optimization

Contact Info

Product

Resources

About