Distributed Continuous-time Algorithm for Time-varying Quadratic Programming with Coupled Equality Constraint

This paper describes a distributed algorithm that employs the distributed average tracking approach to address time-varying quadratic programming problem. The problem involves time-varying coupled equality constraint and is based on continuous-time multi-agent system. The local objective functions&#...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	2024 2nd International Conference on Mechatronics, Control and Robotics (ICMCR) s. 16 - 20
Hlavní autoři:	Yue, Yuanyuan, Liu, Qingshan
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 27.02.2024
Témata:	coupled equality constraint Distributed algorithms Distributed time-varying optimization Dynamical systems Heuristic algorithms Linear programming Mechatronics multi-agent system nonidentical Hessians Numerical models Quadratic programming
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	This paper describes a distributed algorithm that employs the distributed average tracking approach to address time-varying quadratic programming problem. The problem involves time-varying coupled equality constraint and is based on continuous-time multi-agent system. The local objective functions' Hessian matrices are time-varying and different from one another. The basic purpose is to minimize the sum of time-varying objective functions through local interaction with each agent possessing knowledge of its own objective function. The dynamics of multi-agent system makes sure that the states of all agents will find and follow the optimal solutions. Finally, the efficacy of the proposed approach is successfully showcased through a numerical example with simulations.
DOI:	10.1109/ICMCR60777.2024.10482057