Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Bernardo Morcego"'
Publikováno v:
ISA transactions
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
This paper considers the problem of designing a shifting state-feedback controller via quadratic parameter-dependent Lyapunov functions (QPDLFs) for systems subject to symmetric time-varying saturations. By means of the linear parameter varying (LPV)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c04273e5a97b54831b42f94274b86335
https://hdl.handle.net/2117/352878
https://hdl.handle.net/2117/352878
Publikováno v:
Applied Sciences, Vol 9, Iss 17, p 3606 (2019)
All real-world systems are affected by the saturation phenomenon due to inherent physical limitations of actuators. These limitations should be taken into account in the controller’s design to prevent a possibly severe deterioration of the system
Externí odkaz:
https://doaj.org/article/2afff0fc827b4e42bd9b9ebcc99135f4
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
This paper proposes a solution for the path following problem of a quadrotor vehicle based on deep reinforcement learning theory. Three different approaches implementing the Deep Deterministic Policy Gradient algorithm are presented. Each approach em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0725a67003511ed44f617dffb8147246
https://doi.org/10.1007/s10514-020-09951-8
https://doi.org/10.1007/s10514-020-09951-8
Publikováno v:
IFAC-Papers
This paper establishes a methodology based on linear matrix inequalities (LMIs) to design a shifting H∞ linear parameter varying (LPV) state-feedback controller for systems affected by time-varying input saturations. By means of the shifting paradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0e6d7e88f812134cf606f945c826247
https://doi.org/10.1016/j.ifacol.2020.12.991
https://doi.org/10.1016/j.ifacol.2020.12.991
Publikováno v:
IFAC-PapersOnLine. 53:17150-17155
In this paper, a project oriented course on guidance and control of autonomous aerial vehicles (UAVs) is presented. The paper describes the different modules of the course and how they are addressed using the project oriented approach. The project us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c020abbba940554bf2a54ef170505d
https://doi.org/10.1016/j.ifacol.2020.12.1706
https://doi.org/10.1016/j.ifacol.2020.12.1706
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
A deep reinforcement learning approach for solving the quadrotor path following and obstacle avoidance problem is proposed in this paper. The problem is solved with two agents: one for the path following task and another one for the obstacle avoidanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e20e5df77b4da156cdd3e16f013043bc
https://doi.org/10.1007/s10846-021-01491-2
https://doi.org/10.1007/s10846-021-01491-2
Publikováno v:
Deep Learning for Unmanned Systems ISBN: 9783030779382
This chapter revises the path following and obstacle avoidance problems of a quadrotor vehicle based on deep reinforcement learning theory. The aim of this chapter is to develop a system capable of accurately following a path by adapting the vehicle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e5b8589952123596212dfe71ab90f3
https://doi.org/10.1007/978-3-030-77939-9_17
https://doi.org/10.1007/978-3-030-77939-9_17
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Scopus-Elsevier
ECC
Universitat Politècnica de Catalunya (UPC)
Scopus-Elsevier
ECC
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::462009ad9286660b39b5a8a7519770a4
http://hdl.handle.net/2117/328906
http://hdl.handle.net/2117/328906
Publikováno v:
ICCA
This paper presents Path-Flyer, a simulation benchmark for testing path following algorithms on a quadrotor vehicle. A complete and realistic mathematical model, based on the real Asctec Hummingbird quadrotor, is described. Wind disturbance and noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4434f5702d339a0cfd8a3d129841f16
https://doi.org/10.1109/icca.2019.8899563
https://doi.org/10.1109/icca.2019.8899563
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Recercat. Dipósit de la Recerca de Catalunya
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
International Journal of Applied Mathematics and Computer Science, Vol 29, Iss 1, Pp 99-109 (2019)
instname
Recercat. Dipósit de la Recerca de Catalunya
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
International Journal of Applied Mathematics and Computer Science, Vol 29, Iss 1, Pp 99-109 (2019)
This paper presents the design of a state observer which guarantees quadratic boundedness of the estimation error. By using quadratic Lyapunov stability analysis, the convergence rate and the ultimate (steady-state) error bounding ellipsoid are ident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ffd23c2aae60ce1f82056c525f87b60
http://hdl.handle.net/10261/202282
http://hdl.handle.net/10261/202282