Ant colony optimization algorithm and artificial immune system applied to a robot route

Autor: Paolo Mercorelli, J. M. S. Ribeiro, L. A. Z. Silva, Leonardo de Mello Honório, V. F. Vidal, A. F. Santos Neto, M. F. Santos, A. A. N. Pancoti, M. F. Silva, H. B. Rezende

Publikováno v: Ribeiro, J M S, Silva, M F, Santos, M F, Vidal, V F, Honorio, L M, Silva, L A Z, Rezende, H B, Santos Neto, A F, Mercorelli, P & Pancoti, A A N 2019, Ant colony optimization algorithm and artificial immune system applied to a robot route . in I E E E I A S (ed.), 20th International Carpathian Control Conference, ICCC 2019 ., 8765910, Institute of Electrical and Electronics Engineers Inc., Piscataway, 20th International Carpathian Control Conference, ICCC 2019, Krakow-Wieliczka, Poland, 26.05.19 . DOI: 10.1109/CarpathianCC.2019.8765910
Ribeiro, J M S, Silva, M F, Santos, M F, Vidal, V F, Honorio, L M, Silva, L A Z, Rezende, H B, Santos Neto, A F, Mercorelli, P & Pancoti, A A N 2019, Ant colony optimization algorithm and artificial immune system applied to a robot route . in A Kot & A Nawrocka (eds), Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019 ., 8765910, Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019, IEEE-Institute of Electrical and Electronics Engineers Inc., Piscataway, 20st International Carpathian Control Conference-ICCC 2019, Kraków-Wieliczka, Poland, 26.05.19 . https://doi.org/10.1109/CarpathianCC.2019.8765910

This Article aims to introduce two meta-heuristics techniques: Ant Colony Optimization (ACO) and Artificial Immune System (AIS) to find the best route for a robot. The ACO is an algorithm based on the ant food search process, and the AIS is inspired

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f61051ca541a6e064cfbde27c1c5163
http://fox.leuphana.de/portal/de/publications/ant-colony-optimization-algorithm-and-artificial-immune-system-applied-to-a-robot-route(8370cc40-4979-4e8d-9464-1a26104b520e).html

Signal Estimation for UAV Control Loop Identification Using Artificial Immune Systems

Autor: Leonardo de Mello Honório, H. B. Rezende, L. A. Z. Silva, V. F. Vidal, M. F. Silva, A. A. N. Pancoti, J. M. S. Ribeiro, M. F. Santos, Augusto Santiago Cerqueira, B. A. Regina

Publikováno v: 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC).

The paper aims to estimate a signal that best provides the identification of a quadrotor type Unmanned Aerial Vehicle angular control loop using a bioinspired metaheuristic Artificial Immune System algorithm. The angular control loop was approximated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d404b265d7df32acb1e8d25e18c0c6b1
https://doi.org/10.1109/icstcc.2018.8540706

Experimental Validation of Quadrotors Angular Stability in a Gyroscopic Test Bench

Autor: A. A. N. Pancoti, V. L. M. Lopes, H. B. Rezende, B. A. Regina, V. F. Vidal, M. F. Silva, Augusto Santiago Cerqueira, L. A. Z. Silva, J. M. S. Ribeiro, M. F. Santos, Leonardo de Mello Honório

Publikováno v: 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC).

This work presents a gyroscopic test bench for under or over-actuated UAVs. In this way, it is possible to perform stability tests and several control loop structures without taking the risk of damages present in field tests, or even accidents with p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f344120296b037b5318ef41dbde3df78
https://doi.org/10.1109/icstcc.2018.8540660

Vegetation Image as Bayesian Predictor for Radio Propagation in Complex Environments Using Unscented Transform

Autor: Alexandre J. F. Loureiro, Leonardo R.A.X. Menezes, Glaucio L. Ramos, Paulo T. Pereira, Mateus H. B. Rezende

Publikováno v: Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 17, Iss 2, Pp 284-297

Abstract Vegetation is considered a complex environment for analysis of scattering and attenuation in radio propagation phenomena. Satellite image processing can improve planning of radio systems with a vegetation attenuation predictor. In this resea

Externí odkaz: https://doaj.org/article/2c97199a802d435b8ebd60d7c3d84e19