Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation

Autor: Baldi, S., Kosmatopoulos, E. B., Ampountolas, Konstantinos, Rovas, D., Papachristodoulou, A., Ioannou, Petros A.

Publikováno v: Proceedings of the IEEE Conference on Decision and Control
2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
CDC/ECC

Based on recent advances on convex design for Large-Scale Control Systems (LSCSs) and robust and efficient LSCS self-tuning/adaptation, a methodology is proposed in this paper which aims at providing an integrated LSCS-design, applicable to large-sca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7003b671e58a8232de78c10eebbb507c
https://ora.ox.ac.uk/objects/uuid:a14a1458-c4b9-431b-bd87-cd6110e9046b

Adaptive optimization for active queue management supporting TCP flows

Autor: Baldi, S., Kosmatopoulos, E. B., Pitsillides, Andreas, Lestas, Marios, Ioannou, Petros A., Wan, Y.

Publikováno v: Proceedings of the 2016 American Control Conference (ACC2016)
ACC
Proceedings of the American Control Conference
2016 American Control Conference, ACC 2016

An adaptive decentralized strategy for active queue management of TCP flows over communication networks is presented. The proposed strategy solves locally, at each link, an optimal control problem, minimizing a cost composed of residual capacity and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae35fd138506f7383d4cc258c8d76c2b
http://resolver.tudelft.nl/uuid:8706f41e-a4ba-42a2-9361-afe365a153c7

Strategies and spacing requirements for lane changing and merging in automated highway systems

Autor: Kanaris, Alexander, Kosmatopoulos, E. B., Ioannou, Petros A.

Publikováno v: IEEE Transactions on Vehicular Technology
IEEE Trans.Veh.Technol.

In automated highway systems (AHS) vehicles are expected to operate using their own sensing and control systems by interacting with other vehicles and the infrastructure in a way that guarantees safety, stability, and high capacity. One of the crucia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e98faed8143badd22f1a1c116b431a71
https://doi.org/10.1109/25.966586

Collision avoidance analysis for lane changing and merging

Autor: Jula, H., Kosmatopoulos, E. B., Ioannou, Petros A.

Publikováno v: Jula, Hossein; Kosmatopoulos, Elias B.; & Ioannou, Petros A.(1999). Collision Avoidance Analysis for Lane Changing and Merging. California Partners for Advanced Transit and Highways (PATH). UC Berkeley: California Partners for Advanced Transportation Technology. Retrieved from: http://www.escholarship.org/uc/item/3zh107m3
IEEE Transactions on Vehicular Technology
IEEE Trans.Veh.Technol.

One of the riskiest maneuvers that a driver has to perform in a conventional highway system is to merge into the traffic and/or to perform a lane changing maneuver. Lane changing/merging collisions are responsible for one-tenth of all crash-caused tr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e80fd5de039ca621e246fc0b3bba75e4
https://doi.org/10.1109/25.901899

High-order neural network structures for identification of dynamical systems

Autor: Kosmatopoulos, E. B., Polycarpou, Marios M., Christodoulou, M. A., Ioannou, P. A.

Publikováno v: IEEE Transactions on Neural Networks

Several continuous-time and discrete-time recurrent neural network models have been developed and applied to various engineering problems. One of the difficulties encountered in the application of recurrent networks is the derivation of efficient lea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0efc0354de49db63bd00550a3b9904a8
https://doi.org/10.1109/72.363477