Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Massimo Canale"'
Autor:
Massimo Canale, Valentino Razza
Publikováno v:
IEEE Access, Vol 12, Pp 86470-86486 (2024)
We introduce an approach for automated driving in highway scenarios based on a two-level hierarchical architecture. The high-level consists of a path planner implemented through a Model Predictive Control algorithm that, using a simple kinematic mode
Externí odkaz:
https://doaj.org/article/c4df5e872c7842e49f34579dcbe35015
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 2, p 55 (2024)
This paper presents the design of an energy management control system to improve powertrain efficiency and optimize the amount of fuel used by a hybrid fuel cell vehicle in a route-based scenario. To reach this goal, a complete tank-to-wheel model is
Externí odkaz:
https://doaj.org/article/1f1acf6c32ca4c0a86ab782fb7cedca9
We introduce an original Model Predictive Control (MPC) approach, aimed at optimizing the energy production of an Inertial Sea Wave Energy Converter (ISWEC). The aim of the proposed method is to handle the performance tradeoff among different control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e20b5d9b8effb36db41789dda3b93d3a
http://hdl.handle.net/11583/2784312
http://hdl.handle.net/11583/2784312
Publikováno v:
ICCA
In this paper, we introduce an original Model Predictive Control (MPC) approach to optimize energy production of an inertial wave sea energy converter (ISWEC). In particular, within the MPC framework the performance tradeoff among different control o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cddd66efbbc720829fd2ff42830fc72
https://doi.org/10.1109/icca.2019.8899936
https://doi.org/10.1109/icca.2019.8899936
Publikováno v:
Journal of Signal Processing Systems. 84:371-381
The analysis of the trace graphs generated by dataflow program executions has been shown to be an effective tool for exploring and optimizing the design space of application programs on manycore/multicore platforms. In this work a new approach aiming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c716834e1c3933264893812c9a9ab7ef
https://doi.org/10.1007/s11265-015-1083-4
https://doi.org/10.1007/s11265-015-1083-4
Publikováno v:
ACC
In this paper, we consider a Model Predictive Control (MPC) approach to micro-slip clutch control for driveline shuffle attenuation in vehicles with Automated Manual Transmission system. In particular, we introduce an original MPC formulation that ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dc0a3fc778ad778aa2af34b97789bf2
https://doi.org/10.23919/acc.2017.7963506
https://doi.org/10.23919/acc.2017.7963506
Publikováno v:
IEEE Transactions on Control Systems Technology. 22:2048-2055
A study on the application of a direct virtual sensor-moving horizon estimator (DVS-MHE) to the problem of vehicle side-slip angle estimation is carried out. In particular, it is shown that a stable MHE can be represented as nonlinear finite impulse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29bd45586018a4d949ff7349bd57706e
https://doi.org/10.1109/tcst.2013.2295974
https://doi.org/10.1109/tcst.2013.2295974
Publikováno v:
Asian Journal of Control. 16:1425-1436
A fast implementation of a given predictive controller for polynomial systems is introduced by approximating the optimal control law with a piecewise constant function defined over a hyper-cube partition of the system state space. Such a state-space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a25dca7153ade0ad8cc3140e8e02a03
https://doi.org/10.1002/asjc.863
https://doi.org/10.1002/asjc.863
Autor:
Massimo Canale, Simone Casale-Brunet
Publikováno v:
International Journal of Control Automation and Systems
This work introduces an educational framework based on the Lego Mindstorms NXT robotic platform used to outline both the theoretical and practical aspects of the Model Predictive Control (MPC) theory. The framework has been developed in the widely us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b6f7a361b3c9c31c5b340261ce6e215
Publikováno v:
International Journal of Robust and Nonlinear Control. 24:3170-3195
SUMMARY A set membership method for right inversion of nonlinear systems from data is proposed in the paper. Both the cases where the system to invert is known or unknown and therefore identified from data are addressed. The method does not require t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db15a2cfd8781721214a65f650cb82a9
https://doi.org/10.1002/rnc.3048
https://doi.org/10.1002/rnc.3048