Extremum seeking for static maps with delays
TR Oliveira, M Krstić… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we address the design and analysis of multi-variable extremum seeking for
static maps subject to arbitrarily long time delays. Both Gradient and Newton-based methods …
static maps subject to arbitrarily long time delays. Both Gradient and Newton-based methods …
[图书][B] Extremum seeking through delays and PDEs
TR Oliveira, M Krstic - 2022 - SIAM
The year in which this book appears is the centennial of the 1922 invention, in the context of
maximizing the power transfer to an electric tram car [130], of the method for real-time …
maximizing the power transfer to an electric tram car [130], of the method for real-time …
A survey on online learning and optimization for spark advance control of SI engines
Y Zhang, X Shen, T Shen - Science China Information Sciences, 2018 - Springer
One of the most important factors affecting fuel efficiency and emissions of automotive
engines is combustion quality that is usually controlled by managing spark advance (SA) in …
engines is combustion quality that is usually controlled by managing spark advance (SA) in …
ELM-based driver torque demand prediction and real-time optimal energy management strategy for HEVs
J Zhang, F Xu, Y Zhang, T Shen - Neural Computing and Applications, 2020 - Springer
In hybrid electric vehicles, the energy economy depends on the coordination between the
internal combustion engine and the electric machines under the constraint that the total …
internal combustion engine and the electric machines under the constraint that the total …
On-board knock probability map learning–based spark advance control for combustion engines
This article presents an on-board map learning–based spark advance control framework for
combustion engines. The proposed control framework addresses the knock probabilistic …
combustion engines. The proposed control framework addresses the knock probabilistic …
Multivariable extremum seeking with distinct delays using a one-stage sequential predictor
M Malisoff, M Krstic - Automatica, 2021 - Elsevier
We provide new designs for multivariable extremum seeking for static maps with arbitrarily
long time delays. We allow different delays in each input channel and output delays, and …
long time delays. We allow different delays in each input channel and output delays, and …
Potential of machine learning methods for robust performance and efficient engine control development
Increasingly strict legislation for greenhouse gas and real-world pollutant emissions makes it
necessary to develop fuel-efficient and robust control solutions for future automotive …
necessary to develop fuel-efficient and robust control solutions for future automotive …
Towards efficient extremum-seeking control of wave energy systems: possibilities and pitfalls.
Given its success in other renewable energy domains, such a solar and wind, extremum-
seeking control (ESC) would seem to be a promising candidate for the wave energy energy …
seeking control (ESC) would seem to be a promising candidate for the wave energy energy …
Diesel-minimal combustion control of a natural gas-diesel engine
F Zurbriggen, R Hutter, C Onder - Energies, 2016 - mdpi.com
This paper investigates the combustion phasing control of natural gas-diesel engines. In this
study, the combustion phasing is influenced by manipulating the start and the duration of the …
study, the combustion phasing is influenced by manipulating the start and the duration of the …
Ignition advancement study for optimized characteristics of a raw biogas operated spark ignition engine
In the current investigation, raw biogas obtained from rural sectors was used as the
alternative to gasoline fuel in the spark ignition (SI) engine. The performance and efficiency …
alternative to gasoline fuel in the spark ignition (SI) engine. The performance and efficiency …