Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 4

Year

2019 1

2018 1

2015 1

2001 1

Keywords

Data collection 1

Extremum seeking 1

Gradient climbing 1

Underwater acoustic communication 1

Unmanned surface vehicle 1

economic power supply radius 1

extremum seeking (ES) 1

fractional calculus 1

fractional order control (FOC) 1

fuzzy geometric programming 1

maximum power point tracking (MPPT) 1

optimum seeking 1

photovoltaic (PV) panel 1

transformer substations capacity (or number) 1

open ︾

Search scope:

排序： Display mode:

Fractional order extremum seeking approach for maximum power point tracking of photovoltaic panels

Ammar NEÇAIBIA,Samir LADACI,Abdelfatah CHAREF,Jean Jacques LOISEAU

Frontiers in Energy 2015, Volume 9, Issue 1, Pages 43-53 doi: 10.1007/s11708-014-0343-5

Abstract: The proposed control scheme was based on extremum-seeking (ES) combined with fractional order systems

Keywords： extremum seeking (ES) fractional order control (FOC) fractional calculus photovoltaic (PV) panel maximum

HTML PDF Collect

A novel gradient climbing control for seeking the best communication point for data collection from a Research Papers

Jiu-cai JIN, Jie ZHANG, Zhi-chao LV

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6, Pages 751-759 doi: 10.1631/FITEE.1700732

Abstract: As far as we know, extremum seeking based on climbing control is usually implemented by multiple vehiclesof the limited extent for measurement; therefore, it is difficult for a single vehicle to seek the extremumA controller for seeking the best UAC’s point of the USV is designed using gradient climbing and artificial

Keywords： Unmanned surface vehicle Data collection Underwater acoustic communication Gradient climbing Extremumseeking

HTML PDF Collect

Unconventional energy: Seeking the ways to innovate energy science and technology

Jing LIU, Zhixiong GUO

Frontiers in Energy 2018, Volume 12, Issue 2, Pages 195-197 doi: 10.1007/s11708-018-0568-9

HTML PDF Collect

Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method

Cao Bingyuan

Strategic Study of CAE 2001, Volume 3, Issue 3, Pages 52-55

Abstract:

The choice of power supply radius for transformer substations is a complicated problem. A fuzzy geometric programming model of power supply radius under the fuzzy environment, including problems of soft constraints and fuzzy functions with fuzzy coefficients, is built in order to determine the best choice with less investment and lower energy loss. From the model built in this paper more information can be collected and more satisfactory results can be obtained compared with other static and dynamic optimum mathematical models such as controlling models and classical geometric programming ones.

Keywords： fuzzy geometric programming economic power supply radius optimum seeking transformer substations capacity