Results 51 to 60 of about 4,922,677 (347)

Intelligent Adaptive Motion Control for Ground Wheeled Vehicles [PDF]

open access: yes, 2014
In this paper a new intelligent adaptive control is applied to solve a problem of motion control of ground vehicles with two independent wheels actuated by a differential drive.
MELLUSO, Maurizio
core  

Development of In-process Fuzzy Control System for T-shape Tube Hydroforming☆

open access: yes, 2014
To develop an in-process fuzzy control system for tube hydroforming, a new die-embedded sensing system was developed and fuzzy control was used to determine adaptively suitable loading path. T-shape tube hydroforming experiments were conducted to confirm
K. Manabe   +3 more
semanticscholar   +1 more source

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

open access: yesFEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman   +4 more
wiley   +1 more source

Improvement of Adaptive Cruise Control System Performance on Sloped Roads Based on Adaptive Neuro-Fuzzy Inference System

open access: yesIEEE Access
Adaptive cruise control is a system that maintains an appropriate distance from vehicles ahead while driving. Although Adaptive cruise control systems operate stably on flat roads, they can become unstable on sloped roads. This study presents a method to
Kang-Hyeon Choi, Hyuk-Jun Chang
doaj   +1 more source

Robust Multi-Criteria Optimal Fuzzy Control of Continuous-Time Nonlinear Systems [PDF]

open access: yes, 2016
This paper presents a novel fuzzy control design of continuous-time nonlinear systems with multiple performance criteria. The purpose behind this work is to improve the traditional fuzzy controller performance to satisfy several performance criteria ...
Wang, Xin, Yaz, Edwin E.
core   +1 more source

Performance Evaluation of Road Traffic Control Using a Fuzzy Cellular Model

open access: yes, 2011
In this paper a method is proposed for performance evaluation of road traffic control systems. The method is designed to be implemented in an on-line simulation environment, which enables optimisation of adaptive traffic control strategies.
A.A. Kurzhanskiy   +12 more
core   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

A New Fuzzy-Evidential Controller for Stabilization of the Planar Inverted Pendulum System. [PDF]

open access: yesPLoS ONE, 2016
In order to realize the stability control of the planar inverted pendulum system, which is a typical multi-variable and strong coupling system, a new fuzzy-evidential controller based on fuzzy inference and evidential reasoning is proposed.
Yongchuan Tang, Deyun Zhou, Wen Jiang
doaj   +1 more source

Remote Fuzzy Logic Control System for a DC Motor Speed Control [PDF]

open access: yes, 2002
This paper will discuss about DC motor speed control based on fuzzy logic control system implemented on Linux operating system. This fuzzy logic control system can be designed and controlled from remote area i.e.
Thiang, T. (Thiang)   +1 more
core  

A novel technique for load frequency control of multi-area power systems [PDF]

open access: yes, 2020
In this paper, an adaptive type-2 fuzzy controller is proposed to control the load frequency of a two-area power system based on descending gradient training and error back-propagation. The dynamics of the system are completely uncertain.
Dokht Shakibjoo, Ali   +3 more
core   +1 more source

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