adaptive

植物修复 重金属污染 植物络合素

DOI:10.1093/jxb/erf107

Theroleofphytochelatinsinconstitutiveandadaptiveheavymetaltolerancesinhyperaccumulatorandnon-hyperaccumulatormetallophytes

ÁLlugany1,4,RietVooijs1,JeanetteHartley-Whitaker2andPetraM.Bleeker1HenkSchat1,3,Merce

DepartmentofEcologyandPhysiologyofPlants,FacultyofEarthandLifeSciences,VrijeUniversiteit,

DeBoelelaan1085,1081HVAmsterdam,TheNetherlands

21

CentreforEcologyandHydrology,Merlewood,Grange-over-Sands,CumbriaLA116JU,UK

Received17May2002;Accepted2August2002

Abstract

Usingtheg-glutamylcyste

The paper presents two applications of intelligent agents to support the concept of adaptation defined in previous work. The concept of adaptation differs from the concept of intelligence and they do not necessarily associated with each other. Agent adapta

Adaptive Applications of Intelligent Agents

Ibrahim F. Imam

Department of Computer Science Arab Academy for Science and Technology

Cairo, Egypt

email:

satisfaction. Only the external actions of the agent are ABSTRACT

The paper presents two applications of intelligent agents

to su

A DSP CONTROLLED ADAPTIVE FEEDFORWARD AMPLIFIER

LINEARIZER

by

Stephen James Grant

B.A.Sc., University of British Columbia, 1993

THESIS SUBMITTED IN PARTIAL FULFILLMENT OF

THE REQUIREMENTS FOR THE DEGREE OF

MASTER OF APPLIED SCIENCE

in the School

of

Engineering Science

? Stephen J. Grant 1996

SIMON FRASER UNIVERSITY

July 1996

All rights reserved. This work may not be

reproduced in whole or in part, by photocopy

or other means, without permission of the author.

APPROVAL

NAME:Stephen James Grant

DEGREE:Master of Applied Science

TITLE OF THESIS:

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adapti

Adaptive Digital Predistortion Linearizer for Power Amplifiers in Military UHF Satellite

By

Jayanti Patel

A thesis submitted in partial fulfillment

of the requirements for the degree of

Master of Science in Electrical Engineering

Department of Electrical Engineering

College of Engineering

University of South Florida

Major Professor: Ravi Sankar, Ph.D.

Lawrence Dunleavy, Ph.D.

Paris H Wiley, Ph.D.

Date of Approval:

March 29, 2004

Keywords: Non-Linear, AM-AM, AM-PM, IMD, Simulation ? Copyright 2004, Jayanti Patel

ACKNOWLEDGMENTS

I w

268IEEE TRANSACTIONS ON FUZZY SYSTEMS,VOL.10,NO.2,APRIL2002

An Approach to Adaptive Control of Fuzzy Dynamic Systems

Gang Feng

Abstract—This paper discusses adaptive control for a class of fuzzy dynamic models.The adaptive control law is first designed in each local region and then constructed in global domain.It is shown that the resulting fuzzy adaptive control system is globally stable.Robustness issues of the adaptive control system are also addressed.A simulation example is given for demonstration of the application of th

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adaptive analysis, Parallel Comput 23

Parallel automatic adapti

Neurocomputing104(2013)10–25

ContentslistsavailableatSciVerseScienceDirect

Neurocomputing

journalhomepage:/locate/neucom

AHMM-basedadaptivefuzzyinferencesystemforstockmarketforecasting

Md.Ra ulHassana,n,KotagiriRamamohanaraob,JoarderKamruzzamanc,Musta zurRahmanb,M.MarufHossainb

a

DepartmentofInformationandComputerScience,KingFahdUniversityofPetroleumandMinerals,Dhahran31261,SaudiArabiaDepartmentofComputerScienceandSoftwareEngineering,TheUniversityofMelbourne,Victoria3010,Australiac

GippslandSchoolofIT,MonashUniversity,Churchill,VIC

This paper studies the design and application of the neural network based adaptive control scheme for autonomous underwater vehicle's (AUV's) depth control system that is an uncertain nonlinear dynamical one with unknown nonlinearities. The unknown nonline

International Journal of Computer Science & Applications © 2007 Technomathematics Research Foundation

Vol. 4 Issue 3, pp 107-118

Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks

Yang Shi1

智能计算 和 自适应控制

Available online at

Systems&ControlLetters49(2003)9–

19

/locate/sysconle

Robustandadaptivecontrol:ÿdelityoranopenrelationship?

Per-OlofGutman

FacultyofCivilandEnvironmentalEngineering,Technion—IsraelInstituteofTechnology,Haifa32000,Israel

Abstract

Robustandadaptivecontrolareessentiallymeanttosolvethesamecontrolproblem.GivenanuncertainLTImodelsetwiththeassumptionthatthecontrolledplantslowlydriftsoroccasionallyjumpsintheallowedmodelset,ÿndacontrollerthatsatisÿesthegivenservoanddisturbancerejectionspec