Implementation of the Extended Conjugate Gradient Method for the Two- Dimensional Energized Wave Equation

Similar documents
The Penalty Cost Functional for the Two-Dimensional Energized Wave Equation

Vertical Sound Waves

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

SIMEON BALL AND AART BLOKHUIS

ELEN E4830 Digital Image Processing

9. Simple Rules for Monetary Policy

NUMERICAL ALGORITHM FOR OPTIMAL MULTI-VARIABLE CONTROL OF AERO ENGINES

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University

"Science Stays True Here" Journal of Mathematics and Statistical Science, Volume 2016, Science Signpost Publishing

Consider a system of 2 simultaneous first order linear equations

Chapter 9 Transient Response

State Observer Design

OUTLINE FOR Chapter 2-2. Basic Laws

Convergence of Quintic Spline Interpolation

Nonstandard finite difference scheme associated with harmonic mean averaging for the nonlinear Klein-Gordon equation

Black-Scholes Partial Differential Equation In The Mellin Transform Domain

Robust decentralized control with scalar output of multivariable structurally uncertain plants with state delay 1

Oscillations of Hyperbolic Systems with Functional Arguments *

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

t=0 t>0: + vr - i dvc Continuation

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

Sun and Geosphere, 2008; 3(1): ISSN

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Nonlinear identification for diffusion/cvd furnaces

Analytical solution of a transient Hartmann flow with Hall current and ion slip using finite Fourier transform

Almost unbiased exponential estimator for the finite population mean

IMPROVED RATIO AND PRODUCT TYPE ESTIMATORS OF FINITE POPULATION MEAN IN SIMPLE RANDOM SAMPLING

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d.

Theoretical Seismology

Y. Dharmendar Reddy and V. Srinivasa Rao Department of Mathematics, Anurag Group of Institutions, Ghatkesar, R.R.Dist.,Telangana State, India.

Wave Superposition Principle

innovations shocks white noise

by Lauren DeDieu Advisor: George Chen

FUZZY NEURAL NETWORK CONTROL FOR GRAVURE PRINTING

Gradient Descent for General Reinforcement Learning

Advanced Queueing Theory. M/G/1 Queueing Systems

The Variance-Covariance Matrix

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8

(heat loss divided by total enthalpy flux) is of the order of 8-16 times

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

NEGATIVE-ORDER FORMS FOR THE CALOGERO-BOGOYAVLENSKII-SCHIFF EQUATION AND THE MODIFIED CALOGERO-BOGOYAVLENSKII-SCHIFF EQUATION

Ergodic Capacity of a SIMO System Over Nakagami-q Fading Channel

Real-Time Trajectory Generation and Tracking for Cooperative Control Systems

Observer Design for Nonlinear Systems using Linear Approximations

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions

Boosting and Ensemble Methods

Reliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution

Chapter 7 Stead St y- ate Errors

Mixture Ratio Estimators Using Multi-Auxiliary Variables and Attributes for Two-Phase Sampling

Comparative Study of Finite Element and Haar Wavelet Correlation Method for the Numerical Solution of Parabolic Type Partial Differential Equations

Surface Impedance of Superconductors and Normal Conductors in EM Simulators 1

A STABILIZED MIXED FINITE ELEMENT FORMULATION FOR FINITE STRAIN DEFORMATION. Roxana Cisloiu. BS, Technical University Gh.Asachi, Iasi, Romania, 1991

CONTINUOUS TIME DYNAMIC PROGRAMMING

AN HYDRODYNAMIC MODEL FOR THE CALCULATION OF OIL SPILLS TRAJECTORIES

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 4, Issue 10, April 2015

Chapter 8 Theories of Systems

THREE-DIMENSIONAL FUNDAMENTAL SOLUTIONS IN MULTILAYERED PIEZOELECTRIC SOLIDS

Almost Unbiased Exponential Estimator for the Finite Population Mean

APROXIMATE SOLUTION FOR A COUPLED SYSTEM OF DIFFERENTIAL EQUATIONS ARISING FROM A THERMAL IGNITION PROBLEM

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to:

Jones vector & matrices

Published in: Proceedings of the Twenty Second Nordic Seminar on Computational Mechanics

SUMMER 17 EXAMINATION

ANALYTICITY THEOREM FOR FRACTIONAL LAPLACE TRANSFORM

Wind Tunnel Study the Turbulence Effects on Aerodynamics of Suspended Truss Bridge

Dynamic Power Allocation in MIMO Fading Systems Without Channel Distribution Information

NUMERICAL SIMULATION OF OIL SPILL TRAJECTORIES IN THE SEA

Different kind of oscillation

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS


P. We make the following assumptions

Frequency Response. Response of an LTI System to Eigenfunction

CONSISTENT EARTHQUAKE ACCELERATION AND DISPLACEMENT RECORDS

OPTIMIZATION OF A NONCONVENTIONAL ENGINE EVAPORATOR

Testing EBUASI Class of Life Distribution Based on Goodness of Fit Approach

10.5 Linear Viscoelasticity and the Laplace Transform

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer.

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields

Homework: Introduction to Motion

Gaussian Random Process and Its Application for Detecting the Ionospheric Disturbances Using GPS

Guaranteed Cost Control for a Class of Uncertain Delay Systems with Actuator Failures Based on Switching Method

Feedback Control and Synchronization of Chaos for the Coupled Dynamos Dynamical System *

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Digital Image Processing

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

TIME-DOMAIN EQUIVALENT EDGE CURRENT (EEC's) TECHNIQUE TO IMPROVE A TLM-PHYSICAL OPTICS HYBRID PROCEDURE

Dynamic modeling, simulation and control of a hybrid driven press mechanism

A Note on Estimability in Linear Models

Microscopic Flow Characteristics Time Headway - Distribution

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract

Chapter 2: Semi-Classical Light- Matter Interaction

VI. Computational Fluid Dynamics 1. Examples of numerical simulation

Statistical Analysis of Environmental Data - Academic Year Prof. Fernando Sansò

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues

Physics 160 Lecture 3. R. Johnson April 6, 2015

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS

Final Exam : Solutions

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

Transcription:

Lonardo Elcronc Jornal of raccs and Tchnolos ISSN 58-078 Iss 9 Jl-Dcmbr 006 p. -4 Implmnaon of h Endd Cona Gradn Mhod for h Two- Dmnsonal Enrd Wav Eqaon Vcor Onoma WAZIRI * Snda Ass REJU Mahmacs/Compr Scnc Dparmn Fdral Unvrs of Tchnolo Mnna 9000 Nr Sa Nra; * corrspondn ahor Naonal Opn Unvrs of Nra Vcora Island Laos Nra dronomawar@ahoo.com sr@no.d.n Absrac Th papr comps h opmal conrol and sa of h wo-dmnsonal Enrd wav qaon sn h Endd Cona radn Mhod ECGM. Ths pc of work has o do wh all h val compaonal lmns as drvd n h mplmnaon of h ECGM alorhm on h wo-dmnsonal Enrd Wav qaon n War and War & R LEJT & LJS Isss 9 006 [7-9]. Wh hs rcalls proram cods wr drvd whch av varos nmrcal opmal conrols and sas. Ths opmal conrols and sas wr consdrd a varos pons n a plan srfac. Kwords Endd Cona Gradn Mhod ECGM Cona Gradn Mhod CGM Conrol opraor and pnal cos hp://lp.acadmcdrc.or

Implmnaon of h Endd Cona Gradn Mhod for h Two-dmnsonal Enrd Wav qaon Vcor Onoma WAZIRI Snda Ass REJU 4 Inrodcon Th ECGM mplmnaon alorhm for h wo-dmnsonal nrd wav problm s a modfd parn of h CGM alorhm b Hsns and Sfl 5. Th opmal solons of h nrd wav qaon ar obanabl b sbsn h conrol opraor from War al. 7 h analcal solon from War al. 8 and h pnal fnconal lmns from War al. 9 no h CGM mplmnaon framworks modls. Th mplmnaon of h ECGM alorhm In hs opmaon compaonal problm for h wo-dmnsonal nrd qaon h dals ar n ln wh CGM framwork alorhm dvlopd b Hsns al. bd. Snc hs s a compr basd alorhm h nalaon s basd on h dfal of h compr. Th oln dals for h mplmnaon rns sqnall n hs ordr:. α α Eqaons and clarl dfn h mplas for h consrcon of h opmal sa and conrol rspcvl. Th s ' α apparn ar h sp lnhs ha spd p h ra of convrnc whl h p and p dno h cona drcons for h sa and conrols rspcvl. Th sp lnhs for h sa and conrol ar nql dfnd n hs ordrs: B α B α 4 Th pnald dscn drcon sp lnhs ar smlarl nql dfnd as: β 5 β 6

Lonardo Elcronc Jornal of raccs and Tchnolos ISSN 58-078 Iss 9 Jl-Dcmbr 006 p. -4 5 Th or smpl smbol h pnald dscn drcon s wh rspc o h conrol and sa. Th radns of h sa and conrol for h h rms ar smbolcall vn as: B α 7 B α 8 Th h rav dscn alorhm for h sa and conrol ar: β 9 β 0 To mak ffcv compaonal manplaon of h CGM alorhm as porrad n qaons hroh 0 o or problm w ms drv som of h lmns of h modl. Ths consdr or nconsrand problm for h wo-dmnsonal nrd wav qaon from War 006a rprodcd hrndr for convnnc: ] [ mn{ mn J µ [ µ ]} ddd From now onward h nconsran qaon shall b rfrrd o as J µ smbolcall s radns n h conrol parn ar: ] [ { J µ [ µ ]} ddd Th radn wh rspc o h sa racor: ddd J [ { µ

Implmnaon of h Endd Cona Gradn Mhod for h Two-dmnsonal Enrd Wav qaon Vcor Onoma WAZIRI Snda Ass REJU Th pnald dscn drcon p n h conrol and sa ar dfnd as follows: ddd 4 p { [ ] µ [ ddd]} 5 Now h prodc of h conrol opraor and h dscn drcon analcall drvd from h conrol opraor n War al. 7. β 4 p 6 54 β p ar 4 4 6 8 6 5 5 4 95 8 8 5 5 4 8 6 6 9 8 4 4 4 4 5 6 8 8 4 6 ddd 5 [ 6 8 4 7 4 5 4 µ ] ddd 6 4 ddd 6 4 4 5 0 4 µ 0 [ ] 0 6 0 0 0 0 ddd 6 Th dscn pnald prodc wh h conrol opraor s 6

Lonardo Elcronc Jornal of raccs and Tchnolos ISSN 58-078 Iss 9 Jl-Dcmbr 006 p. -4 B p µ [ ] 0ddd [ µ 6 6 ] 4µ ddd µ [8 6 ] ddd 7 Th drvaons of 6 and 7 wr sccssfl afr mch albrac manplaons from h conrol opraor n War al. 7. In frhranc of h mplmnaon of h ECGM alorhm basd on h problm a hand h nrd wav qaon hs drvaon as acqrd from War al. 7 and 8 ar worh of no: 0 snπsnπ 0 snπsnπ 0 sn π sn π 0 snπsnπ 8 0 snπsnπ 0 snπsnπ 0 sn π sn π 0snπsnπ 9 0sn π sn π 0 snπsnπ 7

Implmnaon of h Endd Cona Gradn Mhod for h Two-dmnsonal Enrd Wav qaon Vcor Onoma WAZIRI Snda Ass REJU 0 snπsnπ 0 snπsnπ 0 0sn sn 0sn sn 4 π π π π 4 4 0snπsnπ 0snπsnπ π [ 0 sn π sn π 0snπsnπ 0snπsnπ ] 0snπsnπ wh 0 h follown nal condons ar no dffcl o oban from qaons 8 hroh o : 0 0 sn π sn π 0 sn π sn π 0 0 sn π sn π 0 sn π sn π 4 0 π [ 0 snπsnπ 0 snπsnπ] 5 8

Lonardo Elcronc Jornal of raccs and Tchnolos ISSN 58-078 Iss 9 Jl-Dcmbr 006 p. -4 0 π [ 0 snπsnπ 0 snπsnπ] 6 Sbsn h drvaons of qaons 8 hroh o no qaons 6 and 7 h prodcs of h dscn drcons and h conrol opraor can b oband. Th pnal fnconal bcas of s rol n h ECGM s hrb rcalld from War al. 9: µ 0 snπsnπ 0 snπsnπ 0 snπsnπ 0 snπsnπ / π { 0 snπsnπ 0sn π sn π 0sn π sn π [ π { 0sn π sn π 0 snπsnπ 0 snπsnπ 0 snπsnπ }] 0sn π sn π } { 0sn π sn π 0sn π sn π 0sn π sn π 9

Implmnaon of h Endd Cona Gradn Mhod for h Two-dmnsonal Enrd Wav qaon Vcor Onoma WAZIRI Snda Ass REJU 0sn π sn π } 0sn π sn π π π 0sn π sn π 0sn sn 7 0 snπsnπ Havn drvd all h ncssar lmns for h ECGM mplmnaon alorhm; proram cods ar wrn afr all h ncssar sbsonal procsss no h CGM alorhmc parn. Th opmal conrol and sa ops W mak h follown obsrvaons n smmard ablar form ndr varos obsrvaons of h nal amplds and vloc a dsnc plan profls n spposdl absracv spaal plans wh olranc 0.000 b h applcaon of proram cods. Tabls and rspcvl v h nral smmar of h opmal conrols and sas. Each opmal sa or conrol s a mnmm val from lar daa of nmrcal ras. Th opmal conrols a dffrn chosn plan profls ar: Tabl. Th opmal conrol ops rofl Opmal conrol 6.5776858707 0-0 8.688569 0-6 0 5.45695474 0-6 40 5.49559090 0-6 50.77874900400 0-6 60.970795580080 0-6 70.970504645 0-6 80.969967800 0-6 Th opmal sas spaal plan vals a varos plan profls ar vn n abl : 40

Lonardo Elcronc Jornal of raccs and Tchnolos ISSN 58-078 Iss 9 Jl-Dcmbr 006 p. -4 Tabl. Th opmal conrol ops n-sraa Opmal Sa- 4.906696 0-0.9954995 0-5 0.0790 0-6 40.04858 0-6 50 9.90997809 0-6 60 6.54764064 0-8 70 6.548045988 0-6 80 6.54854507 0-6 Conclson W obsrv ha as h sraa profls n spac ncras from n and n 0 h opmal sa vals ar rlavl sabl wh s a nlbl local rror. Bwn n 0 and n 40 h opmal sa and conrol manan sabl a n 50 hr s a slh mp n vals for h sa b a dcras n h conrol. Afr hs pons h opmal sa and conrol vals a n 60 and n 80 rman sabl. Rfrncs [] Hsns M. R. Sfl E. Mhod of cona Gradn Mhod for solvn lnar ssms Jornal of Rsarch of h Naonal Bra of Sandards; 49 95 p. 409-46. [] Ibba M. A. Onman. On Conrol Opraor and som of s Applcaons J. Mah. Anal. and Applc. 0 984 p. -7. [] Omolhn J. O. On conrol of racon Dffson h.d. Thss Unvrs of Ilorn Nra 99. [4] R S. A. Compaonal Opmaon n Mahmacal phscs; h.d. Thss Unvrs of Ilorn Ilorn Nra 995. [5] Hsns M. A. Sfl Mhod of Cona Gradns for solvn lnar ssms. J. Rs NBS 0 95. 4

Implmnaon of h Endd Cona Gradn Mhod for h Two-dmnsonal Enrd Wav qaon Vcor Onoma WAZIRI Snda Ass REJU [6] War V. O. Opmal Conrol of Enrd Wav qaons sn h Endd Cona Gradn Mhod ECGM h.d. Thss Fdral Unvrs of Tchnolo Mnna Nra 004. [7] War V. O. R S. A. Conrol Opraor for h Two-Dmnsonal Enrd Wav Eqaon Lonardo Jornal of Scnc ISSN 58-0 Iss 9 Jl-Dcmbr 006 p. -4. [8] War V. O. R S. A. Th Analss of h Two-dmnsonal Dffson Eqaon Wh a Sorc Lonardo Jornal of Scnc ISSN 58-078 Iss 9 Jl-Dcmbr 006 p.4-5. [9] War V. O. R S. A. Th nal Cos Fnconal for h Two-dmnsonal Enrd Wav Eqaon Lonardo Jornal of Scnc ISSN 58-0 Iss 9 Jl- Dcmbr 006 p. 45-5. 4