Intelligent_Systems - LECTURE NOTES ON INTELLIGENT SYSTEMS...

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LECTURE NOTES ON INTELLIGENT SYSTEMS Mihir Sen Department of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame, IN 46556, U.S.A. December 4, 2002
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Contents Preface 7 1 Introduction 9 1.1 Intelligent systems . ........................... 9 1 . 2 App l i c a t i on s................................ 1 0 1 . 3 R e l a t edd i s c ip l in e s ............................ 1 0 1 . 4 R e f e r en c e s................................. 1 0 2 Systems theory 11 2 . 1 M a th em a t i c a lm od e l s........................... 1 1 2 . 2 Op e r a t o r s ................................. 1 5 2 . 3 U s eo fm a a t i c a e l s....................... 1 6 2 . 3 . 1 Sy s t emr e spon s e.......................... 1 6 2 . 3 . 2 Equ a t i s ............................. 1 6 2 . 3 . 3 Sy s t emid t ifi c a t i on. ...................... 1 8 2 . 3 . 4 S t a t i s t i c a lan a ly s i s ........................ 2 0 2 . 4 L e a requ a t i 2 1 2 . 4 . 1 L e a ra l g eb r a i c.......................... 2 1 2 . 4 . 2 O rd a ryd iff e r t i a l ....................... 2 1 2 . 4 . 3 P a r t i a ld e r t i a l ........................ 2 2 2 . 4 . 4 In t e g r a l .............................. 2 2 2 . 4 . 5 Ch a r a c t e r i s t i c s .......................... 2 2 2.5 Nonlinear systems . ............................ 2 3 2 . 5 . 1 A l g r a i cequ a t i s........................ 2 3 2 . 5 . a e r t i a lequ a t i s.................. 2 3 2 . 5 . 3 B i fu r c a t i s............................ 2 5 2 . 6 C e l lu l a rau t om a t a............................. 2 9 2.7 Stability. ................................. 3 0 2 . 7 . e a r ............................... 3 0 2 . 7 . 2 N l e a r ............................. 3 0 3
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2 . 8 App l i c a t i on s................................ 3 0 2 . 8 . 1 C t r o l .............................. 3 0 2 . 8 . 2 D e s i gn. .............................. 3 2 2 . 8 . 3 D a t aan a ly s i s ........................... 3 2 2.9 Intelligent systems . ........................... 3 2 2 . 9 . omp l ex i t y ............................ 3 2 2.9.2 Need for intelligent systems . .................. 3 3 P r ob l em s .................................... 3 3 3 Artificial neural networks 35 3 . 1 S in g l en eu r on . 3 6 3 . 2 N e tw o rka r ch i t e c tu r e ........................... 3 7 3 . 2 . g l e - l a y e rf e ed f o rw a rd . .................... 3 7 3 . 2 . 2 Mu l t i l a y e e f o a ..................... 3 7 3 . 2 . 3 R e cu r r t ............................. 3 7 3 . 2 . 4 L a t t i c es t ru c r e ......................... 3 7 3 . 3 L e a rn gru l e s............................... 3 8 3 . 3 . 1 H ebb i anl e a g ......................... 3 8 3 . 3 . 2 C e t i t iv el e a g....................... 3 9 3 . 3 . 3 B o l t zm annl e a g........................ 4 0 3 . 3 . 4 D e l t aru l e ............................. 4 1 3 . 4 Mu l t i l a y e rp e r c ep t r on. .......................... 4 1 3 . 4 . 1 F e f o a rd. 4 2 3.4.2 Backpropagation . ........................ 4 3 3 . 4 . 3 N o rm a l i z a t i 4 5 3 . 4 . 4 F i t t g............................... 4 6 3 . 5 R ad i a lb a s i sfun c t i s .......................... 4 6 3 . 6 O th e rex amp l e s.............................. 4 6 3 . 7 App l i c a t i 4 6 3 . 7 . e a tex an g e rc t r o l...................... 4 7 3 . 7 . t r o lo fn a r a lc v e c t i ................. 4 7 3 . 7 . 3 T u rbu l c ec t r o l ........................ 4 7 4 Fuzzy logic 49 4 . u z zys e t s................................. 4 9 4 . 2 In f e r c e.................................. 5 1 4 . 2 . 1 M amd im e od. 5 1 4 . 2 . 2 T ak a g i -Su g o -K g(TSK )m e .............. 5 1 4 . e fu z z ifi c a t i ............................. 5 2 4 . u z zyr e a s g.............................. 5 3 4
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4 . 5 F u z zy - l o g i cm od e l in g ........................... 5 3 4 . 6 F u z zyc on t r o l ............................... 5 3 4 . 7 C lu s t e r g................................. 5 4 4 . 8 O th e rapp l i c a t i s ............................ 5 5 5 Probabilistic and evolutionary algorithms 57 5 . 1 S imu l a t edann e a l 5 7 5 . 2 G en e t i ca l g o r i thm 5 8 5 . 3 G e t i cp r o g r amm g........................... 5 9 5 . 4 App l i c a t i s................................ 5 9 5 . 4 . 1 N o i s ec t r o l ........................... 5 9 5 . 4 . 2 F inop t im i z a t i on . ........................ 5 9 5 . 4 . 3 E l e c t r i cc oo l g......................... 5 9 6 Expert and knowledge-based systems 61 6 . 1 B a s i cth e o ry. ............................... 6 1 6 . 2 App l i c a t i 6 1 7 Other topics 63 7 . 1 Hyb r idapp r o a ch e 6 3 7.2 Neurofuzzy systems. ........................... 6 3 7.3 Fuzzy expert systems. .......................... 6 3 7 . 4 D a t am g................................ 6 3 8 Electronic tools 65 8 . 1 T l s.................................... 6 5 8 . 1 .
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This note was uploaded on 05/21/2008 for the course AEROSPACE Eng taught by Professor Mihrsen during the Spring '02 term at Notre Dame.

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Intelligent_Systems - LECTURE NOTES ON INTELLIGENT SYSTEMS...

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