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System Identification

10 Learners

System Identification

Validity Unlimited System Identification All Level System Identification English

5.0 (1)
Free

About This Course

he field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models as well as model reduction

  • System Identification Total 1 Module
  • System Identification 118 Videos
  • System Identification Downloadable on mobile
  • System Identification Published on 29 July, 2019

Course Curriculum

Module

System Identification
  • <?php echo  $alt; ?>

    Lecture 01_Part 1 – Motivation and Overview 1

    26m <?php echo  $alt; ?>
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    Lecture 01_Part 2 – Motivation and Overview 2

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    Lecture 02_Part 1 – Motivation and Overview 3

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    Lecture 02_Part 2 – Motivation and Overview 4

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    Lecture 03_Part 1 – Journey into Identification 1

    21m <?php echo  $alt; ?>
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    Lecture 03_Part 2 – Journey into Identification 2

    26m <?php echo  $alt; ?>
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    Lecture 03_Part 2 – Journey into Identification 2

    18m <?php echo  $alt; ?>
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    Lecture 04_Part 1 – Journey into Identification 3

    23m <?php echo  $alt; ?>
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    Lecture 04_Part 2 – Journey into Identification (Case Studies) 4

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    Lecture 04_Part 3 – Journey into Identification (Case Studies) 5

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    Lecture 05_Part 1 – Journey into Identification (Case Studies) 6

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    Lecture 05_Part 3 – Journey into Identification (Case Studies) 8

    13m <?php echo  $alt; ?>
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    Lecture 06_Part 1 – Journey into Identification (Case Studies) 9

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    Lecture 06_Part 2 – Journey into Identification (Case Studies) 10

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    Lecture 07_Part 1 – Journey into Identification (Case Studies) 11

    21m <?php echo  $alt; ?>
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    Lecture 07_Part 2 – Journey into Identification (Case Studies) 12

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    Lecture 07_Part 3 – Journey into Identification (Case Studies) 13

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    Lecture 08_Part 1 – Journey into Identification (Case Studies) 14

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    Lecture 08_Part 2 – Journey into Identification (Case Studies) 15

    27m <?php echo  $alt; ?>
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    Lecture 09_Part 1 – Journey into Identification (Case Studies) 16

    22m <?php echo  $alt; ?>
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    Lecture 09_Part 2 – Journey into Identification 17

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    Lecture 10_Part 1 – Journey into Identification 18

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    Lecture 10_Part 2 – Response-based Description 1

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    Lecture 10_Part 3 – Response-based Description 2

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    Lecture 11_Part 1 – Response-based Description 3

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    Lecture 11_Part 2 – Response-based Description 4

    26m <?php echo  $alt; ?>
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    Lecture 12_Part 1 – Response-based Description 5

    26m <?php echo  $alt; ?>
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    Lecture 12_Part 2 – Response-based Description 6

    20m <?php echo  $alt; ?>
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    Lecture 12_Part 3 – Response-based Description 7

    20m <?php echo  $alt; ?>
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    Lecture 13_Part 1 – Response-based Description 8

    28m <?php echo  $alt; ?>
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    Lecture 13_Part 2 – Response-based Description 9

    28m <?php echo  $alt; ?>
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    Lecture 14_Part 1 – Response-based Description 10

    19m <?php echo  $alt; ?>
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    Lecture 14_Part 2 – Response-based Description 11

    14m <?php echo  $alt; ?>
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    Lecture 14_Part 3 – Response-based Description 12

    14m <?php echo  $alt; ?>
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    Lecture 15_Part 1 – Response-based Description 13

    35m <?php echo  $alt; ?>
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    Lecture 15_Part 2 – Discrete time LTI system 1

    23m <?php echo  $alt; ?>
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    Lecture 16_Part 1 – Discrete time LTI system 2

    23m <?php echo  $alt; ?>
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    Lecture 16_Part 2 – z-Domain Descriptions 1

    20m <?php echo  $alt; ?>
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    Lecture 17_Part 1 – z-Domain Descriptions 2

    20m <?php echo  $alt; ?>
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    Lecture 17_Part 2 – z-Domain Descriptions 3

    30m <?php echo  $alt; ?>
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    Lecture 18_Part 1 – z-Domain Descriptions 4

    30m <?php echo  $alt; ?>
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    Lecture 18_Part 2 – z-Domain Descriptions 5

    27m <?php echo  $alt; ?>
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    Lecture 18_Part 3 – z-Domain Descriptions 6

    25m <?php echo  $alt; ?>
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    Lecture 19_Part 1 – State Space Representation 1

    27m <?php echo  $alt; ?>
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    Lecture 19_Part 2 – State Space Representation 2

    26m <?php echo  $alt; ?>
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    Lecture 20_Part 1 – State Space Representation 3

    26m <?php echo  $alt; ?>
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    Lecture 20_Part 2 – State Space Representation 4

    29m <?php echo  $alt; ?>
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    Lecture 21_Part 1 – Sampled - Data Systems 1

    29m <?php echo  $alt; ?>
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    Lecture 21_Part 2 – Sampled - Data Systems 2

    32m <?php echo  $alt; ?>
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    Lecture 22_Part 1 – Sampled - Data Systems 3

    31m <?php echo  $alt; ?>
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    Lecture 22_Part 2 – Sampled - Data Systems 4

    23m <?php echo  $alt; ?>
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    Lecture 23_Part 1 – Sampled - Data Systems 5

    23m <?php echo  $alt; ?>
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    Lecture 23_Part 2 – Sampled - Data Systems 6

    24m <?php echo  $alt; ?>
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    Lecture 24_Part 1 – Sampled - Data Systems 7

    24m <?php echo  $alt; ?>
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    Lecture 24_Part 2 – Sampled - Data Systems 8

    36m <?php echo  $alt; ?>
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    Lecture 25_Part 1 – Probability_Random variables and moments - Review 1

    41m <?php echo  $alt; ?>
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    Lecture 25_Part 2 – Probability_Random variables and moments - Review 2

    41m <?php echo  $alt; ?>
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    Lecture 26_Part 1 – Probability_Random variables and moments - Review 3

    28m <?php echo  $alt; ?>
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    Lecture 26_Part 2 – Probability_Random variables and moments - Review 4

    28m <?php echo  $alt; ?>
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    Lecture 27_Part 1 – Probability_Random variables and moments - Review 5

    25m <?php echo  $alt; ?>
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    Lecture 27_Part 2 – Probability_Random variables and moments - Review 6

    21m <?php echo  $alt; ?>
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    Lecture 28_Part 1 – Random Processes - Review 1

    34m <?php echo  $alt; ?>
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    Lecture 28_Part 2 – Random Processes - Review 2

    30m <?php echo  $alt; ?>
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    Lecture 29_Part 1 – Random Processes - Review 3

    24m <?php echo  $alt; ?>
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    Lecture 29_Part 2 – Random Processes - Review 4

    35m <?php echo  $alt; ?>
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    Lecture 30_Part 1 – Random Processes - Review 5

    40m <?php echo  $alt; ?>
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    Lecture 30_Part 2 – Random Processes - Review – (MATLAB) 6

    16m <?php echo  $alt; ?>
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    Lecture 31_Part 1 – Random Processes - Review 7

    16m <?php echo  $alt; ?>
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    Lecture 31_Part 2 – Random Processes - Review 8

    35m <?php echo  $alt; ?>
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    Lecture 32_Part 1 – Spectral Representation 1

    36m <?php echo  $alt; ?>
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    Lecture 32_Part 2A – Spectral Representation 2

    24m <?php echo  $alt; ?>
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    Lecture 32_Part 2B – Spectral Representation 3

    21m <?php echo  $alt; ?>
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    Lecture 33_Part 1 – Models for Identification 1

    28m <?php echo  $alt; ?>
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    Lecture 33_Part 2 – Models for Identification 2

    23m <?php echo  $alt; ?>
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    Lecture 34_Part 1 – Models for Identification 3

    26m <?php echo  $alt; ?>
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    Lecture 34_Part 2 – Models for Identification 4

    25m <?php echo  $alt; ?>
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    Lecture 35_Part 1 – One step and multi-step ahead prediction 1

    25m <?php echo  $alt; ?>
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    Lecture 35_Part 2 – One step and multi-step ahead prediction 2

    25m <?php echo  $alt; ?>
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    Lecture 36_Part 1 – One step and multi-step ahead prediction 3

    26m <?php echo  $alt; ?>
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    Lecture 36_Part 2 – One step and multi-step ahead prediction 4

    14m <?php echo  $alt; ?>
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    Lecture 36_Part 3 – One step and multi-step ahead prediction 5

    28m <?php echo  $alt; ?>
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    Lecture 37_Part 1 – Introduction to estimation theory 1

    28m <?php echo  $alt; ?>
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    Lecture 37_Part 2 – Introduction to estimation theory 2

    20m <?php echo  $alt; ?>
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    Lecture 38_Part 1 – Fisher’s information and properties of estimators 1

    26m <?php echo  $alt; ?>
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    Lecture 38_Part 2 – Fisher’s information and properties of estimators 2

    26m <?php echo  $alt; ?>
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    Lecture 39_Part 1 – Fisher’s information and properties of estimators 3

    26m <?php echo  $alt; ?>
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    Lecture 39_Part 2 – Fisher’s information and properties of estimators 4

    23m <?php echo  $alt; ?>
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    Lecture 40_Part 1 – Fisher’s information and properties of estimators 5

    23m <?php echo  $alt; ?>
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    Lecture 40_Part 2 – Fisher’s information and properties of estimators 6

    33m <?php echo  $alt; ?>
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    Lecture 41_Part 1 – Fisher’s information and properties of estimators 7

    33m <?php echo  $alt; ?>
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    Lecture 41_Part 2 – Fisher’s information and properties of estimators 8

    16m <?php echo  $alt; ?>
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    Lecture 42_Part 1 – Fisher’s information and properties of estimators 9

    32m <?php echo  $alt; ?>
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    Lecture 43_Part 1 – Fisher’s information and properties of estimators 11

    24m <?php echo  $alt; ?>
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    Lecture 43_Part 2 – Fisher’s information and properties of estimators 12

    19m <?php echo  $alt; ?>
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    Lecture 43_Part 3 – Fisher’s information and properties of estimators 13

    18m <?php echo  $alt; ?>
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    Lecture 43_Part 4 – Fisher’s information and properties of estimators 14

    19m <?php echo  $alt; ?>
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    Lecture 44_Part 1 – Fisher’s information and properties of estimators 15

    49m <?php echo  $alt; ?>
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    Lecture 45_Part 1 – Estimation of non-parametric model 1

    43m <?php echo  $alt; ?>
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    Lecture 45_Part 2 – Estimation of non-parametric model 2

    19m <?php echo  $alt; ?>
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    Lecture 46_Part 1 – Estimation of non-parametric model 3

    24m <?php echo  $alt; ?>
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    Lecture 46_Part 2 – Estimation of non-parametric model 4

    33m <?php echo  $alt; ?>
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    Lecture 47_Part 2 – Estimation of non-parametric model 4

    33m <?php echo  $alt; ?>
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    Lecture 47_Part 3 – Estimation of non-parametric model 5

    31m <?php echo  $alt; ?>
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    Lecture 48_Part 1 – Estimation of parametric model 1

    35m <?php echo  $alt; ?>
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    Lecture 48_Part 2 – Estimation of parametric model 2

    36m <?php echo  $alt; ?>
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    Lecture 48_Part 3 – Estimation of parametric model 3

    33m <?php echo  $alt; ?>
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    Lecture 49_Part 1 – Estimation of parametric model 4

    26m <?php echo  $alt; ?>
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    Lecture 49_Part 2 – State-Space/Subspace identification 1

    28m <?php echo  $alt; ?>
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    Lecture 50_Part 1 – State-Space/Subspace identification 2

    35m <?php echo  $alt; ?>
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    Lecture 50_Part 2 – State-Space/Subspace identification 3

    24m <?php echo  $alt; ?>
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    Lecture 51_Part 1 – State-Space/Subspace identification 4

    32m <?php echo  $alt; ?>
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    Lecture 51_Part 2 – State-Space/Subspace identification 5

    34m <?php echo  $alt; ?>
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    Lecture 51_Part 3 – State-Space/Subspace identification 6

    31m <?php echo  $alt; ?>
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    Lecture 51_Part 4 – State-Space/Subspace identification 7

    22m <?php echo  $alt; ?>
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    Lecture 51_Part 5 – State-Space/Subspace identification 8

    14m <?php echo  $alt; ?>
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    Lecture 52_Part 1 – Input for Identification

    31m <?php echo  $alt; ?>
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    Lecture 52_Part 2 – Input for Identification

    21m <?php echo  $alt; ?>
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    Lecture 52_Part 3 – Input for Identification

    29m <?php echo  $alt; ?>

Review & Ratings

5.0

1 Ratings

5 study24x7
 
100%
4 study24x7
 
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3 study24x7
 
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2 study24x7
 
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https://study247.s3-accelerate.amazonaws.com/studyx

Neesha Choudhary

25 Mar 2021 04:11 PM

Excellent

System Identification System Identification System Identification Like 1
System Identification System Identification Comment

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