Course Content

Importance of mathematical modelling

5m 14s

Download & Installation of Simulink

2m 54s

Introduction to Simulink Interface & Libraries

13m 3s

Creating mathematical model in Simulink

21m 4s

Assignment : Introduction to the course and Simulink

1m 20s

MATLAB Simulation: Ohm's Law in Simulink

21m 45s

MATLAB Simulation: Kirchhoff's Current law in Simulink

13m 59s

MATLAB Simulation: Kirchhoff's Voltage law in Simulink

13m 16s

Application of KCL & KVL

5m 31s

Modelling Series Resistors in MATLAB Simulink

32m 56s

Modelling Parallel Resistors in MATLAB Simulink

27m 3s

Application of ohm's law, series & parallel circuits

13m 50s

Assignment : Basics of Electrical Circuits

1m 45s

Super Position Theorem in MATLAB Simulink Part 1

12m 40s

Super Position Theorem in MATLAB Simulink Part 2

23m 46s

Thevenin's Theorem in MATLAB Simulink

27m 8s

Norton's Theorem in MATLAB Simulink

28m 18s

Maximum Power Transfer Theorem in MATLAB Simulink

14m 3s

Reciprocity Theorem in MATLAB Simulink

12m 18s

Understanding Millman Theorem

17m 38s

Millman Theorem in MATLAB Simulink

10m 59s

Compensation Theorem in Simulink

21m 21s

Applications of Theorems

19m

Assignment : Advanced Circuit Analysis Techniques

1m 51s

Purely REsistive Circuit in MATLAB Simulink

33m 47s

Purely inductive circuit in MATLAB Simulink

15m 51s

Power Measurement of Purely inductive circuit in MATLAB Simulink

23m 36s

Purely Capacitive Circuit in MATLAB Simulink

13m 34s

Assignment : Circuit Behavior under Alternating Conditions

1m 11s

Simulation of R- L Series circuit in MATLAB Simulink

24m 37s

Power Measurement of R-L Series circuit in MATLAB Simulink

12m 16s

R-C Series circuit in MATLAB Simulink

22m 7s

R-L-C Series Circuit in MATLAB Simulink Part -1

21m 31s

R-L-C Series Circuit in MATLAB Simulink Part -2

31m 39s

Resonance (RLC Series circuit) in MATLAB Simulink

9m 50s

Assignment : Combinational Circuits under Alternating Conditions

1m 49s

Three Phase Circuits in Matlab Simulink Part 1

17m 36s

Three Phase Circuits in Matlab Simulink Part 2

12m 3s

Assignment : Three Phase Circuit and its relations

2m 41s

Open circuit Parameters in MATLAB Simulink

30m 26s

Short circuit Parameters in MATLAB Simulink

26m 57s

Assignment : Network Parameters

2m 33s

Case Study part 1

32m 21s

Case Study part 2

19m 45s

interview questions in simulink

6m 5s

Career Guideline

2m 35s

Course Summary

1m 42s

Complete MATLAB Simulink Course In Hindi

Basic Circuit Analysis Techniques Node Analysis in MATLAB Simulink

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  • node_analysis

Course Content

Importance of mathematical modelling

5m 14s

Download & Installation of Simulink

2m 54s

Introduction to Simulink Interface & Libraries

13m 3s

Creating mathematical model in Simulink

21m 4s

Assignment : Introduction to the course and Simulink

1m 20s

MATLAB Simulation: Ohm's Law in Simulink

21m 45s

MATLAB Simulation: Kirchhoff's Current law in Simulink

13m 59s

MATLAB Simulation: Kirchhoff's Voltage law in Simulink

13m 16s

Application of KCL & KVL

5m 31s

Modelling Series Resistors in MATLAB Simulink

32m 56s

Modelling Parallel Resistors in MATLAB Simulink

27m 3s

Application of ohm's law, series & parallel circuits

13m 50s

Assignment : Basics of Electrical Circuits

1m 45s

Super Position Theorem in MATLAB Simulink Part 1

12m 40s

Super Position Theorem in MATLAB Simulink Part 2

23m 46s

Thevenin's Theorem in MATLAB Simulink

27m 8s

Norton's Theorem in MATLAB Simulink

28m 18s

Maximum Power Transfer Theorem in MATLAB Simulink

14m 3s

Reciprocity Theorem in MATLAB Simulink

12m 18s

Understanding Millman Theorem

17m 38s

Millman Theorem in MATLAB Simulink

10m 59s

Compensation Theorem in Simulink

21m 21s

Applications of Theorems

19m

Assignment : Advanced Circuit Analysis Techniques

1m 51s

Purely REsistive Circuit in MATLAB Simulink

33m 47s

Purely inductive circuit in MATLAB Simulink

15m 51s

Power Measurement of Purely inductive circuit in MATLAB Simulink

23m 36s

Purely Capacitive Circuit in MATLAB Simulink

13m 34s

Assignment : Circuit Behavior under Alternating Conditions

1m 11s

Simulation of R- L Series circuit in MATLAB Simulink

24m 37s

Power Measurement of R-L Series circuit in MATLAB Simulink

12m 16s

R-C Series circuit in MATLAB Simulink

22m 7s

R-L-C Series Circuit in MATLAB Simulink Part -1

21m 31s

R-L-C Series Circuit in MATLAB Simulink Part -2

31m 39s

Resonance (RLC Series circuit) in MATLAB Simulink

9m 50s

Assignment : Combinational Circuits under Alternating Conditions

1m 49s

Three Phase Circuits in Matlab Simulink Part 1

17m 36s

Three Phase Circuits in Matlab Simulink Part 2

12m 3s

Assignment : Three Phase Circuit and its relations

2m 41s

Open circuit Parameters in MATLAB Simulink

30m 26s

Short circuit Parameters in MATLAB Simulink

26m 57s

Assignment : Network Parameters

2m 33s

Case Study part 1

32m 21s

Case Study part 2

19m 45s

interview questions in simulink

6m 5s

Career Guideline

2m 35s

Course Summary

1m 42s

FAQs

A nodal analysis is a special type of analysis where the resulting graph (e.g. circuit or network) is uniquely determined by its nodes and edges. Nodes are points in the graph on which the analysis focuses, while edges are all possible paths between these nodes.

Nodal analysis can be applied to both planar and non-planar networks since each node, whether it is planar or non-planar, can be assigned a voltage. Nodal analysis is a common tool used to study the network structure of an interconnected network. It is also known as nodal correlation, nodal filtering, or edge detection. Nodal analysis is a technique used to investigate the properties of networks. It is a simple concept that can be applied to both planar and non-planar networks. In this tutorial, we will explore the techniques that are used for nodal analysis .

The technique of nodal analysis is to find the most important node in a graph. This is used for situations where there are multiple nodes with the same relationship. The technique is mostly used in social networks and graphs where there are many nodes that have no relationship with each other. Steps To Solve Nodal Analysis : 1. Identify all nodes. 2. The goal is to identify a node in a graph whose voltage has the largest absolute value. A good choice is the node with the most branches, or a node which can immediately give you another node voltage (e.g., below a voltage source). 3. Voltage variables are stored in the node. We need to assign them to the other nodes of the graph(these are node voltages.) 4. Rearrange these equations into the form A*V1+B*V2=C (or similar for equations with more voltage variables.) 5. Solve the system of equations from step 4.There are a number of techniques that can be used to improve the quality of the AI writing assistants. In this paper, we will discuss one such technique called "Adjoint Matrix Method".

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