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Course Description

Control engineering or control systems engineering is the engineering discipline that applies control theory to design systems with desired behaviors.

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Course Syllabus
  • Lec-1 The Control Problem
  • Lec-2 Some More Examples
  • Lec-3 Different kinds of Control Systems
  • Lec-4 History of Feedback
  • Lec-5 Modern Control Problems
  • Lec-6 DC Motor Speed Control
  • Lec-7 System Modelling, Analogy
  • Lec-8 Causes of System Error
  • Lec-9 Calculation of Error
  • Lec-10 Control System Sensitivity
  • Lec-11 Automic Control of DC Motor
  • Lec-12 Proportional Control
  • Lec-13 Non-Unity Feedback
  • Lec-14 Signal-Flow Graph
  • Lec-15 Masons Gain Formula
  • Lec-16 Signal-Flow Graph for DC Motor Control
  • Lec-17 Steady-State Calculations
  • Lec-18 Differential Equation Model&Laplace transformation Method
  • Lec-19 D-Operator Method
  • Lec-20 Second-Order System Response
  • Lec-21 Frequency Response
  • Lec-22 Laplace Transformation Theorems
  • Lec-23 Final-Value Theorem
  • Lec-24 Transfer Function and Pole-Zero Diagram
  • Lec-25 Good Poles and Bad Poles
  • Lec-26 Signal-Flow Graph with Transfer Functions
  • Lec-27 s-Domain and t-Domain
  • Lec-28 Second-Order System Response in s-Domain
  • Lec-29 Integral Feedback
  • Lec-30 Root-Locus Method
  • Lec-31 Root-Locus Rules
  • Lec-32 Asymptotes of Root Locus
  • Lec-33 Routh Array
  • Lec-34 Singular Cases
  • Lec-35 Closed-Loop Poles
  • Lec-36 Controller in the Forwarded Path
  • Lec-37 Mapping of Control in the Complex-Plane
  • Lec-38 Encirclement by a Curve
  • Lec-39 Nyquist Criterion
  • Lec-40 Application of the Nyquist Criterion

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