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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
INR 1000yesIIT Kanpur

The Syllabus

  • State space modelling, 
  • State transition matrix. 
  • Canonical transformations – significance of real distinct, 
  • Repeated and complex Eigen values, Examples

  • Controllability and observability
  • Designing state feedback controllers
  • Method for finding feedback gains, Examples

  • The State observer design
  • Observer dynamics faster than closed loop dynamics 
  • Bass Gura formulation and Ackerman’s formula, SISO and MIMO systems. Examples

  • Optimal state space control system design
  • Longitudinal / lateral stability augmentation systems, autopilot design. Examples

  • Optimal state space control system design
  • Longitudinal / lateral stability augmentation systems, autopilot design. Examples. (Cont.)

  • Basics of nonlinear control
  • Lyapunov stability theory
  • Criteria for local and global stability
  • Feedback linearization technique. Input output linearization

  • Backstepping Control
  • Sliding mode control
  • Backstepping sliding mode control
  • Adaptive Control
  • Adaptive integrator backstepping control. Examples

  • Backstepping Control
  • Sliding mode control
  • Backstepping sliding mode control
  • Adaptive Control
  • Adaptive integrator backstepping control. Examples (Cont.)

  • Basics of MATLAB/SIMULINK
  • Simulation of linear systems
  • Simulating spring mass damper system and pendulum system
  • Implementing state-space models in Simulink

  • Simulation of nonlinear controllers for general systems
  • Simulating aircraft nonlinear 6 degree of freedom equations of motion in MATLAB / SIMULINK
  • Simulating aircraft motion using state space model

  • Simulation of nonlinear controllers for general systems
  • Simulating aircraft nonlinear 6 degree of freedom equations of motion in MATLAB / SIMULINK 
  • Simulating aircraft motion using state space model. (Cont.)

  • Integrating PID controller to the Simulink model
  • Implementing nonlinear controllers such as sliding mode, backstepping to the aircraft model

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