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    Quick Facts

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

    Important dates

    Certificate Exam Date

    Start Date : 19 Apr, 2026

    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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