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Self-paced Advanced

Nonlinear Dynamical Systems and Control

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FREE
633 min
Anytime
English
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Why enroll

Participants should join this course to gain a strong foundation in nonlinear control, which is essential in modern engineering systems. It helps develop clear analytical thinking and practical skills needed for research, higher studies, and advanced control applications in industry.

Is this course for you?

You should take this if

  • You work in Automotive
  • You're a Electrical Engineering professional
  • You have 3+ years of hands-on experience in this field
  • You want to build skills in Engineering & Design, Project Management

You should skip if

  • You're new to this field with no prior experience
  • You need a different specialisation outside Electrical Engineering
  • You need live interaction with an instructor

Course details

This course introduces the basic ideas of stability and control for nonlinear systems that are commonly described using differential equations. It starts by explaining how to analyze the behavior of nonlinear systems over time, especially whether a system remains stable or becomes unstable. A major focus is on Lyapunov methods, which provide simple and powerful tools to study system stability without solving complex equations. The course then shows how these ideas are used in designing controllers for both linear and nonlinear systems. Participants will learn how to handle uncertainties and disturbances using robust control techniques. Adaptive control concepts are introduced to deal with systems whose parameters change over time. The course also explains feedback linearization, a method to simplify nonlinear systems for control design. Realistic examples help connect theory with practical applications.

Source: NPTEL NOC IITM [Youtube Channel]

Course suitable for

Key topics covered

  • Introduction – Part 1

  • Introduction – Part 2

  • Ordinary Differential Equations – Part 1

  • Ordinary Differential Equations – Part 2

  • ODE Solutions via Examples

  • Solutions to ODEs

  • Existence and Uniqueness Theorems

  • Asymptotic Behaviour of Dynamical Systems – Part 1

  • Asymptotic Behaviour of Dynamical Systems – Part 2

  • Asymptotic Behaviour of Dynamical Systems – Part 3

  • Stability Theory: Definitions – Part 1

  • Stability Theory: Definitions – Part 2

  • Stability Theory: Lyapunov Methods – Part 1

  • Stability Theory: Lyapunov Methods – Part 2

  • Lyapunov Function Examples

  • LaSalle’s Invariance Theorem

  • Stability Theory: Converse Lyapunov and Instability Theorems

  • Solved Problems – Part 1

  • Solved Problems – Part 2

  • Linear Systems – Part 1

  • Linear Systems – Part 2

  • Linearization of Nonlinear Systems

  • Linear Systems and Linearization: Solved Problems – Part 1

  • Linear Systems and Linearization: Solved Problems – Part 2

  • Nonlinear Analysis: Key Concepts and Results – Part 1

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

25 lectures10 hr 33 min
  1. Introduction video - Nonlinear Dynamical Systems and Control
    10 min
  2. Introduction - Part 1
    23 min
  3. Introduction - Part 2
    21 min
  4. Ordinary Differential Equations – Part 1
    19 min
  5. Ordinary Differential Equations - Part 2
    26 min
  6. ODE Solutions via Examples
    26 min
  7. Solutions to ODEs
    28 min
  8. Existence and Uniqueness Theorems
    30 min
  9. Asymptotic Behaviour of Dynamical Systems – Part 1
    36 min
  10. Asymptotic Behaviour of Dynamical Systems: Part 2
    22 min
  11. Asymptotic Behaviour of Dynamical Systems – Part 3
    35 min
  12. Stability Theory: Definitions – Part 1
    23 min
  13. Stability Theory: Definitions - Part 2
    34 min
  14. Stability Theory: Lyapunov Methods – Part 1
    26 min
  15. Stability Theory: Lyapunov Methods - Part 2
    19 min
  16. Lyapunov Function Examples
    33 min
  17. LaSalle’s Invariance Theorem
    34 min
  18. Stability Theory: Converse Lyapunov & Instability Theorems
    21 min
  19. Solved Problems – Part 1
    28 min
  20. Solved Problems - Part 2
    25 min
  21. Linear Systems – Part 1
    31 min
  22. Linear Systems - Part 2
    24 min
  23. Linearization of Nonlinear Systems
    15 min
  24. Linear Systems & Linearization: Solved Problems – Part 1
    24 min
  25. Linear Systems & Linearization: Solved Problems – Part 2
    20 min

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Questions and Answers

A: The correct choice identifies a consequence that anti-windup doesn't address because it only manages integrator state, not energy dissipation in silicon. A confuses the very failure anti-windup is meant to prevent under saturation. C mixes a friction-driven nonlinear oscillation that anti-windup neither causes nor cures but isn't the dominant sustained-risk here. D describes a voltage limit event during transients, outside the steady saturation case under review.

A: The correct choice captures that squaring the speed pushes gains higher than planned at the top end, directly hitting noise and phase margin. A assumes equivalence between |ω| and ω² that doesn't hold dimensionally. B flips the effect since ω² is smaller than |ω| near zero, not larger. D invents a sign-change issue that the absolute value already removed.

A: The correct choice explains a self-sustained oscillation that survives stable linear gains because the integrator winds through a deadzone. A would show divergent or damped behavior, not a bounded cycle. C introduces noise-like disturbances rather than a clean periodic pattern. D shifts steady-state error and transient response but doesn't create a limit cycle by itself.

A: The correct choice achieves reduced chattering while preserving robustness by softening the discontinuity. A worsens EMI and actuator wear despite better reachability. C helps sampling artifacts but leaves the core nonlinearity intact. D changes surface dynamics but doesn't remove high-frequency switching.