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Nonlinear Dynamical Systems and Control

Nonlinear Dynamical Systems and Control banner
Preview this course
Self-paced Advanced

Nonlinear Dynamical Systems and Control

3(115)
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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

Opportunities that await you!

Skills & tools you'll gain

Engineering & DesignProject ManagementResearch & Developmnet

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