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Optimal Control

Engineering Academy

Engineering Academy

Learn Without Limits: Free Engineering Courses

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Optimal Control

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    Engineering Academy

    Engineering Academy

    Learn Without Limits: Free Engineering Courses

  • Course type

    Watch to learn anytime

  • Course duration

    1425 Min

  • Course start date & time

    Access anytime

  • Language

    English

Why enroll

Participants join this course to build strong problem-solving skills needed in engineering, economics, and data-driven fields. It helps learners understand how to make the best decisions under limitations using clear and practical methods

Opportunities that awaits you!

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Career opportunities

Course content

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

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Optimal Control

25 Lectures

1425 min

  • Lesson icon

    Introduction to Optimization

    Preview icon

    Preview

    55 min

  • Lesson icon

    Introduction to Optimization (Contd.)

    57 min

  • Lesson icon

    Optimality Conditions for function of several variables

    57 min

  • Lesson icon

    Optimality Conditions for function of several variables (Contd.)

    57 min

  • Lesson icon

    Unconstrained optimization problem (Numerical Techniques)

    58 min

  • Lesson icon

    Solution of unconstarined optimization problem using conjugate gradient method

    58 min

  • Lesson icon

    Solution of unconstarined optimization problem using conjugate gradient method.

    57 min

  • Lesson icon

    Solution of contraint optimization problems - karush - kuhn Tucker (KKT) conditions

    57 min

  • Lesson icon

    Solution of contraint optimization problems - karush - kuhn Tucker (KKT)

    59 min

  • Lesson icon

    Problem Solution Session

    56 min

  • Lesson icon

    Post optimality analysis, convex function and its properties

    56 min

  • Lesson icon

    Post optimality analysis, convex function and its properties (Contd.)

    57 min

  • Lesson icon

    Quadratic optimization problem using Linear Programming

    58 min

  • Lesson icon

    Matrix form of the Simplex Method

    56 min

  • Lesson icon

    Matrix form of the Simplex Method (Contd.)

    55 min

  • Lesson icon

    Solution of Linear Programming using Simplex Method - Algebraic Approach

    57 min

  • Lesson icon

    Solution of Linear Programming using Simplex Method - Algebraic Approach (Contd.)

    57 min

  • Lesson icon

    Solution of LP problems with Two - Phase Method

    57 min

  • Lesson icon

    Solution of LP problems with Two - Phase Method (Contd.)

    59 min

  • Lesson icon

    Standard Primal and Dual problems

    55 min

  • Lesson icon

    Relationship between Primal and Dual Variables

    58 min

  • Lesson icon

    Solution of Quadratic Programming problem using Simplex Method

    57 min

  • Lesson icon

    Interior point method for solving optimization problems

    55 min

  • Lesson icon

    Interior point method for solving optimization problems (Contd.)

    58 min

  • Lesson icon

    Solution Non linear Programming Problem using Exterior Penalty Function Method

    59 min

Course details

This course introduces the idea of optimization in a clear and easy way, focusing on how to find the best possible solution to a problem under given conditions. You will first understand what optimization means and why it is important in engineering, science, and real-life decision making. The course explains different types of optimization problems using simple examples. You will learn how to represent problems using mathematical functions and constraints. Static optimization is covered to show how optimal solutions are found at a single point in time. Dynamic optimization is then introduced to handle problems that change over time. The course gradually builds your ability to analyze and solve optimization problems step by step. Emphasis is placed on understanding concepts rather than memorizing formulas. Standard textbooks are used to support learning and provide practice problems. By the end, you will be confident in formulating and solving basic optimization problems.

Source: nptelhrd [Youtube Channel]

Course suitable for

  • Automotive
  • Electronics & Instrumentation
  • Electrical
  • Engineering & Design
  • Project Management
  • Research & Developmnet

Key topics covered

  • Introduction to Optimization

  • Introduction to Optimization (Contd.)

  • Optimality Conditions for function of several variables

  • Optimality Conditions for function of several variables (Contd.)

  • Unconstrained optimization problem (Numerical Techniques)

  • Solution of unconstarined optimization problem using conjugate gradient method

  • Solution of unconstarined optimization problem using conjugate gradient method.

  • Solution of contraint optimization problems - karush - kuhn Tucker (KKT) conditions

  • Solution of contraint optimization problems - karush - kuhn Tucker (KKT)

  • Problem Solution Session

  • Post optimality analysis, convex function and its properties

  • Post optimality analysis, convex function and its properties (Contd.)

  • Quadratic optimization problem using Linear Programming

  • Matrix form of the Simplex Method

  • Matrix form of the Simplex Method (Contd.)

  • Solution of Linear Programming using Simplex Method - Algebraic Approach

  • Solution of Linear Programming using Simplex Method - Algebraic Approach (Contd.)

  • Solution of LP problems with Two - Phase Method

  • Solution of LP problems with Two - Phase Method (Contd.)

  • Standard Primal and Dual problems

  • Relationship between Primal and Dual Variables

  • Solution of Quadratic Programming problem using Simplex Method

  • Interior point method for solving optimization problems

  • Interior point method for solving optimization problems (Contd.)

  • Solution Non linear Programming Problem using Exterior Penalty Function Method

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities—all in a flexible and supportive environment.

Engineering Academy

Engineering Academy

Learn Without Limits: Free Engineering Courses

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