Advanced Linear Continuous Control Systems | EveryEng

Skip to main content

14 min of video

10 open jobs require Engineering & Design right now IN 10view jobs →

Self-paced Advanced

Advanced Linear Continuous Control Systems

3(9)

67 views

FREE

848 min

Anytime

English

Engineering AcademyLearn Without Limits: Free Engineering Courses

Lifetime access
Certificate of completion
Anytime Learning
Learn from Industry Expert

Volume pricing for groups of 5+

Why enroll

Participants should join this course to build a strong foundation in advanced control systems using clear and practical explanations. It helps learners understand state-space modeling, stability, and controller design with real examples and MATLAB practice. The course is useful for both academic learning and real-world engineering applications.

Your instructor

Engineering Academy

Engineer

Learn Without Limits: Free Engineering Courses

5+ yrs experience·India

Is this course for you?

You should take this if

You work in Automotive
You're a Electrical 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
You need live interaction with an instructor

Course details

This course is designed to help learners clearly understand the principles and applications of advanced control engineering, which plays a vital role in many engineering fields such as electrical, mechanical, aerospace, robotics, and automation. As modern engineering systems become more complex and interconnected, a strong foundation in advanced control concepts is essential.The course mainly focuses on linear continuous-time control systems and builds a solid understanding of their fundamentals. It begins with system modeling using the state-space approach, explaining how physical systems can be represented using state variables. Learners will study state equations, state transition matrices, and different methods to solve state-space models.A significant part of the course is devoted to stability analysis in the state-space framework, helping students understand how system behavior changes over time and how stability can be assessed mathematically. The course then moves on to important system properties such as controllability and observability, which are essential for effective control system design.Further, learners will explore controller design and observer design techniques, enabling them to design systems that meet desired performance requirements even when all state variables are not directly measurable. Throughout the course, theoretical concepts are reinforced using numerical problems, practical engineering examples, and MATLAB programming, making it easier to connect theory with real-world applications.Overall, this course equips students, researchers, and practicing engineers with the analytical and practical skills needed to model, analyze, and design advanced control systems confidently.

Source: IIT Roorkee July 2018 [Youtube Channel]

Course suitable for

Key topics covered

Advanced Linear Continuous Control Systems
Introduction to State Space
State Space Representation
State Space Representation: Companion Form (Controllable Canonical Form)
State Space Representation: Extended Controllable Canonical Form
State Space Representation: Observable Canonical Form
State Space Representation: Diagonal Canonical Form (Part-I)
State Space Representation: Diagonal Canonical Form (Part-II)
State Space Representation: Jordan Canonical Form
State Space Representation: Numerical Examples on State space Modelling (Part-I)
State Space Representation: Numerical Examples on State space Modelling (Part-II)
Modelling of Mechanical Systems in State Space
Modelling of DC Servo Motor (Part-I)
Modelling of DC Servo Motor (Part-II)
Determination of Transfer Function from State Space Model (Part-II)
Determination of Transfer Function from State Space Model (Part-I)
Stability Analysis in State Space (Part-II)
Stability Analysis in State Space: Concept of Eigenvalues and Eigenvectors (Part-I)
Stability Analysis in State Space: Lyapunov Stability Analysis (Direct Method) Part-V
Stability Analysis in State Space: Lyapunov Stability Analysis (Stability Criterion) Part-IV
Stability Analysis in State Space: Lyapunov Stability Analysis (Sylvester’s Criterion) Part-III
Concept of Diagonalization
Solution of State Equation
Solution of State Equation (Forced System)
State Transition Matrix (Part-I)
Steady State Error for State Space System
State Transition Matrix (Part-II)
State Transition Matrix using Cayley-Hamilton Theorem (Part-III)
Controllability in State Space (Part-I)
MATLAB Programming with State Space

Course content

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

30 lectures14 hr 8 min

Opportunities that await you!

Skills & tools you'll gain

Engineering & Design

Project Management

Research & Developmnet

Career opportunities

Our Alumni Work At

Why people choose EveryEng

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

What learners say about this course

Boora Mahesh civil engineer

Mar 14, 2026

drtudfjygfygughihj

Hemanth TK

Feb 27, 2026

Fhjfkgc

Bhavani S Student

Feb 22, 2026

Nice

Jayalaxmi Sudi

Feb 15, 2026

Good

FREE

Access anytime

Questions and Answers

No questions yet - Be the first one to ask!