Linear Control Systems (LCS)

Last Update August 28, 2025
16 already enrolled

About This Course

This course provides a comprehensive introduction to the theory and application of classical and modern linear control systems. It is designed to build a strong foundation in modeling, analysis, and design of dynamic systems. Emphasis is placed on understanding system behavior in both the time and frequency domains, along with an introduction to state-space techniques for modern control design.

The course is delivered by a highly experienced and reputed professor, bringing in-depth academic knowledge and industry insights to ensure practical learning and conceptual clarity.

Course Objectives

  1. To develop foundational skills in applying mathematical tools for the analysis and design of classical linear control systems.

  2. To understand and construct state-space representations of dynamic control systems.

Course Outcomes

Upon successful completion of the course, students will be able to:

  1. Comprehend the fundamental concepts of control systems, feedback mechanisms, and mathematical modeling of electrical and mechanical systems.

  2. Analyze control systems using time-domain and frequency-domain methods.

  3. Apply various analytical techniques to assess the stability of control systems.

  4. Understand the significance and design principles of compensators.

  5. Demonstrate knowledge of controllability and observability in modern state-space control systems.

Suggested Reading

  1. I.J. Nagrath & M. Gopal, Control System Engineering, Wiley Eastern, 2003.

  2. B.C. Kuo, Automatic Control Systems, 7th Edition, Wiley India, 2002.

  3. Katsuhiko Ogata, Modern Control Engineering, 4th Edition, Prentice Hall of India, 2002.

  4. N.C. Jagan, Control Systems, 2nd Edition, B.S. Publications, 2008.

Curriculum

51 Lessons

Module I: Introduction to Control Systems

Class PPT Introduction to Linear Control Systems
Introduction
Classification of control systems
Feed-Back Characteristics, Effects of feedback
Feed-Back Characteristics, Effects of feedback (copy)
Mathematical modeling of Electrical systems
Mathematical modeling of Mechanical systems
Transfer function
Transfer function of Potentiometer
Transfer function of Synchro
Transfer function of AC servo motor
Transfer function of DC servo motor
Block diagram reduction technique
Signal flow graph (SGF)Preview
Mason’s gain formula

Module 2: Time Domain Analysis

Module 3: Stability Analysis in S-Domain

Module 4: Frequency Response Analysis

Module 5: State Space Analysis

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Your Instructors

Mallesham G

Professor

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Dr. G. Mallesham is a Professor in the Department of Electrical Engineering, University College of Engineering, Osmania University. He possesses expertise in Control Engineering, Smart Grid Technologies, Renewable Energy Systems, and Artificial Intelligence Systems. Having undergone advanced academic exposure in both India and the USA, he has also served in several key leadership positions at Osmania University.

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sreenu ch

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