This course introduces students to the analysis, modelling, design, and simulation of linear control systems. It provides foundational knowledge in feedback control, system stability, time and frequency response analysis, and computer-aided control engineering tools such as MATLAB and SIMULINK for solving practical engineering problems.

1. Explain the principles and classifications of linear control systems, including feedback control concepts and system representations.
   
2. Analyze transient response, steady-state response, and stability characteristics of first-order and second-order control systems.
   
3. Apply control system analysis and design techniques such as Routh stability criterion, root locus, Bode plots, and Nyquist plots.
   
4. Develop and simulate control system models using computer-aided engineering tools such as MATLAB and SIMULINK.
   

1. Introduction to Control Systems – Covers the
   fundamental concepts of linear control systems including open-loop
   and closed-loop systems together with examples of simple control systems.
   
2. System Classification and Properties – Introduces
   the classification of systems such as linear and nonlinear systems,
   continuous-time and discrete-time systems, time-variant and
   time-invariant systems, and SISO and MIMO systems together with
   system order and type.
   
3. Feedback Dynamics and Effects – Discusses feedback
   control systems including positive and negative feedback, effects
   of feedback on system response, and the advantages and disadvantages
   of feedback in engineering systems.
   
4. Mathematical Modelling of Control Systems – Focuses
   on system representation using differential equations, transfer
   functions, poles, zeros, impulse response, and mathematical analysis
   techniques for control systems.
   
5. Block Diagrams, Signal Flow Graphs, and Mason’s Rule
   – Covers graphical methods of representing systems including block
   diagrams, signal flow graphs, and the application of Mason’s Rule
   for system analysis.
   
6. Transient and Steady-State Response – Examines the
   transient and steady-state response of first-order and second-order
   systems including delay time, rise time, peak time, settling time,
   maximum overshoot, and steady-state error analysis.
   
7. Stability and the Routh-Hurwitz Criterion –
   Introduces stable and unstable systems, characteristic equations,
   root locations in the s-plane, and the use of Routh’s stability
   criterion for stability analysis.
   
8. Root Locus Method – Covers root loci, plotting
   techniques, interpretation of root locus diagrams, and system
   design using root locus methods together with computer-aided analysis.
   
9. Frequency Response Analysis – Discusses Bode plots,
   Nyquist plots, Nichols charts, gain margin, phase margin, and
   computer-aided plotting techniques for frequency response analysis.
   
10. Control System Modelling, Simulation, and Case Studies
    – Focuses on simulation and analysis of control systems using
    computer-aided engineering software such as MATLAB Control Systems
    Toolbox and SIMULINK together with practical engineering case studies.