Advance Control System
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Follow on Instagram for UpdatesAdvance Control System Syllabus — Unit-wise Content
The official GTU curriculum for Advance Control System (subject code 3714702) as prescribed for M · Semester 1 divides the course into 5 units, covering 37 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3714702)Unit 1 INTRODUCTION
- ADVANCE CONTROL SYSTEMS Requirements of Advance Control Systems
- Various Advance Control Systems Techniques
- Performance Measure for Control Systems
- Time & Frequency Domain Design
- Outline of various compensation techniques: Pahse-Lead
- P/PI/PD/PID controllers
Unit 2 NONLINEAR CONTROL SYSTEMS
- Introduction to nonlinear systems
- standard nonlinearities in control systems
- Describing function analysis of nonlinear control systems
- stability of sustained oscillations or limit cycle
- Concepts of phase plane analysis
- phase plane portraits
- phase plane analysis of linear and nonlinear control system
- Lyapunov stability theorems
- Lyapunov functions for nonlinear systems
Unit 3 DIGITAL / DISCRETE TIME CONTROL SYSTEMS
- Introduction to discrete time systems
- Analog and digital controllers
- Derivation of z-transform of standard functions
- difference equation and its solution by the z-transform method
- initial and final value theorem
- inverse z-transform using infinite series and partial fraction methods
- pulse transfer function
- pulse transfer function of closed-loop system using signal flow graph technique
- stability analysis in z-plane
Unit 4 STATE-SPACE ANALYSIS OF CONTROL SYSTEMS
- Limitations of conventional control theory
- state-variables and state vectors
- state-space representation of higher order systems with forcing functions
- solution of homogeneous and non-homogeneous state equations in time-domain and frequency-domain
- matrix exponential
- state- transition matrix
- transfer matrix
Unit 5 INTELLIGENT CONTROL SYSTEMS
- Fuzzy control systems
- Neural Network based control
- Adaptive Control Systems
- Model reference Adaptive Control
- Reinforcement Learning Control
- Embedded Control Systems
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