Digital Textbook

Control Systems

From a single feedback loop to state-space and digital control — a complete, chapter-by-chapter course in the analysis and design of control systems

Prof. Mithun Mondal EEE / ECE / EIE Undergraduate Course Free & Open Access
7Parts
30Chapters
3Analysis Domains
Welcome

One feedback principle, built one chapter at a time

This is a living, web-native edition of a classic course in Control Systems. Each of the 30 chapters lives on its own page — readable on any device, searchable, and free to share. The journey starts with how we capture a physical system as a mathematical model and ends with the design of controllers that make real machines behave — fast, accurate, and stable.

The sequence follows the standard electrical, electronics, and instrumentation engineering undergraduate syllabus, building from system modeling and transfer functions through time-domain response, stability and the root locus, frequency-domain methods, controller and compensator design, the state-space framework, and finally digital and advanced control. Pick any chapter below to begin, or follow the seven parts in order for a complete first course.

How to use this book. Each part groups chapters by theme — first how a system is modeled and represented, then how it responds in time, how we judge and shape its stability in both the time and frequency domains, and finally how we design controllers for it using classical, state-space, and digital techniques. Click a chapter card to open its dedicated page with concepts, equations, worked reasoning, and figures.
Part 1

Modeling & System Representation

Open vs Closed Loop · Modeling · Laplace · Transfer Functions · Block Diagrams · SFG

Part 2

Time-Domain Analysis

Test Signals · First Order · Second Order · Transient Specs · Steady-State Error

Part 3

Stability and the Root Locus

BIBO Stability · Routh–Hurwitz · Root Locus · Locus Design

Part 4

Frequency-Domain Analysis

Bode · Polar · Nyquist Criterion · Gain & Phase Margins · Nichols

Part 5

Controllers & Compensator Design

P · PI · PD · PID · Tuning · Lead–Lag Compensation

Part 6

State-Space Analysis

State Variables · State Transition Matrix · Controllability · Observability · Pole Placement

Part 7

Digital & Advanced Control

Z-Transform · Sampled-Data · Digital Design · Nonlinear · Optimal & Adaptive

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Start Here
Begin with Chapter 1 — Introduction to Control Systems

Every controller rests on one idea: measure the output, compare it to what you wanted, and feed the difference back. The first chapter builds that foundation — open- versus closed-loop control, the language of plants, sensors, and feedback, and the real-world examples the entire course is built around. Open Chapter 1 →