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Contents

Control Systems

Introduction

Open Loop Systems Closed Loop Systems Control System Components Transfer Function Block Diagram Basics Block Diagram Reduction Signal Flow Graph Construction Mason Gain Formula

Time Domain Analysis

Test Input Signals First Order System Response Second Order System Parameters Second Order Underdamped Response Second Order Overdamped Response Second Order Critically Damped Response Time Domain Specifications System Type Number Steady State Error Steady State Error Improvement Dominant Poles

Stability Analysis

BIBO Stability Routh-Hurwitz Criterion Routh Array Special Case Zero Element Routh Array Special Case Zero Row Root Locus Concept Root Locus Construction Rules Root Locus Breakaway Points Root Locus Angle of Departure Root Locus and Stability Complementary Root Locus

Frequency Response

Frequency Response Concept Bode Plot Construction Bode Plot of First Order System Bode Plot of Second Order System Gain Margin Phase Margin Gain and Phase Margin from Bode Polar Plot Nyquist Plot Construction Nyquist Stability Criterion Nichols Chart All Pass and Minimum Phase Systems

Compensators

Lead Compensator Design Lag Compensator Design Lead-Lag Compensator P Controller PI Controller PD Controller PID Controller Ziegler-Nichols Tuning

State Space

State Variables State Space Representation State Space from Transfer Function Transfer Function from State Space State Transition Matrix Controllability Observability State Feedback Control Observer Design Diagonalization

Digital Control

Sampled Data Systems Z-Domain Analysis Digital PID Controller Stability in Z-Domain Bilinear Transformation w-domain

Other Topics

Other Subjects

Analog Electronics Digital Electronics Signals & Systems Electromagnetic Theory Digital Communication Analog Communication Network Analysis Microprocessors VLSI Design Verilog HDL Power Electronics Embedded Systems DSP Electronic Devices

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2 of 10 articles

State Space Representation

Dot-x = Ax + Bu, y = Cx + Du matrices.

Updated: 19 March 2026

8 min read

#Control Systems

State Space Matrices

Test your ability to identify and interpret the A, B, C, D matrices in state space representation.

Question 1 of 3

Q1.For a SISO LTI system with state equation x_dot = Ax + Bu and output y = Cx + Du, if the system has n states, p inputs, and q outputs, what are the dimensions of matrix B?

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H(s) = C(sI-A)^(-1)B + D derivation.

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State Feedback Control

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State Transition Matrix

e^(At), matrix exponential, homogeneous solution.

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Diagonalization

Eigenvalue decomposition, decoupled state equations.

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Observer Design

State estimation, Luenberger observer, observability.

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State Variables

State Space from Transfer Function