Control Theory Tutorial : : Basic Concepts Illustrated by Software Examples.

• Superior document: SpringerBriefs in Applied Sciences and Technology Series
• Author: Frank, Steven A.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2018.; ©2018.
• Year of Publication: 2018
• Edition: 1st ed.
• Language: English
• Series: SpringerBriefs in Applied Sciences and Technology Series
• Physical Description: 1 online resource (112 pages)

Table of Contents

• Intro
• Précis
• Preface
• Contents
• 1 Introduction
• 1.1 Control Systems and Design
• 1.2 Overview
• 1.2.1 Part I: Basic Principles
• 1.2.2 Part II: Design Tradeoffs
• 1.2.3 Part III: Common Challenges
• Part I Basic Principles
• 2 Control Theory Dynamics
• 2.1 Transfer Functions and State Space
• 2.2 Nonlinearity and Other Problems
• 2.3 Exponential Decay and Oscillations
• 2.4 Frequency, Gain, and Phase
• 2.5 Bode Plots of Gain and Phase
• 3 Basic Control Architecture
• 3.1 Open-Loop Control
• 3.2 Feedback Control
• 3.3 Proportional, Integral, and Derivative Control
• 3.4 Sensitivities and Design Tradeoffs
• 4 PID Design Example
• 4.1 Output Response to Step Input
• 4.2 Error Response to Noise and Disturbance
• 4.3 Output Response to Fluctuating Input
• 4.4 Insights from Bode Gain and Phase Plots
• 4.5 Sensitivities in Bode Gain Plots
• 5 Performance and Robustness Measures
• 5.1 Performance and Cost: J
• 5.2 Performance Metrics: Energy and H2
• 5.3 Technical Aspects of Energy and H2 Norms
• 5.4 Robustness and Stability: Hinfty
• Part II Design Tradeoffs
• 6 Regulation
• 6.1 Cost Function
• 6.2 Optimization Method
• 6.3 Resonance Peak Example
• 6.4 Frequency Weighting
• 7 Stabilization
• 7.1 Small Gain Theorem
• 7.2 Uncertainty: Distance Between Systems
• 7.3 Robust Stability and Robust Performance
• 7.4 Examples of Distance and Stability
• 7.5 Controller Design for Robust Stabilization
• 8 Tracking
• 8.1 Varying Input Frequencies
• 8.2 Stability Margins
• 9 State Feedback
• 9.1 Regulation Example
• 9.2 Tracking Example
• Part III Common Challenges
• 10 Nonlinearity
• 10.1 Linear Approximation
• 10.2 Regulation
• 10.3 Piecewise Linear Analysis and Gain Scheduling
• 10.4 Feedback Linearization
• 11 Adaptive Control
• 11.1 General Model
• 11.2 Example of Nonlinear Process Dynamics.
• 11.3 Unknown Process Dynamics
• 12 Model Predictive Control
• 12.1 Tracking a Chaotic Reference
• 12.2 Quick Calculation Heuristics
• 12.3 Mixed Feedforward and Feedback
• 12.4 Nonlinearity or Unknown Parameters
• 13 Time Delays
• 13.1 Background
• 13.2 Sensor Delay
• 13.3 Process Delay
• 13.4 Delays Destabilize Simple Exponential Decay
• 13.5 Smith Predictor
• 13.6 Derivation of the Smith Predictor
• 14 Summary
• 14.1 Feedback
• 14.2 Robust Control
• 14.3 Design Tradeoffs and Optimization
• 14.4 Future Directions
• References
• Index.