The Control Handbook: Control System Applications

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The Control Handbook: Control System Applications

Introduction

The Control Handbook: Control System Applications

    I have made two major changes in the second edition. The first is that all the Applications chapters are new. It is simply a fact of life in engineering that once a problem is solved, people are no longer as interested in it as they were when it was unsolved. I have tried to find especially inspiring and exciting applications for this second edition.

    Secondly, it has become clear to me that organizing the Applications book by academic discipline is no longer sensible. Most control applications are interdisciplinary. For example, an automotive control system that involves sensors to convert mechanical signals into electrical ones, actuators that convert electrical signals into mechanical ones, several computers and a communication network to link sensors and actuators to the computers does not belong solely to any specific academic area. You will notice that the applications are now organized broadly by application areas, such as automotive and aerospace.

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Table of Contents

SECTION I Automotive

1 Linear Parameter-Varying Control of Nonlinear Systems with Applications to Automotive and Aerospace Controls

2 Powertrain Control 

3 Vehicle Controls

4 Model-Based Supervisory Control for Energy Optimization of Hybrid-Electric Vehicles

5 Purge Scheduling for Dead-Ended Anode Operation of PEM Fuel Cells

SECTION II Aerospace

6 Aerospace Real-Time Control System and Software

7 Stochastic Decision Making and Aerial Surveillance Control Strategies

for Teams of Unmanned Aerial Vehicles 

8 Control Allocation

9 Swarm Stability

SECTION III Industrial

10 Control of Machine Tools and Machining Processes

11 Process Control in Semiconductor Manufacturing

12 Control of Polymerization Processes

13 Multiscale Modeling and Control of Porous Thin Film Growth 

14 Control of Particulate Processes

15 Nonlinear Model Predictive Control for Batch Processes 

16 The Use of Multivariate Statistics in Process Control

17 Plantwide Control

18 Automation and Control Solutions for Flat Strip Metal Processing

SECTION IV Biological and Medical

19 Model-Based Control of Biochemical Reactors

20 Robotic Surgery

21 Stochastic Gene Expression: Modeling, Analysis, and Identification

22 Modeling the Human Body as a Dynamical System: Applications to Drug Discovery and Development

SECTION V Electronics

23 Control of Brushless DC Motors

24 Hybrid Model Predictive Control of the Boost Converter

SECTION VI Networks

25 The SNR Approach to Networked Control

26 Optimization and Control of Communication Networks

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