The Control Handbook, 2nd Edition (3 Volume Set)

At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by the AAP as the Best Engineering Handbook of 1996.

Now, 15 years later, William Levine has once again compiled the most comprehensive and authoritative resource on control engineering. He has fully reorganized the text to reflect the technical advances achieved since the last edition and has expanded its contents to include the multidisciplinary perspective that is making control engineering a critical component in so many fields.

Now expanded from one to three volumes, The Control Handbook, Second Edition brilliantly organizes cutting-edge contributions from more than 200 leading experts representing every corner of the globe. They cover everything from basic closed-loop systems to multi-agent adaptive systems and from the control of electric motors to the control of complex networks. Progressively organized, the three volume set includes:

• Control System Fundamentals
• Control System Applications
• Control System Advanced Methods

Any practicing engineer, student, or researcher working in fields as diverse as electronics, aeronautics, or biomedicine will find this handbook to be a time-saving resource filled with invaluable formulas, models, methods, and innovative thinking. In fact, any physicist, biologist, mathematician, or researcher in any number of fields developing or improving products and systems will find the answers and ideas they need. As with the first edition, the new edition not only stands as a record of accomplishment in control engineering but provides researchers with the means to make further advances.

Volume I : Control System Fundamentals

Preface
Acknowledgment
Editor
Contributors

Section I : Mathematical Foundations
Chapter 1 : Ordinary Linear Differential and Difference Equations
Chapter 2 : The Fourier, Laplace, and z-Transforms
Chapter 3 : Matrices and Linear Algebra
Chapter 4 : Complex Variables

Section II : Models for Dynamical Systems
Chapter 5 : Standard Mathematical Models
Chapter 6 : Graphical Models

Section III : Analysis and Design Methods for Continuous-Time Systems
Chapter 7 : Analysis Methods
Chapter 8 : Stability Tests
Chapter 9 : Design Methods

Section IV : Digital Control
Chapter 10 : Discrete-Time Systems
Chapter 11 : Sampled Data Systems
Chapter 12 : Discrete-Time Equivalents to Continuous-Time Systems
Chapter 13 : Design Methods for Discrete-Time, Linear Time-Invariant Systems
Chapter 14 : Quantization Effects
Chapter 15 : Sample-Rate Selection
Chapter 16 : Real-Time Software for Implementation of Feedback Control
Chapter 17 : Programmable Controllers

Section V : Analysis and Design Methods for Nonlinear Systems
Chapter 18 : Analysis Methods
Chapter 19 : Design Methods

Index

Volume II : Control System Application

Preface
Acknowledgment
Editor
Contributors

Section I : Automotive
Chapter 1 : Linear Parameter-Varying Control of Continuous-Time Nonlinear Systems
Chapter 2 : Powertrain Control
Chapter 3 : Vehicle Controls
Chapter 4 : Model-Based Supervisory Control for Energy Optimization of Hybrid-Electric Vehicles
Chapter 5 : Purge Scheduling for Dead-Ended Anode Operation of PEM Fuel Cells

Section II : Aerospace
Chapter 6 : Aerospace Real-Time Control System and Software
Chapter 7 : Stochastic Decision Making and Aerial Surveillance Control Strategies for Teams of Unmanned Aerial Vehicles
Chapter 8 : Control Allocation
Chapter 9 : Swarm Stability

Section III : Industrial
Chapter 10 : Control of Machine Tools and Machining Processes
Chapter 11 : Process Control in Semiconductor Manufacturing
Chapter 12 : Control of Polymerization Processes
Chapter 13 : Multiscale Modeling and Control of Porous Thin Film Growth
Chapter 14 : Control of Particulate processes
Chapter 15 : Nonlinear Model Predictive Control for Batch Processes
Chapter 16 : The Use of Multivariate Statistics in Process Control
Chapter 17 : Plantwide Control
Chapter 18 : Automation and Control Solutions for Flat Strip Metal Processing

Section IV : Biological and Medical
Chapter 19 : Model-Based Control of Biochemical Reactors
Chapter 20 : Robotic Surgery
Chapter 21 : Stochastic Gene Expression: Modeling, Analysis, and Identification
Chapter 22 : Modeling the Human Body as a Dynamical System: Applications to Drug Discovery and Development

Section V : Electronics
Chapter 23 : Control of Brushless DC Motors
Chapter 24 : Hybrid Model Predictive Control of the Boost Converter

Section VI : Networks
Chapter 25 : The SNR Approach to Networked Control
Chapter 26 : Optimization and Control of Communication Networks

Section VII : Miscellaneous
Chapter 27 : Advanced Motion Control Design
Chapter 28 : Color Controls: An Advanced Feedback System
Chapter 29 : The Construction of Portfolios of Financial Assets: An Application of Optimal Stochastic Control
Chapter 30 : Earthquake Response Control for Civil Structures
Chapter 31 : Quantum Estimation and Control
Chapter 32 : Motion Control of Marine Craft
Chapter 33 : Control of Unstable Oscillations in Flows
Chapter 34 : Modeling and Control of Air Conditioning and Refrigeration Systems

Index

Volume III : Control System Advanced Methods

Preface
Acknowledgment
Editor
Contributors

Section I : Analysis Methods for MIMO Linear Systems
Chapter 1 : Numerical and Computational Issues in Linear Control and System Theory
Chapter 2 : Multivariable Poles, Zeros, and Pole-Zero Cancellations
Chapter 3 : Fundamentals of Linear Time-Varying Systems
Chapter 4 : Balanced Realizations, Model Order Reduction, and the Hankel Operator
Chapter 5 : Geometric Theory of Linear Systems
Chapter 6 : Polynomial and Matrix Fraction Descriptions
Chapter 7 : Robustness Analysis with Real Parametric Uncertainty
Chapter 8 : MIMO Frequency Response Analysis and the Singular Value Decomposition
Chapter 9 : Stability Robustness to Unstructured Uncertainty for Linear Time Invariant Systems
Chapter 10 : Trade-Offs and Limitations in Feedback Systems
Chapter 11 : Modeling Deterministic Uncertainty

Section II : Kalman Filter and Observers
Chapter 12 : Linear Systems and White Noise
Chapter 13 : Kalman Filtering
Chapter 14 : Riccati Equations and their Solution
Chapter 15 : Observers

Section III : Design Methods for MIMO LTI Systems
Chapter 16 : Eigenstructure Assignment
Chapter 17 : Linear Quadratic Regulator Control
Chapter 18 : H2 (LQG) and H8 Control
Chapter 19 : l1 Robust Control: Theory, Computation, and Design
Chapter 20 : The Structured Singular Value (µ) Framework
Chapter 21 : Algebraic Design Methods
Chapter 22 : Quantitative Feedback Theory (QFT) Technique
Chapter 23 : Robust Servomechanism Problem
Chapter 24 : Linear Matrix Inequalities in Control
Chapter 25 : Optimal Control
Chapter 26 : Decentralized Control
Chapter 27 : Decoupling
Chapter 28 : Linear Model Predictive Control in the Process Industries

Section IV : Analysis and Design of Hybrid Systems
Chapter 29 : Computation of Reach Sets for Dynamical Systems
Chapter 30 : Hybrid Dynamical Systems: Stability and Stabilization
Chapter 31 : Optimal Control of Switching Systems via Embedding into Continuous Optimal Control Problem

Section V : Adaptive Control
Chapter 32 : Automatic Tuning of PID Controllers
Chapter 33 : Self-Tuning Control
Chapter 34 : Model Reference Adaptive Control
Chapter 35 : Robust Adaptive Control
Chapter 36 : Iterative Learning Control

Section VI : Analysis and Design of Nonlinear Systems
Chapter 37 : Nonlinear Zero Dynamics
Chapter 38 : The Lie Bracket and Control
Chapter 39 : Two Timescale and Averaging Methods
Chapter 40 : Volterra and Fliess Series Expansions for Nonlinear Systems
Chapter 41 : Integral Quadratic Constraints
Chapter 42 : Control of Nonholonomic and Underactuated Systems

Section VII : Stability
Chapter 43 : Lyapunov Stability
Chapter 44 : Input-Output Stability
Chapter 45 : Input-to-State Stability

Section VIII : Design
Chapter 46 : Feedback Linearization of Nonlinear Systems
Chapter 47 : The Steady-State Behavior of a Nonlinear System
Chapter 48 : Nonlinear Output Regulation
Chapter 49 : Lyapunov Design
Chapter 50 : Variable Structure, Sliding-Mode Controller Design
Chapter 51 : Control of Bifurcations and Chaos
Chapter 52 : Open-Loop Control Using Oscillatory Inputs
Chapter 53 : Adaptive Nonlinear Control
Chapter 54 : Intelligent Control
Chapter 55 : Fuzzy Control
Chapter 56 : Neural Control

Section IX : System Identification
Chapter 57 : System Identification

Section X : Stochastic Control
Chapter 58 : Discrete Time Markov Processes
Chapter 59 : Stochastic Differential Equations
Chapter 60 : Linear Stochastic Input–Output Models
Chapter 61 : Dynamic Programming
Chapter 62 : Approximate Dynamic Programming
Chapter 63 : Stability of Stochastic Systems
Chapter 64 : Continuous-Time Linear Systems
Chapter 65 : Probabilistic and Randomized Tools for Control Design
Chapter 66 : Stabilization of Stochastic Nonlinear Continuous-Time Systems

Section XI : Control of Distributed Parameter Systems
Chapter 67 : Control of Systems Governed by Partial Differential Equations
Chapter 68 : Controllability of Thin Elastic Beams and Plates
Chapter 69 : Control of the Heat Equation
Chapter 70 : Observability of Linear Distributed-Parameter Systems
Chapter 71 : Boundary Control of PDE’s: The Backstepping Approach
Chapter 72 : Stabilization of Fluid Flows

Section XII : Networks and Networked Controls
Chapter 73 : Control Over Digital Networks
Chapter 74 : Decentralized Control and Algebraic Approaches
Chapter 75 : Estimation and Control across Analog Erasure Channels
Chapter 76 : Passivity Approach to Network Stability Analysis and Distributed Control Synthesis

Index