Practical Control Engineering : Guide for Engineers, Managers, and Practitioners

Understand the day-to-day procedures of today's control engineer with the pragmatic insights and techniques contained in this unique resource. Written in clear, concise language, Practical Control Engineering shows, step-by-step, how engineers simulate real-world phenomena using dynamic models and algorithms. Learn how to handle single and multiple-staged systems, implement error-free feedback control, eliminate anomalies, and work in the frequency and discrete-time domains. Extensive appendices cover basic calculus, differential equations, vector math, Laplace and Z-transforms, and Matlab basics. Practical Control Engineering explains how to:

• Gain insight into control engineering and process analysis
• Write and debug algorithms that simulate physical processes
• Understand feedback, feedforward, open loops, and cascade controls
• Build behavioral models using basic applied mathematics
• Analyze lumped, underdamped, and distributed processes
• Comprehend matrix, vector, and state estimation concepts
• Convert from continuous to discrete-time and frequency domains
• Filter out white noise, colored noise, and stochaic disturbances

Preface

Chapter 1 : Qualitative Concepts in Control Engineering and Process Analysis
Chapter 2 : Introduction to Developing Control Algorithms
Chapter 3 : Basic Concepts in Process Analysis
Chapter 4 : A New Domain and More Process Models
Chapter 5 : Matrices and Higher Order Process Models
Chapter 6 : An Underdamped Process
Chapter 7 : Distributed Processes
Chapter 8 : Stochastic Process Disturbances and the Discrete Time Domain
Chapter 9 : The Discrete Time Domain and the Z-Transform
Chapter 10 : Estimating the State and Using It for Control
Chapter 11 : A Review of Control Algorithms

Appendix
Index