Using a "how to do it" approach with a strong emphasis on real-world design, this book provides comprehensive, single-source coverage of the full spectrum of control system design. Each of the book's 8 parts covers a specific area of control--ranging from signals and systems (Bode Diagrams, Root Locus, etc.), to SISO control (including PID and Fundamental Design Trade-offs) and MIMO systems (including Constraints, MPC, Decoupling, etc.). Features an abundance of real-world design examples drawn from the authors' direct experience, and many real-world case studies divided into Industrial case studies and Laboratory systems (several of which are supported by a virtual laboratory using Java Applets on the book's web page). All examples are supported by Matlab®. The Excitement of Control Engineering. Introduction to the Principles of Feedback. Modeling. Continuous Time Signals and Systems. Analysis of SISO Control Loops. Classical PID Control. Synthesis of SISO Controllers. Fundamental Limitations in SISO Control. Frequency Domain Design Limitations. Architectural Issues in SISO Control. Dealing with Constraints. Models for Sampled Data Systems. Digital Control. Hybrid Control. SISO Controller Parameterizations. Control Design Based on Optimization. Linear State Space Models. Synthesis via State Space Methods. Introduction to Nonlinear Control. Analysis of MIMO Control Loops. Exploiting SISO Techniques in MIMO Control. Design via Optimal Control Techniques. Model Predictive Control. Fundamental Limitations in MIMO Control. MIMO Controller Parameterizations. Decoupling. For anyone interested in Control System Design.
GRAHAM GOODWIN has over 30 years of experience in the area of control engineering covering research, education and industry. He is the author of seven books, 500 papers and holds four patents. He was the foundation Chairman of a spin-off company and is currently Directory of a special research center dedicated to systems and control research.
STEFAN GRAEBE's career spans both academic and industrial positions. He was previously research coordinator in the Centre for Industrial Control Science at the University of Newcastle. He is currently head of the Department of Optimization and Automation for the Schwechat refinery of OMV—Austria.
MARIO SALGADO received a Maters degree in Control from Imperial College and a Ph.D. from the University of Newcastle. He is currently an academic in the Department of Electronics at the Universidad Tecnica Frederico Santa Maria, Valparaíso—Chile. His interests include signal processing and control systems design.
