Bridging the gap between research and industry, this volume systematically and comprehensively presents the latest advances in control and estimation. With emphasis on applications, industrial problems illustrate the use of transfer function and state space methods for modelling and design. Combining theroy with practice, Industrial Control Systems Design will appeal to practising engineers and academic researchers in control engineering. This unique reference: spans fundamental state space and polynomial systems theory and introduces quantitative feedback theory. Includes design case studies with illustrative problem descriptions and analysis from the steel, marine, process control, aerospace and power generation sectors. Focuses on the challenges in predictive optimal control, now an indispensable method in advanced control applications. Provides an introduction to safety-critical control systems design and combined fault monitoring and control techniques. Discusses the design of LQG and H-controllers with several degrees of freedom, including feedback, tracking and feedforward functions.