Helicopters, aircraft and missiles are just some of the practical multivariable control systems to which eigenstructure assignment has been applied in recent years. Liu and Patton offer a uniquely integrated introduction to eigenstructure assignment theory and techniques for multi-input multi-output control system design. Features include: * Introduction to the Eigenstructure Assignment Toolbox for use with MATLAB (examples available via the Internet) providing engineers with a powerful set of tools for the design of multivariable systems * Broad coverage including the principle of eigenstructure assignment, basic, insensitive, robust and multiobjective eigenstructure assignment for multirate sampled-data systems, descriptor systems and fault detection systems * Description of the majority of known eigenstructure assignment methods for both state and output feedback control offering the reader a concise reference * Combination of time-domain and frequency-domain performance specifications for robust control design Postgraduates and researchers studying control engineering will appreciate the combination of mathematical theory and practical issues. Control engineers, particularly those working in the aerospace industry, will profit from the detailed application sections which relate eigenstructure assignment to real industrial problems.

This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem solving, with the use of sophisticated software and hardware in solving complex systems and process. In the era of digital technology, mathematics and statistics need to be highly relevant to be able to cater for the needs of IR4.0 such as big data analytics, simulation, autonomous system, and cloud computing. Motivated by this development, a total of 26 chapters are contributed by respectable experts for this book. The main scope of the book is to conduct a new system of modeling and simulations on solving differential equations, nonlinear equations, energy, epidemiology, and risk assessment. This book is of interest for postgraduate students, researchers as well as other scientists who are working in numerical modeling and simulations based on efficient mathematical and statistical techniques.