In Process Control, a wide range of identification and control methods applicable to processes are accompanied by typical comparable examples, encouraging you to make comparisons.

The initial classical approach to continuous control by transfer functions will be of enormous benefit, whether you are a student beginning in control or an engineer in industry who, up until now, has only had a superficial or empirical contact with control. The more advanced material on discrete control and state-space control, as well as nonlinear control and observers, requires minimal previous knowledge, allowing you to make better use of techniques with proven performance.

a [ Introduces concepts of progressively increasing difficulty, smoothing the path to learning the more advanced theories and control methods.

a [ For each topic, the theories, techniques and algorithms are presented in detail, with numberous references.

a [ The comparative consideration of different approaches to similar problems deepens your understanding.

a [ Examples that you can reproduce to master the different techniques.

Broad coverage creates an important synthesis of the spectrum of control theory and its process-industry-related applications. Different levels of reading are possible, opening this powerful source of information to engineers, academics, researchers and students alike.

This text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students. A background in calculus and linear algebra are the only mathematical requirements. The abundance of advanced methods and practical applications will be attractive to scientists and researchers working in different branches of engineering. The reader is progressively introduced to general numerical methods and optimization algorithms in each chapter. Examples accompany the various methods and guide the students to a better understanding of the applications. The user is often provided with the opportunity to verify their results with complex programming code. Each chapter ends with graduated exercises which furnish the student with new cases to study as well as ideas for exam/homework problems for the instructor. A set of programs made in Matlab (TM) is available on the author's personal website and presents both numerical and optimization methods.