Analysis and Control of Nonlinear Process Systems – K.M. Hangos, J. Bokor, G. Szederkényi – 1st Edition


Almost all are nonlinear in nature. Nonlinear control is traditionally an area of interest in process which is of great practical importance.

These facts notwithstanding; many process have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such or because of their computational difficulty and small-scale applicability in the general case. and Control of Nonlinear Process Systems overcomes these barriers.

• The necessary mathematical preliminaries for readers from a process engineering background.

• Constant reference to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation.

• The most promising theories and analytical methods for nonlinear process control laid out clearly and straightforwardly with exercises to reaffirm the techniques as they are taught.

• Emphasis on the importance of process knowledge and first-principles-based models in obtaining feasible and effective in particular circumstances from general cases.

• Illustration of with simple examples and case studies.

Analysis and Control of Nonlinear Process Systems will interest graduate process engineers wishing to study advanced control methods either with a view to further research or application in industry as well as to academics seeking to move process control courses into more complicated but up-to-date territory.

It will also be a great assistance to those in their senior undergraduate years who will form the next generation of industrial process engineers and need unfussy access to the most modern nonlinear control ideas.

Table of Contents

1. Introduction
2. Basic Notions of Systems and Signals
3. State-space Models
4. Dynamic Process Models
5. Input-output Models and Realization Theory
6. Controllability and Observability
7. Stability and The Lyapunov Method
8. Passivity and the Hamiltonian View
9. State Feedback Controllers
10. Feedback and Input-output Linearization of Nonlinear Systems
11. Passivation by Feedback
12. Stabilization and Loop-shaping

A. Mathematical preliminaries.
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