TY - BOOK ID - 37044007 TI - Analysis and Control of Nonlinear Process Systems AU - Hangos, Katalin M. AU - Bokor, József. AU - Szederkényi, Gábor. PY - 2004 SN - 1280189479 9786610189472 185233861X 1852336005 PB - London : Springer London : Imprint: Springer, DB - UniCat KW - Process control. KW - Nonlinear control theory. KW - Differentiable dynamical systems. KW - Computer engineering. KW - Chemical engineering. KW - Systems theory. KW - Industrial engineering. KW - Dynamical Systems and Ergodic Theory. KW - Electrical Engineering. KW - Control and Systems Theory. KW - Industrial Chemistry/Chemical Engineering. KW - Systems Theory, Control. KW - Industrial and Production Engineering. KW - Dynamics. KW - Ergodic theory. KW - Electrical engineering. KW - Control engineering. KW - System theory. KW - Production engineering. KW - Manufacturing engineering KW - Process engineering KW - Industrial engineering KW - Mechanical engineering KW - Management engineering KW - Simplification in industry KW - Engineering KW - Value analysis (Cost control) KW - Systems, Theory of KW - Systems science KW - Science KW - Chemistry, Industrial KW - Engineering, Chemical KW - Industrial chemistry KW - Chemistry, Technical KW - Metallurgy KW - Control engineering KW - Control equipment KW - Control theory KW - Engineering instruments KW - Automation KW - Programmable controllers KW - Electric engineering KW - Ergodic transformations KW - Continuous groups KW - Mathematical physics KW - Measure theory KW - Transformations (Mathematics) KW - Dynamical systems KW - Kinetics KW - Mathematics KW - Mechanics, Analytic KW - Force and energy KW - Mechanics KW - Physics KW - Statics KW - Philosophy UR - https://www.unicat.be/uniCat?func=search&query=sysid:37044007 AB - Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such methods or because of their computational difficulty and small-scale applicability in the general case. Analysis and Control of Nonlinear Process Systems overcomes these barriers. Features: • 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 solutions in particular circumstances from general cases. • Illustration of applications 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. ER -