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基本説明
Provides the process control student with the necessary mathematical basics to tackle nonlinear control while also tackling advanced subjects such as feedback linearisation.
Full Description
Although nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance, 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. This textbook overcomes these barriers.
Features:
• Mathematical preliminaries for readers from a process engineering background.
• Constant reference to the finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation.
• Theories and analytical methods laid out clearly and straightforwardly with exercises to reaffirm the techniques as they are taught.
• Emphasis on process knowledge and first-principles-based models in obtaining feasible and effective solutions in particular circumstances from general cases.
• Simple examples and case studies.
Contents
Basic Notions of Systems and Signals.- State-space Models.- Dynamic Process Models.- Input-output Models and Realization Theory.- Controllability and Observability.- Stability and The Lyapunov Method.- Passivity and the Hamiltonian View.- State Feedback Controllers.- Feedback and Input-output Linearization of Nonlinear Systems.- Passivation by Feedback.- Stabilization and Loop-shaping.
