Michael J. Grimble, Pawel Majecki Nonlinear Industrial Control Systems

Annotation

Nonlinear Industrial Control presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control design. The design methods, supported by a MATLAB(R) toolbox (downloadable from www.springer.com/ISBN) enable both academic and industrial studies to be repeated and evaluated, taking into account practical constraints and implementation problems.Designed to use nonlinear control theory accessible to readers having only a background in linear systems, and to concentrate on real applications of nonlinear control, this book: covers different ways of modelling nonlinear systems - state space, polynomial-operator-based solutions and state-dependent algorithms; explains many design techniques for nonlinear control - generalised-minimum-variance-, quadratic-Gaussian, factorised-L2, H-infinty - and predictive control; demonstrates how its design philosophies are suitable for aerospace, automotive, marine, process-control and manufacturing applications; illustrates steps in design procedure for coping with problems such as integral wind-up protection and robust control design with numerous design studies; considers non-optimal nonlinear control techniques such as Smith predictors and feedback linearization.Nonlinear Industrial Control should be read by engineers in industry dealing with actual nonlinear systems. It will provide students with a comprehensive range of techniques for solving real nonlinear control design problems.