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® 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. | Nonlinear Industrial Control Systems by Michael J. Grimble, Hardcover | Indigo Chapters