portada Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach (en Inglés)

Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach (en Inglés)

Formato

Libro Físico

Autor

Michael J. Grimble

Pawel Majecki

Editorial

Springer

Idioma

Inglés

N° páginas

764

Encuadernación

Tapa Dura

Dimensiones

23.4x15.6x4.3 cm

Peso

1.28 kg.

ISBN13

9781447174554

N° edición

Categorías

Producción e ingeniería industrial
Ingeniería de control automático
Tecnología y actividades del automóvil

Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach (en Inglés)

Michael J. Grimble (Autor) · Pawel Majecki (Autor) · Springer · Tapa Dura

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Reseña del libro "Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach (en Inglés)"

Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB(R) toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid;design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods;design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing;steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; andbaseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.