Pawe¿ Majecki / Michael J. Grimble
Nonlinear Industrial Control Systems
- Springer London
- 2020
- Gebunden
- 796 Seiten
- ISBN 9781447174554
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® 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
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