| 书目名称 | Nonlinear Industrial Control Systems | | 副标题 | Optimal Polynomial S | | 编辑 | Michael J. Grimble,Paweł Majecki | | 视频video | | | 概述 | Shows industrial engineers how to apply nonlinear control theory in real-world systems.Teaches students a comprehensive range of simple-to-apply techniques for nonlinear control.MATLAB toolbox with pl | | 图书封面 |  | | 描述 | .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 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 prob | | 出版日期 | Book 2020 | | 关键词 | Aerospace Engineering; Automotive Control; Control; Control Applications; Control Engineering; MATLAB®; Ma | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-7457-8 | | isbn_ebook | 978-1-4471-7457-8 | | copyright | Springer-Verlag London Ltd., part of Springer Nature 2020 |
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发表于 2025-3-21 16:59:39
