| 书目名称 | Strategies for Feedback Linearisation | | 副标题 | A Dynamic Neural Net | | 编辑 | Freddy Garces,Victor M. Becerra,Kevin Warwick | | 视频video | | | 概述 | COMPLEX NONLINEAR SYSTEMS ARE WIDESPREAD - THE READER WILL BE ABLE TO TREAT THEM AS SIMPLER LINEAR SYSTEMS..THESE ARE EASIER AND LESS EXPENSIVE TO DEAL WITH..THE READER WILL BE MADE AWARE OF THE MOST | | 丛书名称 | Advances in Industrial Control | | 图书封面 |  | | 描述 | The series Advances in Industrial Control aims to report and encourage of control technology transfer in control engineering. The rapid development technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Nonlinear control methods continue to exert a continuing fascination for current researchers in control systems techniques. Many industrial systems are nonlinear as was so ably demonstrated in the recent Advances in Industrial Control monograph on hydraulic servo-systems by M. Jelali and A. Kroll. However, the need to use a nonlinear control technique depends on the severity of the nonlinearity and the performance specification of the application. In some cases it is imperative that a nonlinear technique be used. The type | | 出版日期 | Book 2003 | | 关键词 | Extension; control; control theory; feedback; feedback control; identification; linearisation; mimo system; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-0065-2 | | isbn_softcover | 978-1-4471-1095-8 | | isbn_ebook | 978-1-4471-0065-2Series ISSN 1430-9491 Series E-ISSN 2193-1577 | | issn_series | 1430-9491 | | copyright | Springer-Verlag London 2003 |
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发表于 2025-3-21 19:54:59
