| 書目名稱 | Nonlinear Identification and Control | | 副標(biāo)題 | A Neural Network App | | 編輯 | G. P. Liu | | 視頻video | http://file.papertrans.cn/668/667529/667529.mp4 | | 叢書名稱 | Advances in Industrial Control | | 圖書封面 |  | | 描述 | The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control 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 otTers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The time for nonlinear control to enter routine application seems to be approaching. Nonlinear control has had a long gestation period but much ofthe past has been concerned with methods that involve formal nonlinear functional model representations. It seems more likely that the breakthough will come through the use of other more flexible and amenable nonlinear system modelling tools. This Advances in Industrial Control monograph by Guoping Liu gives an excellent introduction to the type of new nonlinear system modelli | | 出版日期 | Book 2001 | | 關(guān)鍵詞 | Adaptive control; Control; Control Engineering; Identification; Modelling; Neural Networks; Nonlinear cont | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-0345-5 | | isbn_softcover | 978-1-4471-1076-7 | | isbn_ebook | 978-1-4471-0345-5Series ISSN 1430-9491 Series E-ISSN 2193-1577 | | issn_series | 1430-9491 | | copyright | Springer-Verlag London 2001 |
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