Fully Tuned Radial Basis Function Neural Networks for Flight Control
Title | Fully Tuned Radial Basis Function Neural Networks for Flight Control PDF eBook |
Author | N. Sundararajan |
Publisher | Springer Science & Business Media |
Pages | 167 |
Release | 2013-03-09 |
Genre | Science |
ISBN | 1475752865 |
Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, this book presents the derivation of the tuning law for tuning the centers, widths, and weights of the RBF network, and compares the results with existing algorithms. It also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Fully Tuned Radial Basis Function Neural Networks for Flight Control is an excellent resource for professionals using neural adaptive controllers for flight control applications.
Adaptive Control of Nonlinear Dynamic System Using Fully Tuned Radial Basis Function Neural Networks
Title | Adaptive Control of Nonlinear Dynamic System Using Fully Tuned Radial Basis Function Neural Networks PDF eBook |
Author | Yan Li |
Publisher | |
Pages | 196 |
Release | 2001 |
Genre | |
ISBN |
Stable Adaptive Control of Unknown Nonlinear Dynamic Systems Using Neural Networks
Title | Stable Adaptive Control of Unknown Nonlinear Dynamic Systems Using Neural Networks PDF eBook |
Author | Olawale Adetona |
Publisher | |
Pages | 218 |
Release | 1998 |
Genre | Adaptive control systems |
ISBN |
Applications of Neural Adaptive Control Technology
Title | Applications of Neural Adaptive Control Technology PDF eBook |
Author | Jens Kalkkuhl |
Publisher | World Scientific |
Pages | 328 |
Release | 1997 |
Genre | Technology & Engineering |
ISBN | 9789810231514 |
This book presents the results of the second workshop on Neural Adaptive Control Technology, NACT II, held on September 9-10, 1996, in Berlin. The workshop was organised in connection with a three-year European-Union-funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland).The NACT project, which began on 1 April 1994, is a study of the fundamental properties of neural-network-based adaptive control systems. Where possible, links with traditional adaptive control systems are exploited. A major aim is to develop a systematic engineering procedure for designing neural controllers for nonlinear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from within the Daimler-Benz group of companies.The aim of the workshop was to bring together selected invited specialists in the fields of adaptive control, nonlinear systems and neural networks. The first workshop (NACT I) took place in Glasgow in May 1995 and was mainly devoted to theoretical issues of neural adaptive control. Besides monitoring further development of theory, the NACT II workshop was focused on industrial applications and software tools. This context dictated the focus of the book and guided the editors in the choice of the papers and their subsequent reshaping into substantive book chapters. Thus, with the project having progressed into its applications stage, emphasis is put on the transfer of theory of neural adaptive engineering into industrial practice. The contributors are therefore both renowned academics and practitioners from major industrial users of neurocontrol.
Adaptive Control of Nonsmooth Dynamic Systems
Title | Adaptive Control of Nonsmooth Dynamic Systems PDF eBook |
Author | Gang Tao |
Publisher | Springer Science & Business Media |
Pages | 425 |
Release | 2013-04-17 |
Genre | Technology & Engineering |
ISBN | 144713687X |
Many of the non-smooth, non-linear phenomena covered in this well-balanced book are of vital importance in almost any field of engineering. Contributors from all over the world ensure that no one area’s slant on the subjects predominates.
Neural Adaptive Control Technology
Title | Neural Adaptive Control Technology PDF eBook |
Author | Rafal Zbikowski |
Publisher | World Scientific |
Pages | 357 |
Release | 1996-04-13 |
Genre | Computers |
ISBN | 9814499366 |
This book is an outgrowth of the workshop on Neural Adaptive Control Technology, NACT I, held in 1995 in Glasgow. Selected workshop participants were asked to substantially expand and revise their contributions to make them into full papers.The workshop was organised in connection with a three-year European Union funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland). A major aim of the NACT project is to develop a systematic engineering procedure for designing neural controllers for nonlinear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from Daimler-Benz.In the book emphasis is put on development of sound theory of neural adaptive control for nonlinear control systems, but firmly anchored in the engineering context of industrial practice. Therefore the contributors are both renowned academics and practitioners from major industrial users of neurocontrol.
Stable Adaptive Control and Estimation for Nonlinear Systems
Title | Stable Adaptive Control and Estimation for Nonlinear Systems PDF eBook |
Author | Jeffrey T. Spooner |
Publisher | John Wiley & Sons |
Pages | 564 |
Release | 2004-04-07 |
Genre | Science |
ISBN | 0471460974 |
Thema dieses Buches ist die Anwendung neuronaler Netze und Fuzzy-Logic-Methoden zur Identifikation und Steuerung nichtlinear-dynamischer Systeme. Dabei werden fortgeschrittene Konzepte der herkömmlichen Steuerungstheorie mit den intuitiven Eigenschaften intelligenter Systeme kombiniert, um praxisrelevante Steuerungsaufgaben zu lösen. Die Autoren bieten viel Hintergrundmaterial; ausgearbeitete Beispiele und Übungsaufgaben helfen Studenten und Praktikern beim Vertiefen des Stoffes. Lösungen zu den Aufgaben sowie MATLAB-Codebeispiele sind ebenfalls enthalten.