Buch, Englisch, 204 Seiten, Format (B × H): 162 mm x 245 mm, Gewicht: 1100 g
A Practical Design Approach Using Neural Networks
Buch, Englisch, 204 Seiten, Format (B × H): 162 mm x 245 mm, Gewicht: 1100 g
Reihe: Advances in Industrial Control
ISBN: 978-1-84628-349-9
Verlag: Springer
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 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. Almost all physical systems are nonlinear and the success of linear control techniques depends on the extent of the nonlinear system behaviour and the careful attention given to switching linear controllers through the range of nonlinear system operations. In many industrial and process-control applications, good engineering practice, linear control systems and classical PID control can give satisfactory performance because the process nonlinearity is mild and the control system performance specification is not particularly demanding; however, there are other industrial system applications where the requirement for high-performance control can only be achieved if nonlinear control design techniques are used. Thus, in some industrial and technological domains there is a strong justification for more applications of nonlinear methods. One prevailing difficulty with nonlinear control methods is that they are not so easily understood nor are they easy to reduce to formulaic algorithms for routine application.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie Luftfahrtindustrie
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
Weitere Infos & Material
Preliminaries and Introduction.- Policy Iterations and Nonlinear H 2 Constrained State Feedback Control.- Nearly H 2 Optimal Neural Network Control for Constrained-Input Systems.- Policy Iterations and Nonlinear H ? Constrained State Feedback Control.- Nearly H ? Optimal Neural Network Control for Constrained-Input Systems.- Taylor Series Approach to Solving HJI Equation.- An Algorithm to Solve Discrete HJI Equations Arising from Discrete Nonlinear H ? Control Problems.- H ? Static Output Feedback.