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Nonlinear H2/H8 Constrained Feedback Control : a Practical Design Approach Using Neural Networks by Murad Abu-Khalaf, Jie Huang, Frank L. Lewis is a nonfiction available to read on EtoBox.

What is Nonlinear H2/H8 Constrained Feedback Control : a Practical Design Approach Using Neural Networks about?

Modern aerospace, automotive, nautical, industrial, microsystem-assembly and robotic systems are becoming more and more complex. High-performance vehicles no longer have built-in error safety margins, but are inherently unstable by design to allow for more flexible maneuvering options. With the push towards better performance in terms of greater accuracy and faster speed of response, control demands are increasing. The combination of highly nonlinear dynamics, relaxed static stability, and tight performance specifications places increasing demands on the design of feedback systems for control. Current control system design techniques have difficulty in meeting these demands. In this book the authors present algorithms for __H__~2~ and __H__-infinity design for nonlinear systems which, unlike earlier theories, provide solution techniques for the core Hamilton–Jacobi equations that yield control systems which can be implemented in real systems; neural networks are used to solve the nonlinear control design equations. Industrial and aerospace systems usually have constraints on the amplitudes of the control actuator inputs so techniques are set out for dealing with these. All results

Who reads Nonlinear H2/H8 Constrained Feedback Control : a Practical Design Approach Using Neural Networks?

Author

Murad Abu-Khalaf, Jie Huang, Frank L. Lewis

Publisher

Springer-Verlag London Limited

Published

2006

Language

EN

ISBN

9781280611926

Category

nonfiction

Subjects

Computer Science, Engineering, Mathematics