Robust Autonomous Guidance

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This book wil sell because it contains up-to-date information on nonlinear control - a subject which control engineers are all to willing to find out about from someone else rather than doing it themselves because the uncertainties involved make it very difficult and time consuming. It is also written by (one of) the best known researchers in the area.

Shows the reader how to apply nonlinear design techniques to three important and widely used case studies Demonstrates how nonlinear control can be adapted to take account of the severe uncertainties and complex nonlinear dynamics typical of applications in the real world Nonlinear control is notoriously awkward - the material in this book will mean a considerable saving in time and effort for the industrial reader in implementing robust nonlinear control systems Includes supplementary material: sn.pub/extras

Klappentext

A typical plant control system will be subject to the undesirable influence of exogenous commands and disturbances. In order to track and reject these Professor Isidori and his co-authors have designed a feedback control system based on embedding a model of these disturbances within the controller itself - the so-called "internal model".

Beginning with a review of the fundamental principles of internal-model-based feedback control design, Robust Autonomous Guidance moves on to expound recent enhancements to such designs and then to their implementation in systems operating under conditions of great uncertainty.

The three case studies presented: attitude control of a low-Earth-orbit satellite and the landing of fixed- and rotary-winged aircraft on a ship involve control systems coping with a high degree of nonlinear behaviour. The key issues addressed in each case study are the design of an adaptive internal model for the specific tracking task and of stabilizing control capable of steering the tracking error to zero while keeping all internal states bounded for any arbitrarily large but bounded envelope of initial data and uncertain parameters. Nested saturated controls form the basis of novel tools for asymptotic analysis and design.

Robust Autonomous Guidance will be of great interest to academic and industrial researchers working with nonlinear control systems and to engineers involved in the design of aerospatial guidance systems. It will also be a useful reference for graduate students working with non-linear systems.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.


Inhalt

  1. Fundamentals of Internal-model-based Control Theory.- 2. Attitude Regulation of a LEO Rigid Satellite.- 3. VTOL Landing: Design of the Internal Model.- 4. VTOL Landing: Design of the Stabilizer.- 5. Robust Nonlinear Motion Control of a Helicopter.- A. Attitude Parameterization.- A.1 Rotation Matrices.- A.2 Quaternions.- B. Input-to-state Stability and Small Gain Theorems.- B.1 Comparison Functions.- B.2 Input-to-state Stability: Definitions and Criteria.- B.3 The Small Gain Theorem.- C. Stabilization of an Uncertain Chain of Integrators by Satu rated Feedback.- C.1 Saturation Functions.- C.2 Robust Stabilization of a Chain of Integrators by Saturated Feedback.- References.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781447111245
    • Genre Elektrotechnik
    • Auflage Softcover reprint of the original 1st edition 2003
    • Sprache Englisch
    • Lesemotiv Verstehen
    • Anzahl Seiten 248
    • Größe H235mm x B155mm x T14mm
    • Jahr 2012
    • EAN 9781447111245
    • Format Kartonierter Einband
    • ISBN 1447111249
    • Veröffentlichung 14.09.2012
    • Titel Robust Autonomous Guidance
    • Autor Alberto Isidori , Andrea Serrani , Lorenzo Marconi
    • Untertitel An Internal Model Approach
    • Gewicht 382g
    • Herausgeber Springer London

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