Basic concepts of linear system control

Abdelhamid Djari

ISBN 10: 6208419964 / ISBN 13: 9786208419967

Published by LAP LAMBERT Academic Publishing Mai 2025, 2025

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive guide to control systems, emphasizing both frequency-domain and state-space methods for analysis and design. Key topics include frequency-domain controller design, where techniques such as Bode plots, Nyquist plots, and root locus are used to assess system stability and optimize performance. It also covers state-space representation, offering a unified framework for analyzing dynamic systems, especially for multiple-input multiple-output (MIMO) systems. The course delves into state-space analysis, focusing on aspects like controllability, observability, stability, and system response. Furthermore, state feedback control is explored as a means to enhance system dynamics through pole placement. The course concludes with the design of state observers, such as Luenberger observers and Kalman filters, to estimate internal states for effective control. These topics together lay the foundation for analyzing and optimizing dynamic systems in fields like control, automation, and robotics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.

Seller Inventory # 9786208419967

Bibliographic Details

• Title: Basic concepts of linear system control
• Publisher: LAP LAMBERT Academic Publishing Mai 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 6208419964
• ISBN 13: 9786208419967
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 221 grams

About this title

Synopsis

This book provides a comprehensive guide to control systems, emphasizing both frequency-domain and state-space methods for analysis and design. Key topics include frequency-domain controller design, where techniques such as Bode plots, Nyquist plots, and root locus are used to assess system stability and optimize performance. It also covers state-space representation, offering a unified framework for analyzing dynamic systems, especially for multiple-input multiple-output (MIMO) systems. The course delves into state-space analysis, focusing on aspects like controllability, observability, stability, and system response. Furthermore, state feedback control is explored as a means to enhance system dynamics through pole placement. The course concludes with the design of state observers, such as Luenberger observers and Kalman filters, to estimate internal states for effective control. These topics together lay the foundation for analyzing and optimizing dynamic systems in fields like control, automation, and robotics.