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Modern Control: State-Space Analysis and Design Methods by Arie Nakhmani (2020, Hardcover)

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About this product

Product Identifiers

PublisherMcgraw-Hill Education

ISBN-101260459241

ISBN-139781260459241

eBay Product ID (ePID)8038803966

Product Key Features

Book TitleModern Control: State-Space Analysis and Design Methods

Number of Pages192 Pages

LanguageEnglish

TopicElectrical

Publication Year2020

IllustratorYes

GenreTechnology & Engineering

AuthorArie Nakhmani

FormatHardcover

Dimensions

Item Height1 in

Item Weight17 Oz

Item Length9.2 in

Item Width6.7 in

Additional Product Features

Intended AudienceTrade

LCCN2020-934135

SynopsisPublisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Apply a state-space approach to modern control system analysis and design Written by an expert in the field, this concise textbook offers hands-on coverage of modern control system engineering. Modern Control: State-Space Analysis and Design Methods features start-to-finish design projects as well as online snippets of MATLAB code with simulations. The essential mathematics are presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive "just-in-time" math background from a comprehensive appendix and get step-by-step descriptions of the latest analysis and design techniques. Coverage includes: - An introduction to control systems - State-space representations - Pole placement via state feedback - State estimators (observers) - Non-minimal canonical forms - Linearization - Lyapunov stability - Linear quadratic regulators (LQR) - Symmetric root locus (SRL) - Kalman filter - Linear quadratic gaussian control (LQG), Master the principles and practices of modern control systems using a state-space approach Ideal for advanced undergraduate and graduate courses, this electrical engineering textbook offers comprehensive coverage of control systems and their design. Written by a recognized expert in the field, the book uses a state-space approach to examine topics of pole placement and observer design, Lyapunov stability, optimal control, Kalman filter, and linear quadratic Gaussian control (LQG). Modern Control Systems: State Space Approach features detailed, hands-on design projects as well as snippets of MATLAB code with simulations. The essential mathematics are presented along with fully worked-out examples in gradually increasing degrees of difficulty. You will receive "just-in-time" math background from a comprehensive appendix, as well as algorithmic step-by-step descriptions of analysis and design procedures. - Cuts down on the theory behind control systems and focuses on practice - Includes a set of videos demonstrating the solutions for the more challenging questions - Written by an electrical engineering scholar and experienced author, Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Apply a state-space approach to modern control system analysis and design Written by an expert in the field, this concise textbook offers hands-on coverage of modern control system engineering. Modern Control: State-Space Analysis and Design Methods features start-to-finish design projects as well as online snippets of MATLAB code with simulations. The essential mathematics are presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive "just-in-time" math background from a comprehensive appendix and get step-by-step descriptions of the latest analysis and design techniques. Coverage includes: * An introduction to control systems * State-space representations * Pole placement via state feedback * State estimators (observers) * Non-minimal canonical forms * Linearization * Lyapunov stability * Linear quadratic regulators (LQR) * Symmetric root locus (SRL) * Kalman filter * Linear quadratic gaussian control (LQG)

LC Classification NumberTJ213.N2675 2020