£130.99

Springer Design of Linear Multivariable Feedback Control Systems

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Description

This technical book by Springer provides a deep dive into the design of linear multivariable feedback control systems. It focuses on a specialized subset of stabilizing controllers for both analog and digital linear time-invariant systems. The text is designed for those needing to ensure stable system errors and stable controller outputs when dealing with persistent deterministic reference inputs and disturbance inputs. By utilizing the Wiener-Hopf methodology, the book demonstrates how to obtain an optimal controller that minimizes a quadratic performance measure. This approach is applied to completely general states, making it a valuable resource for understanding complex control theory. Whether you are working with trackable reference inputs or rejectable disturbance inputs, this text offers a mathematical framework using transforms and spectral factorization to achieve high-level system stability and performance optimization.

Key Features

Covers both analog and digital linear time-invariant multivariable feedback control systems for versatile application.

Provides a derivation of stabilizing controllers that ensure stable system errors and stable controller outputs.

Utilizes the Wiener-Hopf methodology to identify the optimal controller for minimizing quadratic performance measures.

Addresses persistent deterministic reference inputs that are trackable for precise system control.

Includes methods for handling persistent deterministic disturbance inputs that are rejectable in control environments.

Employs transforms and spectral factorization techniques to solve complex multivariable control problems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
10 July 2021
Listed Since
13 June 2021

Barcode

No barcode data available

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