Can I read Fuzzy System Identification and Adaptive Control on EtoBox?

Fuzzy System Identification and Adaptive Control by Ruiyun Qi; Gang Tao; Bin Jiang; SpringerLink (Online service) is a nonfiction available to read on EtoBox.

What is Fuzzy System Identification and Adaptive Control about?

This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T–S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also: introduces basic concepts of fuzzy sets, logic and inference system; discusses important properties of T–S fuzzy systems; develops offline and online identification algorithms for T–S fuzzy systems; investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T–S fuzzy systems; develops adaptive control algorithms for discrete-time input–output form T–S fuzzy systems with much relaxed design conditions, and discrete-time state-space T–S fuzzy systems; and designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T–S fuzzy systems. The authors address adaptive fault compensation proble

Who reads Fuzzy System Identification and Adaptive Control?

Author

Ruiyun Qi; Gang Tao; Bin Jiang; SpringerLink (Online service)

Publisher

Springer International Publishing : Imprint : Springer

Published

2019

Language

EN

ISBN

9783030198831

Category

nonfiction

Subjects

Science, Engineering, Mathematics