1.

Record Nr.

UNIORUON00050790

Autore

Germani, Gino

Titolo

Autoritarismo, fascismo e classi sociali / Gino Germani

Pubbl/distr/stampa

Bologna, : Il Mulino, 1975

Descrizione fisica

306 p. ; 21 cm

Classificazione

IG V

Soggetti

FASCISMO - Italia

FASCISMO - Spagna

FASCISMO - Sudamerica

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910484729603321

Autore

Roy Spandan

Titolo

Adaptive-Robust Control with Limited Knowledge on Systems Dynamics : An Artificial Input Delay Approach and Beyond / / by Spandan Roy, Indra Narayan Kar

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020

ISBN

981-15-0640-X

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XX, 144 pages 33 illustrations, 29 illustrations in color.)

Collana

Studies in Systems, Decision and Control, , 2198-4190 ; ; 257

Disciplina

629.83

Soggetti

Control engineering

Engineering design

Acoustical engineering

Fluid mechanics

Control and Systems Theory

Engineering Design

Engineering Acoustics

Engineering Fluid Dynamics

Lingua di pubblicazione

Inglese



Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Time-Delayed Control of a Class of EL System: Design Issues and Solutions -- Adaptive Robust Time-Delayed Control for a Class of Uncertain EL Systems -- Time-Delayed Control of a Class of EL Systems with only Position Feedback -- Adaptive-Robust Control of a Class of EL Systems with Unknown System Dynamics -- Conclusion.

Sommario/riassunto

The book investigates the role of artificial input delay in approximating unknown system dynamics, referred to as time-delayed control (TDC), and provides novel solutions to current design issues in TDC. Its central focus is on designing adaptive-switching gain-based robust control (ARC) for a class of Euler–Lagrange (EL) systems with minimal or no knowledge of the system dynamics parameters. The newly proposed TDC-based ARC tackles the commonly observed over- and under-estimation issues in switching gain. The consideration of EL systems lends a practical perspective on the proposed methods, and each chapter is supplemented by relevant experimental data. The book offers a unique resource for researchers in the areas of ARC and TDC alike, and covers the state of the art, new algorithms, and future directions.