| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910484729603321 |
|
|
Autore |
Roy Spandan |
|
|
Titolo |
Adaptive-robust control with limited knowledge on systems dynamics : an artificial input delay approach and beyond / / Spandan Roy, Indra Narayan Kar |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st edition 2020.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XX, 144 pages 33 illustrations, 29 illustrations in color.) |
|
|
|
|
|
|
|
|
Collana |
|
Studies in Systems, Decision and Control, , 2198-4182 ; ; 257 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Automatic control |
Engineering design |
Acoustical engineering |
Fluid mechanics |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
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. |
|
|
|
|
|
|
|
| |