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Adaptive-Robust Control with Limited Knowledge on Systems Dynamics

An Artificial Input Delay Approach and Beyond

By: Spandan Roy,Indra Narayan Kar

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Adaptive-Robust Control with Limited Knowledge on Systems Dynamics

An Artificial Input Delay Approach and Beyond

By: Spandan Roy,Indra Narayan Kar

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.

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Page Count

157

Publisher

Springer Nature

Published Date

ISBN 10

981150640X

ISBN 13

9789811506406

Adaptive-Robust Control with Limited Knowledge on Systems Dynamics

An Artificial Input Delay Approach and Beyond

By: Spandan Roy,Indra Narayan Kar

Write a review Read reviews Take a Quiz Solve Book Puzzle

Adaptive-Robust Control with Limited Knowledge on Systems Dynamics

An Artificial Input Delay Approach and Beyond

By: Spandan Roy,Indra Narayan Kar

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

157

Publisher

Springer Nature

Published Date

ISBN 10

981150640X

ISBN 13

9789811506406