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Robot learning by visual observation

Author
  • Vakanski, Aleksandar
Additional Author(s)
  • Janabi-Sharifi, Farokh
Publisher
Hoboken, New Jersey: John Wiley and Sons, Inc., 2017
Language
English
ISBN
9781119091882
Series
Systems and industrial engineering robotics series
Subject(s)
  • HEURISTIC PROGRAMMING
  • MATHEMATICAL OPTIMIZATION
Notes
  • Includes bibliographical references and index
. .
Abstract
In the automotive industry, a Control Engineer must design a unique control law that is then tested and validated on a single prototype with a level of reliability high enough to to meet a number of complex specifications on various systems. In order to do this, the Engineer uses an experimental iterative process (Trial and Error phase) which relies heavily on his or her experience. This book looks to optimise the methods for synthesising servo controllers ny making them more direct and thus quicker to design. This is achieved by calculating a final controller to directly tackle the high-end system specs.
Physical Dimension
Number of Page(s)
1 online resource (xiii, 194 p.)
Dimension
-
Other Desc.
-
Summary / Review / Table of Content
Front Matter (Pages: i-xxxi)
CHAPTER 1 Metaheuristics for Controller Optimization (Pages: 1-34)
CHAPTER 2 Reformulation of Robust Control Problems for Stochastic Optimization (Pages: 35-169)
CHAPTER 3 Optimal Tuning of Structured and Robust H∞ Controllers Against High‐level Requirements (Pages: 171-277)
CHAPTER 4 HinfStoch: A Toolbox for Structured and Robust Controller Computation Based on Stochastic Optimization (Pages: 279-349)
Notions of Coprime Factorizations (Pages: 351-357)
Examples of LFT Form Used for Uncertain Systems (Pages: 359-364)
LFT Form Use of an Electromechanical System with Uncertain Flexible Modes (Pages: 365-381)
FTM (1D) Computation from a Time Signal (Pages: 383-384)
Choice of Iteration Number for CompLeib Tests (Pages: 385-392)
PDE versus DE (Pages: 393-397)
Bibliography (Pages: 399-406)
Index (Pages: 407)
Other titles from iSTE in Systems and Industrial Engineering – Robotics (Pages: G1-G8)
Exemplar(s)
# Accession No. Call Number Location Status
1.01146/19006.3 Vak ROnline !Available

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