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Robust control optimization with metaheuristics

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Feyel, Philippe Unknown John Wiley and Sons, Inc. (Hoboken, New Jersey, 2017) (eng) English 9781119340959 Systems and industrial engineering robotics series Unknown MATHEMATICAL OPTIMIZATION; Includes bibliographical references and index; 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
1 online resource (xxxi, 407 p.) Unknown Unknown

Summary / review / table of contents

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)


Copies
Access no. Call number Location Status
01148/19 006.3 Fey R Online Available