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170128s2017 xx ob 001 0 eng d |
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|a 969894267
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|a 9781119340942
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|a 1119340942
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|a (OCoLC)970637586
|z (OCoLC)969894267
|z (OCoLC)980621250
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|a T57.84
|b .M34 2017
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|a 620.00151960000005
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|a UAMI
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|a Feyel, Philippe.
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|a Evolutionary Robust Control.
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| 260 |
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|a Somerset :
|b John Wiley & Sons, Incorporated,
|c 2017.
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| 300 |
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|a 1 online resource (453 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
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|a Systems and Industrial Engineering Robotics Series
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|a Print version record.
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|6 880-01
|a Cover; Title Page; Copyright; Contents; Preface; Introduction and Motivations; I.1. Developing control engineering in an industrial framework; I.2. The place of optimization; I.3. Notations and definitions; I.3.1. Linear time-invariant systems (LTISs); I.3.2. Singular values; I.3.3. Subspace R H∞ and norm H∞; I.3.4. Linear fractional transformation (LFT); 1. Metaheuristics for Controller Optimization; 1.1. Introduction; 1.2. Evolutionary approaches using differential evolution; 1.2.1. Standard version; 1.2.2. Perturbed version; 1.3. Swarm approaches
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|a 2.4.2. The LPV/LFT controller synthesis problem2.4.3. Reformulation for stochastic optimization; 3. Optimal Tuning of Structured and Robust H∞ Controllers Against High-level Requirements; 3.1. Introduction and motivations; 3.2. Loop-shaping H∞ synthesis; 3.2.1. Approach principle; 3.2.2. Generalized gain and phase margins; 3.2.3. Four-block interpretation of the method; 3.2.4. Practical implementation; 3.2.5. Implementation of controllers; 3.3. A generic method for the declination of requirements; 3.3.1. General principles; 3.3.2. Special cases; 3.3.3. Management of requirement priority level
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|a 3.4. Optimal tuning of weighting functions3.4.1. Optimization on nominal plant; 3.4.2. Multiple plant optimization; 3.4.3. Applicative example -- inertial stabilization of line of sight; 3.5. Optimal tuning of the fixed-structure and fixed-order final controller; 3.5.1. Introduction; 3.5.2. Toward eliminating weighting functions; 3.5.3. Extensions to the approach; 3.5.4. Link with standard control problems; 4. HinfStoch: A Toolbox for Structured and Robust Controller Computation Based on Stochastic Optimization; 4.1. Introduction; 4.2. Structured multiple plant H∞ synthesis; 4.2.1. Principle
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|a 4.2.2. Formalism4.3. Structured æ-synthesis; 4.3.1. Principle; 4.3.2. Formalism; 4.4. Structured LPV/LFT synthesis; 4.4.1. Principle; 4.4.2. Formalism; 4.5. Structured and robust synthesis against high-level requirements with HinfStoch_ControllerTuning; 4.5.1. Principle; 4.5.2. Formalism; 4.5.3. Examples; APPENDICES; Appendix A: Notions of Coprime Factorizations; A.1. Definitions; A.2. Practical computation of normalized coprime factorizations; A.3. Reconstruction of a transfer function by its coprime factors; Appendix B: Examples of LFT Form Used for Uncertain Systems.
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| 500 |
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|a B.1. Example of LFT form use for a neglected dynamic.
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| 504 |
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|a Includes bibliographical references and index.
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
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0 |
|a Heuristic programming.
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| 650 |
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|a Mathematical optimization.
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| 650 |
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6 |
|a Programmation heuristique.
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| 650 |
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6 |
|a Optimisation mathématique.
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| 650 |
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7 |
|a Heuristic programming
|2 fast
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| 650 |
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7 |
|a Mathematical optimization
|2 fast
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| 776 |
0 |
8 |
|i Print version:
|a Feyel, Philippe.
|t Evolutionary Robust Control.
|d Somerset : John Wiley & Sons, Incorporated, ©2017
|z 9781786300423
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| 830 |
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0 |
|a Robotics series.
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| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4790363
|z Texto completo
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| 880 |
8 |
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|6 505-01/(S
|a 1.3.1. Particle swarm optimization algorithm1.3.2. Quantum particle swarm algorithm; 1.3.3. Artificial bee colony optimization algorithm; 1.3.4. Cuckoo search algorithm; 1.3.5. Firefly algorithm; 1.4. Summary; 2. Reformulation of Robust Control Problems for Stochastic Optimization; 2.1. Introduction; 2.2. H∞ synthesis; 2.2.1. Full H∞ synthesis; 2.2.2. Fixed-structure H∞ synthesis; 2.2.3. Formulating H∞ synthesis for stochastic optimization; 2.2.4. Conclusion; 2.3. æ-synthesis; 2.3.1. The problem of performance robustness; 2.3.2. μ-Synthesis; 2.4. LPV/LFT synthesis; 2.4.1. Introduction.
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| 938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL4790363
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| 938 |
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|a YBP Library Services
|b YANK
|n 13387994
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| 994 |
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|a 92
|b IZTAP
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