Electronic Resource

Linear quadratic controls in risk averse decision making : performance measure statistics and control decision optimization

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Linear-Quadratic Controls in Risk-Averse Decision Making cuts across control engineering (control feedback and decision optimization) and statistics (post-design performance analysis) with a common theme: reliability increase seen from the responsive angle of incorporating and engineering multi-level performance robustness beyond the long-run average performance into control feedback design and decision making and complex dynamic systems from the start. This monograph provides a complete description of statistical optimal control (also known as cost-cumulant control) theory. In control problems and topics, emphasis is primarily placed on major developments attained and explicit connections between mathematical statistics of performance appraisals and decision and control optimization. Chapter summaries shed light on the relevance of developed results, which makes this monograph suitable for graduate-level lectures in applied mathematics and electrical engineering with systems-theoretic concentration, elective study or a reference for interested readers, researchers, and graduate students who are interested in theoretical constructs and design principles for stochastic controlled systems.​

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Ketersediaan

Informasi Detail

Judul Seri

Springer briefs in optimization

No. Panggil

E486

Penerbit

New York : Springer., 2012

Deskripsi Fisik

xii, 150 hlm.

Bahasa

English

ISBN/ISSN

9781461450795

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

1

Subjek

Matematika
Kontrol Stokastik

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Khanh D. Pham

Versi lain/terkait

Lampiran Berkas

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