ISBN: 9780486682006 - optimal control and estimation (38 résultats)

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Paperback. Etat : Very Good. Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems.

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Etat : Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Etat : Very Good. Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems.

Paperback. Etat : Fair. Revised ed. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

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Etat : New.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Etat : new. Paperback. Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems. "Invaluable as a reference for those already familiar with the subject." - Automatica. "An excellent introduction to optimal control and estimation theory and its relationship with LQG design. invaluable as a reference for those already familiar with the subject." - Automatica. This highly regarded graduate-level text provides a comprehensive introduction to optimal control theory for stochastic systems, emphasizing application of its basic concepts to real problems. The first two chapters introduce optimal control and review the mathematics of control and estimation. Chapter 3 addresses optimal control of systems that may be nonlinear and time-varying, but whose inputs and parameters are known without error. Chapter 4 of the book presents methods for estimating the dynamic states of a system that is driven by uncertain forces and is observed with random measurement error. Chapter 5 discusses the general problem of stochastic optimal control, and the concluding chapter covers linear time-invariant systems. Robert F. Stengel is Professor of Mechanical and Aerospace Engineering at Princeton University, where he directs the Topical Program on Robotics and Intelligent Systems and the Laboratory for Control and Automation. He was a principal designer of the Project Apollo Lunar Module control system. Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems. "Invaluable as a reference for those already familiar with the subject." - Automatica. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : New. Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems.

Etat : New. Series: Dover Books on Mathematics. Num Pages: 639 pages, 142 illutrations. BIC Classification: PBW; TJFM. Category: (G) General (US: Trade). Dimension: 209 x 145 x 33. Weight in Grams: 728. . 1994. Reissue. Paperback. . . . .

Etat : New.

Etat : good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Etat : New. Series: Dover Books on Mathematics. Num Pages: 639 pages, 142 illutrations. BIC Classification: PBW; TJFM. Category: (G) General (US: Trade). Dimension: 209 x 145 x 33. Weight in Grams: 728. . 1994. Reissue. Paperback. . . . . Books ship from the US and Ireland.

Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.

Paperback. Etat : Brand New. reissue edition. 639 pages. 8.50x5.75x1.25 inches. In Stock.

Paperback. Etat : Brand New. reissue edition. 639 pages. 8.50x5.75x1.25 inches. In Stock.