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Optimal Estimation: With an Introduction to Stochastic Control Theory, by Frank L. Lewis
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Describes the use of optimal control and estimation in the design of robots, controlled mechanisms, and navigation and guidance systems. Covers control theory specifically for students with minimal background in probability theory. Presents optimal estimation theory as a tutorial with a direct, well-organized approach and a parallel treatment of discrete and continuous time systems. Gives practical examples and computer simulations. Provides enough mathematical rigor to put results on a firm foundation without an overwhelming amount of proofs and theorems.
- Sales Rank: #748250 in Books
- Published on: 1986-04
- Original language: English
- Number of items: 1
- Dimensions: 9.37" h x 1.03" w x 6.10" l, .0 pounds
- Binding: Hardcover
- 368 pages
From the Publisher
Describes the use of optimal control and estimation in the design of robots, controlled mechanisms, and navigation and guidance systems. Covers control theory specifically for students with minimal background in probability theory. Presents optimal estimation theory as a tutorial with a direct, well-organized approach and a parallel treatment of discrete and continuous time systems. Gives practical examples and computer simulations. Provides enough mathematical rigor to put results on a firm foundation without an overwhelming amount of proofs and theorems.
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