Fixed Interval Smoothing for State Space Models: 609 (The Springer International Series in Engineering and Computer Science, 609) - Image 1

£89.99

Springer Fixed Interval Smoothing for State Space Models: 609 (The Springer International Series in Engineering and Computer Science, 609)

Name: Fixed Interval Smoothing for State Space Models: 609 (The Springer International Series in Engineering and Computer Science, 609)
Brand: Springer
Price: 89.99 GBP
Availability: InStock

Computer Science

It has never been this cheap. We have no record of a lower price.

£90 today · cheaper than every other day in the last 5 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 37 days • 37 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 37 days • 1 price levels

Days at Price

Price Analysis

Most common price: £90 (37 days, 100.0%)

Price range: £90 - £90

Price levels: 1 different prices over 37 days

Description

Fixed-interval smoothing is a method of extracting useful information from inaccurate data. It has been applied to problems in engineering, the physical sciences, and the social sciences, in areas such as control, communications, signal processing, acoustics, geophysics, oceanography, statistics, econometrics, and structural analysis. This monograph addresses problems for which a linear stochastic state space model is available, in which case the objective is to compute the linear least-squares estimate of the state vector in a fixed interval, using observations previously collected in that interval. The author uses a geometric approach based on the method of complementary models. Using the simplest possible notation, he presents straightforward derivations of the four types of fixed-interval smoothing algorithms, and compares the algorithms in terms of efficiency and applicability. Results show that the best algorithm has received the least attention in the literature. Fixed Interval Smoothing for State Space Models: includes new material on interpolation, fast square root implementations, and boundary value models; is the first book devoted to smoothing; contains an annotated bibliography of smoothing literature; uses simple notation and clear derivations; compares algorithms from a computational perspective; identifies a best algorithm. Fixed Interval Smoothing for State Space Models will be the primary source for those wanting to understand and apply fixed-interval smoothing: academics, researchers, and graduate students in control, communications, signal processing, statistics and econometrics. Review `In the reviewer's opinion, this monograph is pioneering in a fascinating and relatively new field of research. It should prove useful to people working in control theory and doing research on smoothing, and for those who want to choose a smoothing algorithm for a particular application. ' Zdzislaw W. Trzaska, American Mathematical Society

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0792372999
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 28 February 2001
Listed Since: 15 December 2006

Barcode

No barcode data available

Springer Fixed Interval Smoothing for State Space Models: 609 (The Springer International Series in Engineering and Computer Science, 609)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Smoothing, Filtering and Prediction - Estimating The Past, Present and Future

Advances and Applications in Sliding Mode Control systems: 576 (Studies in Computational Intelligence, 576)

Advances and Applications in Sliding Mode Control systems: 576 (Studies in Computational Intelligence, 576)

Birkhauser Stochastic Networked Control Systems Book

Advanced and Optimization Based Sliding Mode Control: Theory and Applications (Advances in Design and Control)

Sliding Mode Control and Observation (Control Engineering)

Semi-Markov Models: Control of Restorable Systems with Latent Failures

Stability Analysis of Fuzzy-Model-Based Control Systems: Linear-Matrix-Inequality Approach: 264 (Studies in Fuzziness and Soft Computing, 264)

Introduction to Stochastic Control Theory (Volume 70) (Mathematics in Science and Engineering, Volume 70)

Event-Triggered Sliding Mode Control: A New Approach to Control System Design: 139 (Studies in Systems, Decision and Control, 139)

Event-Triggered Sliding Mode Control: A New Approach to Control System Design: 139 (Studies in Systems, Decision and Control, 139)

Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach: 91 (Studies in Systems, Decision and Control)

Universal Fuzzy Controllers for Non-affine Nonlinear Systems (Springer Theses)

Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties: 1 (Springer Tracts in Autonomous Systems, 1)

Mathematical Methods in Robust Control of Linear Stochastic Systems: 50 (Mathematical Concepts and Methods in Science and Engineering, 50)

Advances in Discrete-Time Sliding Mode Control: Theory and Applications

Introduction to Modern Controls: with Illustrations in MATLAB and Python

Dynamic System Modelling and Analysis with MATLAB and Python: For Control Engineers (IEEE Press Series on Control Systems Theory and Applications)

Stability of Dynamical Systems: On the Role of Monotonic and Non-Monotonic Lyapunov Functions (Systems & Control: Foundations & Applications)

Optimal Reference Shaping for Dynamical Systems: Theory and Applications

Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals: 170 (Studies in Systems, Decision and Control, 170)

Control and Estimation in Distributed Parameter Systems: 11 (Frontiers in Applied Mathematics, Series Number 11)

Carleman Estimates for Second Order Partial Differential Operators and Applications: A Unified Approach (SpringerBriefs in Mathematics)

Algebraic Identification and Estimation Methods in Feedback Control Systems (Wiley Series in Dynamics and Control of Electromechanical Systems)