A01=Dan Popa
A01=Frank L. Lewis
A01=Lihua Xie
advanced estimation techniques for dynamic systems
Author_Dan Popa
Author_Frank L. Lewis
Author_Lihua Xie
Be
Bounded Real Lemma
Category=PBT
Complete State Information
control systems engineering
Dan Popa
Diophantine Equation
Dynamic Output Feedback
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Filter Gain
Filtering Error
Filtering Error Dynamic
Filtering Error Variance
Filtering Problem
graduate level control theory
H-infinity robust filtering
Incomplete State Information
Kaiman Filter
Lihua Xie
MATLAB algorithm implementation
Matrix Inversion Lemma
Minimum Variance Controller
nonlinear system estimation
Optimal Control
Optimal Control Problem
Polynomial Approach
Polynomial Systems
Process Noise
Regulation Error
Riccati Equation Approach
Signal Generating Mechanism
State Variable Feedback
stochastic filtering methods
Stochastic Polynomial Systems
Transfer Function Matrix
Product details
- ISBN 9780849390081
- Weight: 920g
- Dimensions: 156 x 234mm
- Publication Date: 17 Sep 2007
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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More than a decade ago, world-renowned control systems authority Frank L. Lewis introduced what would become a standard textbook on estimation, under the title Optimal Estimation, used in top universities throughout the world. The time has come for a new edition of this classic text, and Lewis enlisted the aid of two accomplished experts to bring the book completely up to date with the estimation methods driving today's high-performance systems.
A Classic Revisited
Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory, Second Edition reflects new developments in estimation theory and design techniques. As the title suggests, the major feature of this edition is the inclusion of robust methods. Three new chapters cover the robust Kalman filter, H-infinity filtering, and H-infinity filtering of discrete-time systems.
Modern Tools for Tomorrow's Engineers
This text overflows with examples that highlight practical applications of the theory and concepts. Design algorithms appear conveniently in tables, allowing students quick reference, easy implementation into software, and intuitive comparisons for selecting the best algorithm for a given application. In addition, downloadable MATLAB® code allows students to gain hands-on experience with industry-standard software tools for a wide variety of applications.
This cutting-edge and highly interactive text makes teaching, and learning, estimation methods easier and more modern than ever.
Lewis, Frank L.; Xie, Lihua; Popa, Dan
