Used and New from Other Sellers
Used and New from Other Sellers
from $76.82
Usually ships in 12 business days
(Save 38%)
Other sellers (Hardcover)

All (8)
from
$76.82

New (3)
from
$94.90

Used (5)
from
$76.82
Note: Marketplace items are not eligible for any BN.com coupons and promotions
Hardcover New 0201558661.
Ships from: Lexington, KY
Usually ships in 12 business days
 •Canadian
 •International
 •Standard, 48 States
 •Standard (AK, HI)
 •Express, 48 States
 •Express (AK, HI)
$204.49
Seller since 2014
Brand New Item.
Ships from: Chatham, NJ
Usually ships in 12 business days
 •Canadian
 •International
 •Standard, 48 States
 •Standard (AK, HI)
 •Express, 48 States
 •Express (AK, HI)
$247.58
Seller since 2008
Ships from: Chicago, IL
Usually ships in 12 business days
 •Standard, 48 States
 •Standard (AK, HI)
More About This Textbook
Overview
Editorial Reviews
Booknews
An introduction to adaptive control techniques blending theory and implementation, for graduate level engineering majors. Covers self tuning regulators and modelreference adaptive systems, stochastic adaptive control, and related areas such as signal processing and neural networks. This second edition includes coverage of adaptive algorithms, and interactive computer analysis and simulation problems. Assumes knowledge of automatic control and sampled data systems. Annotation c. Book News, Inc., Portland, OR (booknews.com)Product Details
Related Subjects
Read an Excerpt
Goal of the Book
The New Edition
Outline of the Book
Prerequisites
Course Configuration
Simulation Tools
Supplements
Table of Contents
Introduction. Linear Feedback. Effects of Process Variation. Adaptive Schemes. The Adaptive Control Problem. Applications. Conclusions. Problems. References.
2. RealTime Parameter Estimation.
Introduction. Least Squares and Regression Models. Estimating Parameters in Dynamical Systems. Experimental Conditions. Simulation of Recursive Estimation. Prior Information. Conclusions. Problems. References.
3. Deterministic SelfTuning Regulators.
Introduction. Pole Placement Design. Indirect Selftuning Regulators. ContinuousTime Selftuners. Direct Selftuning Regulators. Disturbances with Known Characteristics. Conclusions. Problems. References.
4. Stochastic And Predictive SelfTuning Regulators.
Introduction. Design of MinimumVariance and MovingAverage Controllers. Stochastic SelfTuning Regulators. Unification of Direct Selftuning Regulators. Linear Quadratic STR. Adaptive Predictive Control. Conclusions. Problems. References.
5. ModelReference Adaptive Systems.
Introduction. The MIT Rule. Determination of the Adaptation Gain. Lyapunov Theory. Design of MRAS Using Lyapunov Theory. BoundedInput, BoundedOutput Stability. Applications to Adaptive Control. Output Feedback. Relations between MRAS and STR. Nonlinear Systems. Conclusions. Problems. References.
6. Properties Of Adaptive Systems.
Introduction. Nonlinear Dynamics. Adaptation of a Feedforward Gain. Analysis of Indirect DiscreteTime Selftuners. Stability of Direct DiscreteTime Algorithms. Averaging. Application of Averaging Techniques. Averaging in Stochastic Systems. Robust Adaptive Controllers. Conclusions. Problems. References.
7.Stochastic Adaptive Control.
Introduction. Multistop Decision Problems. The Stochastic Adaptive Problem. Dual Control. Suboptimal Strategies. Examples. Conclusions. Problems. References.
8. AutoTuning.
Introduction. PID Control. AutoTuning Techniques. Transient Response Methods. Methods Based on Relay Feedback. Relay Oscillations. Conclusions. Problems. References.
9. Gain Scheduling.
Introduction. The Principle. Design of GainScheduling Controllers. Nonlinear Transformations. Applications of Gain Scheduling. Conclusions. Problems. References.
10. Robust And SelfOscillating Systems.
Why Not Adaptive Control? Robust HighGain Feedback Control. Selfoscillating Adaptive Systems. VariableStructure Systems. Conclusions. Problems. References.
11. Practical Issues And Implementation.
Introduction. Controller Implementation. Controller Design. Solving the Diophantine Equation. Estimator Implementation. Square Root Algorithms. Interaction of Estimation and Control. Prototype Algorithms. Operational Issues. Conclusions. Problems. References.
12. Commercial Products And Applications.
Introduction. Status of Applications. Industrial Adaptive Controllers. Some Industrial Adaptive Controllers. Process Control. Automobile Control. Ship Steering. Ultrafiltration. Conclusions. Problems. References.
13. Perspectives On Adaptive Control.
Introduction. Adaptive Signal Processing. Extremum Control. Expert Control Systems. Learning Systems. Future Trends. Conclusions. References. Index.
Preface
Goal of the Book
The New Edition
Outline of the Book
Prerequisites
Course Configuration
Simulation Tools
Supplements
Wanted: Feedback
Acknowledgments
Introduction
Goal of the Book
The New Edition
Outline of the Book
Prerequisites
Course Configuration
Simulation Tools
Supplements
Wanted: Feedback
Acknowledgments