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This title focuses on two significant problems in the field of automatic control, in particular state estimation and robust Model Predictive Control under input and state constraints, bounded disturbances and measurement noises. The authors build upon previous results concerning zonotopic set-membership state estimation and output feedback tube-based Model Predictive Control. Various existing zonotopic set-membership estimation methods are investigated and their advantages and drawbacks are discussed, making this book suitable both for researchers working in automatic control and industrial partners interested in applying the proposed techniques to real systems. The authors proceed to focus on a new method based on the minimization of the P-radius of a zonotope, in order to obtain a good trade-off between the complexity and the accuracy of the estimation. They propose a P-radius based set-membership estimation method to compute a zonotope containing the real states of a system, which are consistent with the disturbances and measurement noise. The problem of output feedback control using a zonotopic set-membership estimation is also explored. Among the approaches from existing literature on the subject, the implementation of robust predictive techniques based on tubes of trajectories is developed. Contents 1. Uncertainty Representation Based on Set Theory. 2. Several Approaches on Zonotopic Guaranteed Set-Membership Estimation. 3. Zonotopic Guaranteed State Estimation Based on P-Radius Minimization. 4. Tube Model Predictive Control Based on Zonotopic Set-Membership Estimation. About the Authors Vu Tuan Hieu Le is a Research Engineer at the IRSEEM/ESIGELEC Technopôle du Madrillet, Saint Etienne du Rouvray, France. Cristina Stoica is Assistant Professor in the Automatic Control Department at SUPELEC Systems Sciences (E3S), France. Teodoro Alamo is Professor in the Department of Systems Engineering and Automatic Control at the University of Seville, Spain. Eduardo F. Camacho is Professor in the Department of Systems Engineering and Automatic Control at the University of Seville, Spain. Didier Dumur is Professor in the Automatic Control Department, SUPELEC Systems Sciences (E3S), France.
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Seitenzahl: 141
Veröffentlichungsjahr: 2013
Table of Contents
Notations
Acronyms
Introduction
Chapter 1: Uncertainty Representation Based on Set Theory
1.1. Basic set definitions: advantages and weaknesses
1.2. Main properties of zonotopes
Chapter 2: Several Approaches on Zonotopic Guaranteed Set-Membership Estimation
2.1. Context
2.2. Problem formulation
Chapter 3: Zonotopic Guaranteed State Estimation Based on P-Radius Minimization
3.1. Single-Output systems approach
3.2. Multi-Output systems approaches
Chapter 4: Tube Model Predictive Control Based on Zonotopic Set-Membership Estimation
4.1. Context
4.2. Problem formulation
4.3. Tube-based output feedback Model Predictive Control design
4.4. Application on the magnetic levitation system
Conclusion and Perspectives
Appendix: Basic Matrix Operation Definitions
Bibliography
Index
First published 2013 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.
Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:
ISTE Ltd27-37 St George’s RoadLondon SW19 4EUUKwww.iste.co.uk
John Wiley & Sons, Inc.111 River StreetHoboken, NJ 07030USAwww.wiley.com
© ISTE Ltd 2013 The rights of Vu Tuan Hieu Le, Cristina Stoica, Teodoro Alamo, Eduardo F. Camacho and Didier Dumur to be identified as the author of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.
Library of Congress Control Number: 2013945045
British Library Cataloguing-in-Publication Data
A CIP record for this book is available from the British Library
ISBN: 978-1-84821-589-4
Notations
Set of real numbers
Set of strictly positive real numbers
Set of
n
-dimensional real vector
B
n
Unitary box in
α
General notation for a scalar
a
General notation for a vector
A
General notation for a matrix
A
T
Transpose of matrix
A
A
−1
Inverse of matrix
A
det
(
A
)
Determinant of matrix
A
tr
(
A
)
Trace of matrix
A
Im
(
A
)
Image of matrix
A
General notation for strictly positive definite matrix
A
General notation for positive definite matrix
A
General notation for strictly negative definite matrix
A
General notation for negative definite matrix
A
I
n
Identity matrix in
O
n
Zeros matrix in
diag
(
a
1
,...,
a
n
)
Diagonal matrix of dimension
n
General notation of a
m
-zonotope
rs
(
H
)
Round-sum of matrix
H
Approximation of zonotope by a box
Approximation of zonotope by a parallelotope
Zonotope inclusion
Absolute value
Infinity norm
P
-norm
Frobenius norm
∈
It belongs to
⊂
Subset
Intersection
Minkowski sum
Pontryagin difference
M
(
S
)
Image of a set
S
Distance between the sets and (also called “normal” distance)
Hausdorff distance between the sets and
n
combination of
m
elements
n
!
Factorial of
n
The ith row of vector
y
k
conv
(·)
Convex hull
ω
~
N
(0,
Q
)
Random variable
ω
having zero means, normal distribution and covariance matrix
Q
Acronyms
BMI
Bilinear Matrix Inequality
CARIMA
Controlled Auto-Regressive Integrated Moving Average
CRHPC
Constrained Receding Horizon Predictive Control
DMC
Dynamic Matrix Control
EHAC
Extended Horizon Adaptive Control
EPSAC
Extended Prediction Self-Adaptive Control
ESO
Equivalent Single-Output
ESOCE
Equivalent Single-Output with Coupling Effect
EVP
Eigenvalue Problem
GPC
Generalized Predictive Control
LMI
Linear Matrix Inequality
LQ
Linear Quadratic control
LQR
Linear Quadratic Regulator
LTI
Linear Time Invariant
MAC
Model Algorithmic Control
MIMO
Multi-Input Multi-Output
MPC
Model Predictive Control
MPHC
Model Predictive Heuristic Control
MPT
Multi-Parametric Toolbox
MURHAC
Multi-predictor Receding Horizon Adaptive Control
MUSMAR
Multi-step Multivariable Adaptive Control
PAZI
Polytope and Zonotope Intersection
PFC
Predictive Functional Control
PMI
Polynomial Matrix Inequality
QP
Quadratic Programming
SISO
Single-Input Single-Output
SOS
Sum of Squares
SVD
Singular Value Decomposition
TMPC
Tube-based Model Predictive Control
UPC
Unified Predictive Control
This book stands at a crossroad between two major axes in automatic control: state estimation and robust control, applied to uncertain discrete-time linear time invariant systems. The goal is to take into account disturbances, measurement noises and constraints in order to build a zonotopic guaranteed state estimation and an output feedback control which can guarantee the feasibility and the stability of the closed-loop system in this specific context. Part of the results proposed in this book were developed and published in the PhD thesis of Hieu Le [LE 12c], under the supervision of the co-authors of this book.
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Lesen Sie weiter in der vollständigen Ausgabe!
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Lesen Sie weiter in der vollständigen Ausgabe!
