Robustness In Identification And Control
DOWNLOAD
Download Robustness In Identification And Control PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Robustness In Identification And Control book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Robustness In Identification And Control
DOWNLOAD
Author : M. Milanese
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Robustness In Identification And Control written by M. Milanese and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Medical categories.
This volume collects most of the papers presented at the International Workshop on Robustness in Identification and Control, held in Torino (Italy) in 1988. The main focal point of the workshop was Unknown But Bounded uncertainty and associated robustness issues in identification and control. Recent years have seen a growing interest in studying models which include un known but bounded uncertainty. The motivation for dealing with such models is derived from robustness considerations. In many applications, some performance specification must be met for all admissible variations of the uncertain parameters. A second motivation for models with this type of uncertainty stems from the fact that the statistical description of uncertain variables may not be well known or even not suitable. For example, in some cases, only a small number of measurements is available and the resulting errors are due to analog-digital conversion, modelling ap proximation or round-off, so that a statistical description may actually be unreliable. The interest in unknown but bounded setting is certainly not new. In fact, en gineering practice demands for appropriate algorithms in dealing with finite sample properties, finite parameter variations, tolerance analysis, etc. Despite the natural need for such methods, the lack of sufficiently well assessed theoretical results and algorithms prevented a systematic use of these procedures until recent years. How ever, in the last few years, important advances have been made both in estimation theory and in stability analysis.
Special Issue On Robustness In Identification And Control
DOWNLOAD
Author : Antonio Vicino
language : en
Publisher:
Release Date : 2001
Special Issue On Robustness In Identification And Control written by Antonio Vicino and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
Robustness Analysis For Identification And Control Of Nonlinear Systems
DOWNLOAD
Author : Mark M. Tobenkin
language : en
Publisher:
Release Date : 2014
Robustness Analysis For Identification And Control Of Nonlinear Systems written by Mark M. Tobenkin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
This thesis concerns two problems of robustness in the modeling and control of nonlinear dynamical systems. First, I examine the problem of selecting a stable nonlinear state-space model whose open-loop simulations are to match experimental data. I provide a family of techniques for addressing this problem based on minimizing convex upper bounds for simulation error over convex sets of stable nonlinear models. I unify and extend existing convex parameterizations of stable models and convex upper bounds. I then provide a detailed analysis which demonstrates that existing methods based on these principles lead to significantly biased model estimates in the presence of output noise. This thesis contains two algorithmic advances to overcome these difficulties. First, I propose a bias removal algorithm based on techniques from the instrumental-variables literature. Second, for the class of state-affine dynamical models, I introduce a family of tighter convex upper bounds for simulation error which naturally lead to an iterative identification scheme. The performance of this scheme is demonstrated on several benchmark experimental data sets from the system identification literature. The second portion of this thesis addresses robustness analysis for trajectory-tracking feedback control applied to nonlinear systems. I introduce a family of numerical methods for computing regions of finite-time invariance (funnels) around solutions of polynomial differential equations. These methods naturally apply to non-autonomous differential equations that arise in closed-loop trajectory-tracking control. The performance of these techniques is analyzed through simulated examples.
Robust System Identification And Control Design
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2001
Robust System Identification And Control Design written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
In this research project, we have made significant progress in several fronts of modem control technology. Our major research results include: new model identification and validation techniques, new model uncertainty and robustness characterization methods using probabilistic approach, randomized control analysis and design methods, some advanced nonlinear control techniques including bifurcation stabilization and compressor stabilization techniques, model reduction techniques, fault detection and fault tolerant control methods, and several robust stability analysis algorithms.
Robust Systems Theory And Applications
DOWNLOAD
Author : Ricardo S. Sánchez-Peña
language : en
Publisher: Wiley-Interscience
Release Date : 1998-08-17
Robust Systems Theory And Applications written by Ricardo S. Sánchez-Peña and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-08-17 with Science categories.
Designed as a university textbook, this text on robust systems theory includes problems with every chapter, a solutions manual and Matlab files containing worked examples.
Identification For Robust Control System Modeling For Synthesis Of Control Laws
DOWNLOAD
Author : Laszlo Keviczky
language : en
Publisher:
Release Date : 1999
Identification For Robust Control System Modeling For Synthesis Of Control Laws written by Laszlo Keviczky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.
One of the major theoretical contribution of our project is a new two-degree of freedom controller design approach based on a generic optimal control scheme. This is a new structure how to design optimal pole placement controllers. The scheme (named as a generic two-degree of freedom (G2DF) system) is based on a special (Keviczky-Banyasz, or shortly K-B) parametrization. It was proved that the optimality of this scheme in H2 and/or H sub infinity spaces can be reached by special selection of two serial filters obtained from the solution of low order Diophantine equations and/or Navenlina-Pick approximation paradigm. A new controller refinement technique was introduced which allows to determine the reachable maximum bandwidth under an amplitude constraint for the control action by iteratively redesigning the applied reference model as a new step in the basic iterative scheme. It succeeded to derive a new uncertainty relationship limiting the product of control performance and robustness. In the generic scheme where the investigation was performed the control and identification errors are the same, so this inequality limits the product of the model accuracy and a robustness measure of the closed loop control system. The different separate phases of identification for and design of robust control can properly be handled in a new approach combining the classical "minimum variance" like control with the a concept of "maximum variance" input design for robust identification for control. This "triple" control approach gradually (iteratively or recursively, depending on the applied scheme) improves the frequency spectrum of an initial reference input signal excitation approaching and concentrating on the vital medium frequency domain around the cross-over frequency.
System Identification For Robust Control Design
DOWNLOAD
Author : R. L. Kosut
language : en
Publisher:
Release Date : 1992
System Identification For Robust Control Design written by R. L. Kosut and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Robust System Identification And Robust Model Predictive Control With Applications To Chemical Engineering Processes
DOWNLOAD
Author : Dawei Wang
language : en
Publisher:
Release Date : 2001
Robust System Identification And Robust Model Predictive Control With Applications To Chemical Engineering Processes written by Dawei Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Chemical process control categories.
Robustness And Identification Issues In Horizon Predictive Control With Application To A Binary Distillation Column
DOWNLOAD
Author : Emrod Elisante
language : en
Publisher:
Release Date : 1992
Robustness And Identification Issues In Horizon Predictive Control With Application To A Binary Distillation Column written by Emrod Elisante and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Chemical process control categories.
Robust Control And Robust Identification
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1997
Robust Control And Robust Identification written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
This is the final technical report on the above referenced grant on the subject of robust control and robust identification. The work under the grant focused on the following topics: multiple objective robust controller synthesis, robust control analysis and synthesis, robust identification including frequency domain identification in H-infinity and model validation, implementation of gain scheduled controllers for nonlinear control, and engineering applications of the theoretical results. The report gives a summary overview of the results in these research areas. It also contains a complete list of papers which have been published under the grant.