Observers for Linear Systems with Unknown Inputs
Author : Shreyas Sundaram
Publisher :
Page : 130 pages
File Size : 33,74 MB
Release : 2005
Category :
ISBN :
Author : Shreyas Sundaram
Publisher :
Page : 130 pages
File Size : 33,74 MB
Release : 2005
Category :
ISBN :
Author : John O'Reilly
Publisher : Academic Press
Page : 259 pages
File Size : 35,1 MB
Release : 1983-08-18
Category : Business & Economics
ISBN : 0080959997
My aim, in writing this monograph, has been to remedy this omission by presenting a comprehensive and unified theory of observers for continuous-time and discrete -time linear systems. The book is intended for post-graduate students and researchers specializing in control systems, now a core subject in a number of disciplines. Forming, as it does, a self-contained volume it should also be of service to control engineers primarily interested in applications, and to mathematicians with some exposure to control problems.
Author : E. Emre
Publisher :
Page : 6 pages
File Size : 18,71 MB
Release : 1979
Category :
ISBN :
Author : S. K. Korovin
Publisher : Walter de Gruyter
Page : 253 pages
File Size : 27,36 MB
Release : 2009
Category : Control theory
ISBN : 3110218127
This book presents the basic concepts and recent developments of linear control problems with perturbations. The presentation concerns both continuous and discrete dynamical systems. It is self-contained and illustrated by numerous examples. From the contents: Notion of state observers Observability Observers of full-phase vectors for fully determined linear systems Functional observers for fully determined linear systems Asymptotic observers for linear systems with uncertainty Observers for bilinear and discrete systems
Author : Hieu Trinh
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 30,6 MB
Release : 2011-09-24
Category : Technology & Engineering
ISBN : 3642240631
The theory of linear functional observers, which is the subject of this book, is increasingly becoming a popular researched topic because of the many advantages it presents in state observation and control system design. This book presents recent information on the current state of the art research in this field. This book will serve as a useful reference to researchers in this area of research to understand the fundamental concepts relevant to the theory of functional observers and to gather most recent advancements in the field. This book is useful to academics and postgraduate students researching into the theory of linear functional observers. This book can also be useful for specialized final year undergraduate courses in control systems engineering and applied mathematics with a research focus.
Author : Omar Naifar
Publisher : Springer Nature
Page : 200 pages
File Size : 16,47 MB
Release : 2022-02-01
Category : Technology & Engineering
ISBN : 3030927318
This book discusses various methods for designing different kinds of observers, such as the Luenberger observer, unknown input observers, discontinuous observers, sliding mode observers, observers for impulsive systems, observers for nonlinear Takagi-Sugeno fuzzy systems, and observers for electrical machines. A hydraulic process system and a renewable energy system are provided as examples of applications.
Author : G. H. Hostetter
Publisher :
Page : 364 pages
File Size : 14,87 MB
Release : 1973
Category :
ISBN :
The theory of observers for linear, time invariant systems is generalized to systems where some of the system inputs are unmeasurable (or inaccessible) and statistically unknown. Criteria for the existence of such observers for systems with a single output and a single unknown input are developed. When the number of unknown inputs is equal to the number of system outputs, it is shown that the observer may be decomposed into a set of equivalent single output, single unknown input systems for which the previous results apply. For systems with more outputs than unknown inputs, a minimal number of outputs, derived from linear combinations of the original system output is examined. For sampled data measurements, it is shown that there are considerable practical advantages to sampling an ovserver error signal rather than the system outputs and inputs directly. A solution for the initial system state corresponding to the continuous-time stochastic smoothing filter is obtained. (Author).
Author : Giuseppe Conte
Publisher : Springer Science & Business Media
Page : 183 pages
File Size : 17,62 MB
Release : 2007-01-19
Category : Technology & Engineering
ISBN : 184628595X
This is a self-contained introduction to algebraic control for nonlinear systems suitable for researchers and graduate students. It is the first book dealing with the linear-algebraic approach to nonlinear control systems in such a detailed and extensive fashion. It provides a complementary approach to the more traditional differential geometry and deals more easily with several important characteristics of nonlinear systems.
Author : Gildas Besançon
Publisher : Springer
Page : 234 pages
File Size : 44,57 MB
Release : 2007-10-11
Category : Technology & Engineering
ISBN : 3540735038
The purpose of this fantastically useful book is to lay out an overview on possible tools for state reconstruction in nonlinear systems. Here, basic observability notions and observer structures are recalled, together with ingredients for advanced designs on this basis. The problem of state reconstruction in dynamical systems, known as observer problem, is crucial for controlling or even merely monitoring processes. For linear systems, the theory has been well established for several years, so this book attempts to tackle the problem for non-linear systems.
Author : Shihua Li
Publisher : CRC Press
Page : 342 pages
File Size : 47,68 MB
Release : 2016-04-19
Category : Computers
ISBN : 1466515805
Due to its abilities to compensate disturbances and uncertainties, disturbance observer based control (DOBC) is regarded as one of the most promising approaches for disturbance-attenuation. One of the first books on DOBC, Disturbance Observer Based Control: Methods and Applications presents novel theory results as well as best practices for applica