Modeling, Estimation and Control of Systems with Uncertainty

Download Modeling, Estimation and Control of Systems with Uncertainty PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461204437
Total Pages : 478 pages
Book Rating : 4.4/5 (612 download)

DOWNLOAD NOW!


Book Synopsis Modeling, Estimation and Control of Systems with Uncertainty by : G.B. DiMasi

Download or read book Modeling, Estimation and Control of Systems with Uncertainty written by G.B. DiMasi and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers that have been presented at the Conference on Modeling and Control of Uncertain Systems held in Sopron, Hungary on September 3-7, 1990, organised within the framework of the activities of the System and Decision Sciences Program of IIASA - the International Institute for Applied Systems Analysis. The importance of the subject has drawn the attention of researchers all over the world since several years. In fact, in most actual applications the knowledge about the system under investigation presents aspects of uncertainty due to measurement errors or poor understanding of the rele vant underlying mechanisms. For this reason models that take into account these intrinsic uncertainties have been used and techniques for the analysis of their behavior as well as for their estimation and control have been devel oped. The main ways to deal with uncertainty consist in its description by stochastic processes or in terms of set-valued dynamics and this volume col lects relevant contributions in both directions. However, in order to avoid undesirable distinctions between these approaches, but on the contrary to stress the unity of ideas, we decided to organize the papers according to the alphabetical order of their authors. We should like to take this opportunity to thank IIASA for supporting the Conference and the Hungarian National Member Organization for the kind hospitality in Sopron. Finally we would like to express our gratitude to Ms. Donna Huchthausen for her valuable secretarial assistance. Vienna, February 20, 1991 GIOVANNI B.

Modeling, Estimation and Control of Systems with Uncertainty

Download Modeling, Estimation and Control of Systems with Uncertainty PDF Online Free

Author :
Publisher :
ISBN 13 : 9781461204442
Total Pages : 484 pages
Book Rating : 4.2/5 (44 download)

DOWNLOAD NOW!


Book Synopsis Modeling, Estimation and Control of Systems with Uncertainty by : G. B. Dimasi

Download or read book Modeling, Estimation and Control of Systems with Uncertainty written by G. B. Dimasi and published by . This book was released on 1991-09-01 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modeling, Design, and Simulation of Systems with Uncertainties

Download Modeling, Design, and Simulation of Systems with Uncertainties PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642159567
Total Pages : 356 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!


Book Synopsis Modeling, Design, and Simulation of Systems with Uncertainties by : Andreas Rauh

Download or read book Modeling, Design, and Simulation of Systems with Uncertainties written by Andreas Rauh and published by Springer Science & Business Media. This book was released on 2011-06-06 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about certain parts of a process or from the impossibility of characterizing it with absolute certainty. Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models, whereas stochastic uncertainties can be characterized in the form of a distribution described, for example, by the mean value, the standard deviation and higher-order moments. The goal of this Special Volume on Modeling, Design, and Simulation of Systems with Uncertainties is to cover modern methods for dealing with the challenges presented by imprecise or unavailable information. All contributions tackle the topic from the point of view of control, state and parameter estimation, optimization and simulation. Thematically, this volume can be divided into two parts. In the first we present works highlighting the theoretic background and current research on algorithmic approaches in the field of uncertainty handling, together with their reliable software implementation. The second part is concerned with real-life application scenarios from various areas including but not limited to mechatronics, robotics, and biomedical engineering.

Stochastic Models: Estimation and Control: v. 1

Download Stochastic Models: Estimation and Control: v. 1 PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0080956505
Total Pages : 445 pages
Book Rating : 4.0/5 (89 download)

DOWNLOAD NOW!


Book Synopsis Stochastic Models: Estimation and Control: v. 1 by : Maybeck

Download or read book Stochastic Models: Estimation and Control: v. 1 written by Maybeck and published by Academic Press. This book was released on 1979-07-17 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Models: Estimation and Control: v. 1

Modeling, Estimation and Control

Download Modeling, Estimation and Control PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3540735704
Total Pages : 370 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!


Book Synopsis Modeling, Estimation and Control by : Alessandro Chiuso

Download or read book Modeling, Estimation and Control written by Alessandro Chiuso and published by Springer. This book was released on 2007-10-24 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift is intended as a homage to our esteemed colleague, friend and maestro Giorgio Picci on the occasion of his sixty-?fth birthday. We have knownGiorgiosince our undergraduatestudies at the University of Padova, wherewe?rst experiencedhisfascinatingteachingin theclass ofSystem Identi?cation. While progressing through the PhD program, then continuing to collaborate with him and eventually becoming colleagues, we have had many opportunitiesto appreciate the value of Giorgio as a professor and a scientist, and chie?y as a person. We learned a lot from him and we feel indebted for his scienti?c guidance, his constant support, encouragement and enthusiasm. For these reasons we are proud to dedicate this book to Giorgio. The articles in the volume will be presented by prominent researchers at the "--Ternational Conference on Modeling, Estimation and Control: A Symposium in Honor of Giorgio Picci on the Occasion of his Sixty-Fifth Birthday", to be held in Venice on October 4-5, 2007. The material covers a broad range of topics in mathematical systems theory, esti- tion, identi?cation and control, re?ecting the wide network of scienti?c relationships established during the last thirty years between the authors and Giorgio. Critical d- cussion of fundamental concepts, close collaboration on speci?c topics, joint research programs in this group of talented people have nourished the development of the?eld, where Giorgio has contributed to establishing several cornerstones.

Stochastic Models: Estimation and Control: v. 2

Download Stochastic Models: Estimation and Control: v. 2 PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0080956513
Total Pages : 307 pages
Book Rating : 4.0/5 (89 download)

DOWNLOAD NOW!


Book Synopsis Stochastic Models: Estimation and Control: v. 2 by : Maybeck

Download or read book Stochastic Models: Estimation and Control: v. 2 written by Maybeck and published by Academic Press. This book was released on 1982-08-10 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Models: Estimation and Control: v. 2

Control in Bioprocessing

Download Control in Bioprocessing PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119296080
Total Pages : 297 pages
Book Rating : 4.1/5 (192 download)

DOWNLOAD NOW!


Book Synopsis Control in Bioprocessing by : Pablo A. López Pérez

Download or read book Control in Bioprocessing written by Pablo A. López Pérez and published by John Wiley & Sons. This book was released on 2020-03-03 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Closes the gap between bioscience and mathematics-based process engineering This book presents the most commonly employed approaches in the control of bioprocesses. It discusses the role that control theory plays in understanding the mechanisms of cellular and metabolic processes, and presents key results in various fields such as dynamic modeling, dynamic properties of bioprocess models, software sensors designed for the online estimation of parameters and state variables, and control and supervision of bioprocesses Control in Bioengineering and Bioprocessing: Modeling, Estimation and the Use of Sensors is divided into three sections. Part I, Mathematical preliminaries and overview of the control and monitoring of bioprocess, provides a general overview of the control and monitoring of bioprocesses, and introduces the mathematical framework necessary for the analysis and characterization of bioprocess dynamics. Part II, Observability and control concepts, presents the observability concepts which form the basis of design online estimation algorithms (software sensor) for bioprocesses, and reviews controllability of these concepts, including automatic feedback control systems. Part III, Software sensors and observer-based control schemes for bioprocesses, features six application cases including dynamic behavior of 3-dimensional continuous bioreactors; observability analysis applied to 2D and 3D bioreactors with inhibitory and non-inhibitory models; and regulation of a continuously stirred bioreactor via modeling error compensation. Applicable across all areas of bioprocess engineering, including food and beverages, biofuels and renewable energy, pharmaceuticals and nutraceuticals, fermentation systems, product separation technologies, wastewater and solid-waste treatment technology, and bioremediation Provides a clear explanation of the mass-balance–based mathematical modelling of bioprocesses and the main tools for its dynamic analysis Offers industry-based applications on: myco-diesel for implementing "quality" of observability; developing a virtual sensor based on the Just-In-Time Model to monitor biological control systems; and virtual sensor design for state estimation in a photocatalytic bioreactor for hydrogen production Control in Bioengineering and Bioprocessing is intended as a foundational text for graduate level students in bioengineering, as well as a reference text for researchers, engineers, and other practitioners interested in the field of estimation and control of bioprocesses.

System Modelling and Optimization

Download System Modelling and Optimization PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 0387348972
Total Pages : 635 pages
Book Rating : 4.3/5 (873 download)

DOWNLOAD NOW!


Book Synopsis System Modelling and Optimization by : J. Dolezal

Download or read book System Modelling and Optimization written by J. Dolezal and published by Springer. This book was released on 2013-06-05 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings volume contains carefully selected papers presented during the 17th IFIP Conference on System Modelling and Optimization. Optimization theory and practice, optimal control, system modelling, stochastic optimization, and technical and non-technical applications of the existing theory are among areas mostly addressed in the included papers. Main directions are treated in addition to several survey papers based on invited presentations of leading specialists in the respective fields. Publication provides state-of-the-art in the area of system theory and optimization and points out several new areas (e.g fuzzy set, neural nets), where classical optimization topics intersects with computer science methodology.

Whys and Hows in Uncertainty Modelling

Download Whys and Hows in Uncertainty Modelling PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3709125014
Total Pages : 391 pages
Book Rating : 4.7/5 (91 download)

DOWNLOAD NOW!


Book Synopsis Whys and Hows in Uncertainty Modelling by : Isaac Elishakoff

Download or read book Whys and Hows in Uncertainty Modelling written by Isaac Elishakoff and published by Springer. This book was released on 2014-05-04 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents, as a single package, three semingly contradictory and often competitive approaches to deal with ever present uncertainty in science and engineering. The book describes, as a unique view, probabilistic, fuzzy sets based and antioptimization based approaches, in order to remedy the present "tower ob Babel” situation, in which researchers in competing fields do not communicate. Integrative approach will attract scientists and engineers alike and provide a strong impetus towards integrative, hybrid approaches.

Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012)

Download Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012) PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 8132207572
Total Pages : 1322 pages
Book Rating : 4.1/5 (322 download)

DOWNLOAD NOW!


Book Synopsis Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012) by : Subrata Chakraborty

Download or read book Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012) written by Subrata Chakraborty and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 1322 pages. Available in PDF, EPUB and Kindle. Book excerpt: International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012) is organized by Bengal Engineering and Science University, India during the first week of January 2012 at Kolkata. The primary aim of ISEUSAM 2012 is to provide a platform to facilitate the discussion for a better understanding and management of uncertainty and risk, encompassing various aspects of safety and reliability of engineering systems. The conference received an overwhelming response from national as well as international scholars, experts and delegates from different parts of the world. Papers received from authors of several countries including Australia, Canada, China, Germany, Italy, UAE, UK and USA, besides India. More than two hundred authors have shown their interest in the symposium. The Proceedings presents ninety two high quality papers which address issues of uncertainty encompassing various fields of engineering, i.e. uncertainty analysis and modelling, structural reliability, geotechnical engineering, vibration control, earthquake engineering, environmental engineering, stochastic dynamics, transportation system, system identification and damage assessment, and infrastructure engineering.

Stochastic Systems

Download Stochastic Systems PDF Online Free

Author :
Publisher : SIAM
ISBN 13 : 1611974259
Total Pages : 371 pages
Book Rating : 4.6/5 (119 download)

DOWNLOAD NOW!


Book Synopsis Stochastic Systems by : P. R. Kumar

Download or read book Stochastic Systems written by P. R. Kumar and published by SIAM. This book was released on 2015-12-15 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and the conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.

Uncertainty Modeling for Engineering Applications

Download Uncertainty Modeling for Engineering Applications PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 9783030048693
Total Pages : 0 pages
Book Rating : 4.0/5 (486 download)

DOWNLOAD NOW!


Book Synopsis Uncertainty Modeling for Engineering Applications by : Flavio Canavero

Download or read book Uncertainty Modeling for Engineering Applications written by Flavio Canavero and published by Springer. This book was released on 2019-01-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of state-of-the-art uncertainty quantification (UQ) methodologies and applications, and covers a wide range of current research, future challenges and applications in various domains, such as aerospace and mechanical applications, structure health and seismic hazard, electromagnetic energy (its impact on systems and humans) and global environmental state change. Written by leading international experts from different fields, the book demonstrates the unifying property of UQ theme that can be profitably adopted to solve problems of different domains. The collection in one place of different methodologies for different applications has the great value of stimulating the cross-fertilization and alleviate the language barrier among areas sharing a common background of mathematical modeling for problem solution. The book is designed for researchers, professionals and graduate students interested in quantitatively assessing the effects of uncertainties in their fields of application. The contents build upon the workshop “Uncertainty Modeling for Engineering Applications” (UMEMA 2017), held in Torino, Italy in November 2017.

Stochastic Models, Estimation, and Control

Download Stochastic Models, Estimation, and Control PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0080960030
Total Pages : 311 pages
Book Rating : 4.0/5 (89 download)

DOWNLOAD NOW!


Book Synopsis Stochastic Models, Estimation, and Control by : Peter S. Maybeck

Download or read book Stochastic Models, Estimation, and Control written by Peter S. Maybeck and published by Academic Press. This book was released on 1982-08-25 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume builds upon the foundations set in Volumes 1 and 2. Chapter 13 introduces the basic concepts of stochastic control and dynamic programming as the fundamental means of synthesizing optimal stochastic control laws.

Stochastic Differential and Difference Equations

Download Stochastic Differential and Difference Equations PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9780817639716
Total Pages : 384 pages
Book Rating : 4.6/5 (397 download)

DOWNLOAD NOW!


Book Synopsis Stochastic Differential and Difference Equations by : Imre Csiszár

Download or read book Stochastic Differential and Difference Equations written by Imre Csiszár and published by Springer Science & Business Media. This book was released on 1997 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Periodically Correlated Solutions to a Class of Stochastic Difference Equations.- On Nonlinear SDE'S whose Densities Evolve in a Finite-Dimensional Family.- Composition of Skeletons and Support Theorems.- Invariant Measure for a Wave Equation on a Riemannian Manifold.- Ergodic Distributed Control for Parameter Dependent Stochastic Semilinear Systems.- Dirichlet Forms, Caccioppoli Sets and the Skorohod Equation Masatoshi Fukushima.- Rate of Convergence of Moments of Spall's SPSA Method.- General Setting for Stochastic Processes Associated with Quantum Fields.- On a Class of Semilinear Stochastic Partial Differential Equations.- Parallel Numerical Solution of a Class of Volterra Integro-Differential Equations.- On the Laws of the Oseledets Spaces of Linear Stochastic Differential Equations.- On Stationarity of Additive Bilinear State-space Representation of Time Series.- On Convergence of Approximations of Ito-Volterra Equations.- Non-isotropic Ornstein-Uhlenbeck Process and White Noise Analysis.- Stochastic Processes with Independent Increments on a Lie Group and their Selfsimilar Properties.- Optimal Damping of Forced Oscillations Discrete-time Systems by Output Feedback.- Forecast of Lévy's Brownian Motion as the Observation Domain Undergoes Deformation.- A Maximal Inequality for the Skorohod Integral.- On the Kinematics of Stochastic Mechanics.- Stochastic Equations in Formal Mappings.- On Fisher's Information Matrix of an ARMA Process.- Statistical Analysis of Nonlinear and NonGaussian Time Series.- Bilinear Stochastic Systems with Long Range Dependence in Continuous Time.- On Support Theorems for Stochastic Nonlinear Partial Differential Equations.- Excitation and Performance in Continuous-time Stochastic Adaptive LQ-control.- Invariant Measures for Diffusion Processes in Conuclear Spaces.- Degree Theory on Wiener Space and an Application to a Class of SPDEs.- On the Interacting Measure-Valued Branching Processes.

Adaptive Modelling, Estimation and Fusion from Data

Download Adaptive Modelling, Estimation and Fusion from Data PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642182429
Total Pages : 334 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!


Book Synopsis Adaptive Modelling, Estimation and Fusion from Data by : Chris Harris

Download or read book Adaptive Modelling, Estimation and Fusion from Data written by Chris Harris and published by Springer Science & Business Media. This book was released on 2012-10-05 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data based modelling new concepts including extended additive and multiplicative submodels are developed. All of these algorithms are illustrated with benchmark examples to demonstrate their efficiency. The book aims at researchers and advanced professionals in time series modelling, empirical data modelling, knowledge discovery, data mining and data fusion.

Scientific and Technical Aerospace Reports

Download Scientific and Technical Aerospace Reports PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 1006 pages
Book Rating : 4.X/5 (4 download)

DOWNLOAD NOW!


Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1977 with total page 1006 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Mathematical Theory of Hints

Download A Mathematical Theory of Hints PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3662016745
Total Pages : 430 pages
Book Rating : 4.6/5 (62 download)

DOWNLOAD NOW!


Book Synopsis A Mathematical Theory of Hints by : Juerg Kohlas

Download or read book A Mathematical Theory of Hints written by Juerg Kohlas and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: An approach to the modeling of and the reasoning under uncertainty. The book develops the Dempster-Shafer Theory with regard to the reliability of reasoning with uncertain arguments. Of particular interest here is the development of a new synthesis and the integration of logic and probability theory. The reader benefits from a new approach to uncertainty modeling which extends classical probability theory.