Download or read book A New Approach to Parameter Estimation for Large scale Processes written by R. Faber and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Parameter Estimation in Large Scale Systems Using the Maximum a Posteriori Approach MAP written by United States. National Technical Information Service and published by . This book was released on 1980 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Parameter Estimation in Engineering and Science written by James Vere Beck and published by James Beck. This book was released on 1977 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to and survey of parameter estimation; Probability; Introduction to statistics; Parameter estimation methods; Introduction to linear estimation; Matrix analysis for linear parameter estimation; Minimization of sum of squares functions for models nonlinear in parameters; Design of optimal experiments.

Download or read book Parameter Estimation and Uncertainty Quantification in Water Resources Modeling written by Philippe Renard and published by Frontiers Media SA. This book was released on 2020-04-22 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical models of flow and transport processes are heavily employed in the fields of surface, soil, and groundwater hydrology. They are used to interpret field observations, analyze complex and coupled processes, or to support decision making related to large societal issues such as the water-energy nexus or sustainable water management and food production. Parameter estimation and uncertainty quantification are two key features of modern science-based predictions. When applied to water resources, these tasks must cope with many degrees of freedom and large datasets. Both are challenging and require novel theoretical and computational approaches to handle complex models with large number of unknown parameters.

Download or read book The Multiple Projection Algorithm for Parameter Estimation in Large scale Systems written by M. P. Spathopoulos and published by . This book was released on 1980 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Parallel Implementation for Parameter Estimation with Implicit Models written by Lorenz T. Biegler and published by . This book was released on 1992 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Parameter estimation and data regression represent special classes of optimization problems. Often, nonlinear programming methods can be tailored to take advantage of the least squares, or more generally, the maximum likelihood, objective function. In previous studies we have developed large-scale nonlinear programming methods that are based on tailored quasi-Newton updating strategies and matrix decomposition of the process model. The resulting algorithms converge in a reduced space of the parameters while simultaneously converging the process model. Moreover, tailoring the method to least squares functions led to significant improvements in the performance of the algorithm. These approaches can be very efficient for both explicit and implit [sic] models (i.e., problems with small and large degrees of freedom, respectively). In the latter case, degrees of freedom are proportional to a potentially large number of data sets. Applications of this case include errors-in- all-variables estimation, data reconciliation and identification of process parameters. To deal with this structure, we apply a decomposition approach that performs a quadratic programming factorization for each data set. Because these are small components of large problems, an efficient and reliable algorithm results. These methods have generally been implemented on standard von Neumann architectures and few studies exist that exploit the parallelism of nonlinear programming algorithms. It is therefore interesting to note that for implicit model parameter estimation and related process applications, this approach can be quite amenable to parallel computation, because the major cost occurs in matrix decompositions for each data set. Here we describe an implementation of this approach on the Alliant FX/8 parallel computer at the Advanced Computing Research Facility at Argonne National Laboratory. Special attention is paid to the architecture of this machine and its effect on the performance of the algorithm. This approach is demonstrated on five small, undetermined regression problems as well as a larger process example that demonstrates simultaneous data reconciliation and parameter estimation."

Download or read book Inverse Problem Theory and Methods for Model Parameter Estimation written by Albert Tarantola and published by SIAM. This book was released on 2005-01-01 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the prediction of observations is a forward problem, the use of actual observations to infer the properties of a model is an inverse problem. Inverse problems are difficult because they may not have a unique solution. The description of uncertainties plays a central role in the theory, which is based on probability theory. This book proposes a general approach that is valid for linear as well as for nonlinear problems. The philosophy is essentially probabilistic and allows the reader to understand the basic difficulties appearing in the resolution of inverse problems. The book attempts to explain how a method of acquisition of information can be applied to actual real-world problems, and many of the arguments are heuristic.

Download or read book Bayesian Parameter Estimation and Inference Across Scales written by Margaret D. Callahan and published by . This book was released on 2015 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the analysis of complex phenomena arising in biology, medicine, physics, economics or the social sciences, it is not uncommon to employ mathematical models at different scales. Microscopic models tend to be better suited to capture the fine-scale details of a complex system and are typically stochastic in nature, while macroscopic models, sometimes arising as mean-field approximations to microscopic models, are typically used to describe the overall, population-level dynamics of the system. Typically, both coarse- and fine-scale models depend on parameters whose values are unknown or poorly known, hence need to be estimated. The estimation of the parameters of larger scale models tends to be more straightforward and approachable with standard optimization-based tools. In several important applications, the microscopic model parameters are of greater interest and importance, as they may be interpreted as characterizing the generative process underlying the large-scale model. Due to the stochastic nature of these types of models, the unknown parameters are difficult, if not impossible, to estimate directly. Ideally, we would like to estimate the parameters of the coarse-scale model and relate them to those of the fine-scale model. This connection, however, may be all but trivial to establish, due to the fact that models at different scales may depend on parameters that do not exhibit a one-to-one correspondence. In this work, we propose a Bayesian approach for inferring on the values of the microscopic model parameters, based on estimates of the parameters of the associated macroscopic model. Our methodology is based on connecting model parameters across scales via the posterior probability density, and the subsequent approximation of this density using random samples. We illustrate the viability of our technique with several computed examples, ranging from simple to fairly complex, with a focus on applications in the life sciences.

Download or read book Large Scale Systems Theory and Applications 1989 written by K. Reinisch and published by Pergamon. This book was released on 1990-06-08 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers present new trends on the development of theory and applications in the field of large scale systems analysis, planning and control. The issues discussed are proving to be of great importance as systems of growing complexity are found in all fields of human activities, often developed by economic, organizational and technological effects. The papers are divided into three main areas of interest; Modelling, Analysis, Basic Controls; Superordinate Controls and Decisions; Applications.

Download or read book European Control Conference 1991 written by and published by European Control Association. This book was released on 1991-07-02 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the European Control Conference 1991, July 2-5, 1991, Grenoble, France

Download or read book Large Scale Systems written by F. G. Filip and published by Pergamon. This book was released on 2002 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the 9th IFAC Symposium on Large Scale Systems: Theory and Applications (LSS 2001), held in Bucharest, Romania, 18-20 July 2001. Its aim was to address the control aspects of those industrial, economic, social and environmental systems whose characteristics are high dimensionality, non-linearity and uncertainty, associated with a multitude of structural forms, with intense and time critical information exchange and efficient co-ordination. The symposium covered all major aspects of large scale, complex systems including methodological aspects, technological solutions and practical applications. methodological aspects and those devoted to practical applications. Several invited sessions were organised, including papers from leading world experts. The papers are ordered in accordance with the technical sessions. Session topics include methodology and application fields, traditional to this Symposium series. Topics covered include the following: modelling and model reduction; decentralized control and estimation; hierarchical control; intelligent and fuzzy control; nonlinear dynamics in complex systems; complex systems theory and analysis; water, gas, power systems; large scale CIMs and production planning and scheduling; communication and information systems; transportation systems; modelling and control of wastewater treatment plants and societal systems modelling, planning and management. technical programme, such as decision support systems and risk and governance in large-scale systems. More recent issues, such as risk management and human decision in large-scale systems, were well received by the symposium participants and provide an extra dimension to volume.

Download or read book Recent Awards in Engineering written by and published by . This book was released on 1983 with total page 986 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Distillation and Absorption 2006 written by Eva Sørensen and published by IChemE. This book was released on 2006 with total page 1066 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work contains the proceedings of the Distillation and Absorption conference, which happens every 5 years. This collection of 100 contributions spanning 23 countries showcase the newest and best distillation and absorption technologies which cover a broad range of fundamental and applied aspects of the technology. To address these aspects, the contributions have been put into seven themes: modelling and simulation (steady-state, dynamic and CFD); energy efficiency and sustainability; equipment design and operation; integrated, hybrid and novel processes; process troubleshooting and handling operational problems; control and operation; and basic data.

Download or read book 13th International Symposium on Process Systems Engineering PSE 2018 July 1 5 2018 written by Mario R. Eden and published by Elsevier. This book was released on 2018-07-19 with total page 2620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Process Systems Engineering brings together the international community of researchers and engineers interested in computing-based methods in process engineering. This conference highlights the contributions of the PSE community towards the sustainability of modern society and is based on the 13th International Symposium on Process Systems Engineering PSE 2018 event held San Diego, CA, July 1-5 2018. The book contains contributions from academia and industry, establishing the core products of PSE, defining the new and changing scope of our results, and future challenges. Plenary and keynote lectures discuss real-world challenges (globalization, energy, environment and health) and contribute to discussions on the widening scope of PSE versus the consolidation of the core topics of PSE. - Highlights how the Process Systems Engineering community contributes to the sustainability of modern society - Establishes the core products of Process Systems Engineering - Defines the future challenges of Process Systems Engineering

Download or read book Large Scale PDE Constrained Optimization written by Lorenz T. Biegler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary optimization methods. With the maturing of technology for PDE simulation, interest has now increased in PDE-based optimization. The chapters in this volume collectively assess the state of the art in PDE-constrained optimization, identify challenges to optimization presented by modern highly parallel PDE simulation codes, and discuss promising algorithmic and software approaches for addressing them. These contributions represent current research of two strong scientific computing communities, in optimization and PDE simulation. This volume merges perspectives in these two different areas and identifies interesting open questions for further research.

Download or read book Large Scale Inverse Problems and Quantification of Uncertainty written by Lorenz Biegler and published by John Wiley & Sons. This book was released on 2011-06-24 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications. The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other sensitivity analysis methods. Key Features: Brings together the perspectives of researchers in areas of inverse problems and data assimilation. Assesses the current state-of-the-art and identify needs and opportunities for future research. Focuses on the computational methods used to analyze and simulate inverse problems. Written by leading experts of inverse problems and uncertainty quantification. Graduate students and researchers working in statistics, mathematics and engineering will benefit from this book.

Download or read book Proceedings of the Ninth Power Systems Computation Conference written by Cascais Portugal and published by Elsevier. This book was released on 2016-06-06 with total page 1005 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the Ninth Power Systems Computation Conference