Optimal Measurement Methods for Distributed Parameter System Identification, Ucinski, Dariusz
Автор: A. Ruberti Название: Distributed Parameter Systems: Modelling and Identification ISBN: 3540084053 ISBN-13(EAN): 9783540084051 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reports the Linear Parameter Varying (LPV) system identification. This book contains twelve chapters, focusing on the LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, and more.
Описание: Prompted by recent developments in inverse theory, this book is a completely rewritten version of a 1987 book by the same author. In this version there are many algorithmic details for Monte Carlo methods, least-squares discrete problems, and least-squares problems involving functions.
Автор: John E. Lagnese; David L. Russell; Luther W. White Название: Control and Optimal Design of Distributed Parameter Systems ISBN: 1461384621 ISBN-13(EAN): 9781461384625 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The articles in this volume focus on control theory of systems governed by nonlinear linear partial differential equations, identification and optimal design of such systems, and modelling of advanced materials.
Автор: Dan Tiba Название: Optimal Control of Nonsmooth Distributed Parameter Systems ISBN: 3540535241 ISBN-13(EAN): 9783540535249 Издательство: Springer Рейтинг: Цена: 3487.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is devoted to the study of distributed control problems governed by various nonsmooth state systems. The main questions investigated include: existence of optimal pairs, first order optimality conditions, state-constrained systems, approximation and discretization, bang-bang and regularity properties for optimal control.
Описание: This text contains articles grouped according to the broad headings of hydrology, non-linear diffusion and soil physics, geophysical methods, mathematical analysis of inverse and ill-posed problems and parallel algorithms for inverse problems.
Автор: Cuevas Erik, Galvez Jorge, Avalos Omar Название: Recent Metaheuristics Algorithms for Parameter Identification ISBN: 3030289168 ISBN-13(EAN): 9783030289164 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems.
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