Автор: Gengsheng Wang; Lijuan Wang; Yashan Xu; Yubiao Zha Название: Time Optimal Control of Evolution Equations ISBN: 3030070212 ISBN-13(EAN): 9783030070212 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Поставка под заказ.
Описание:
This monograph develops a framework for time-optimal control problems, focusing on minimal and maximal time-optimal controls for linear-controlled evolution equations. Its use in optimal control provides a welcome update to Fattorini’s work on time-optimal and norm-optimal control problems. By discussing the best way of representing various control problems and equivalence among them, this systematic study gives readers the tools they need to solve practical problems in control. After introducing preliminaries in functional analysis, evolution equations, and controllability and observability estimates, the authors present their time-optimal control framework, which consists of four elements: a controlled system, a control constraint set, a starting set, and an ending set. From there, they use their framework to address areas of recent development in time-optimal control, including the existence of admissible controls and optimal controls, Pontryagin’s maximum principle for optimal controls, the equivalence of different optimal control problems, and bang-bang properties.This monograph will appeal to researchers and graduate students in time-optimal control theory, as well as related areas of controllability and dynamic programming. For ease of reference, the text itself is self-contained on the topic of time-optimal control. Frequent examples throughout clarify the applications of theorems and definitions, although experience with functional analysis and differential equations will be useful.
Описание: This book, based on a selection of talks given at a dedicated meeting in Cortona, Italy, in June 2013, shows the high degree of interaction between a number of fields related to applied sciences.
Описание: This book, based on a selection of talks given at a dedicated meeting in Cortona, Italy, in June 2013, shows the high degree of interaction between a number of fields related to applied sciences.
Описание: This book aims to provide a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics.
Автор: Leonid Shaikhet Название: Optimal Control of Stochastic Difference Volterra Equations ISBN: 3319132385 ISBN-13(EAN): 9783319132389 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Leonid Shaikhet Название: Optimal Control of Stochastic Difference Volterra Equations ISBN: 3319386069 ISBN-13(EAN): 9783319386065 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Stochastic Difference Volterra Equations.- Optimal Control.- Successive Approximations to the Optimal Control.- Optimal and Quasioptimal Stabilization.- Optimal Estimation.- Optimal Control of Stochastic Difference Volterra Equations by Incomplete Information.- References.- Index.
Автор: Karl-Heinz Hoffmann; Werner Krabs Название: Optimal Control of Partial Differential Equations ISBN: 3540535918 ISBN-13(EAN): 9783540535911 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The purpose of the Conference on Optimal Control of Partial Differential Equations was to bring together leading experts in this field and to exchange ideas and information about recent advances in control theory connected with partial differential equations.
Автор: Karl-Heinz Hoffmann; G?nter Leugering; Fredi Tr?lt Название: Optimal Control of Partial Differential Equations ISBN: 3034897316 ISBN-13(EAN): 9783034897310 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The application of PDE-based control theory and the corresponding numerical algorithms to industrial problems have become increasingly important in recent years. This volume offers a wide spectrum of aspects of the discipline, and is of interest to mathematicians and scientists working in the field.
Автор: Benchohra, Mouffak Abbas, Said Название: Advanced functional evolution equations and inclusions ISBN: 3319177672 ISBN-13(EAN): 9783319177670 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Advanced Functional Evolution Equations and Inclusions
Автор: R. Conte; N. Boccara Название: Partially Integrable Evolution Equations in Physics ISBN: 9401067546 ISBN-13(EAN): 9789401067546 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Study Institute on Partially Integrable Nonlinear Evolution Equations and Their Physical Applications, Les Houches, France, March 21-30, 1989
Описание: The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory.
Автор: Magdalene Marinaki; Markos Papageorgiou Название: Optimal Real-time Control of Sewer Networks ISBN: 1447156730 ISBN-13(EAN): 9781447156734 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Recent years have seen a very marked increase in the desire to protect the environment from any and all malign influences. The maintenance or restoration of water quality is a vital part of that protection. A sine qua non of control system development for modern sewer networks is therefore the preservation of the water system around a network's outflow(s). Several approaches have been proposed for the optimisation of sewage control and Optimal Real-time Control of Sewer Networks provides a comparative synthesis of a central sewer network flow control based on two of these: nonlinear-optimal and multivariable-feedback control.
In nonlinear optimal control, control and operational objectives are treated directly by the formulation of a nonlinear cost function minimized according to system constraints and the relevant state equation. The comparison presented uses the rolling horizon method for the real-time application of the optimal control algorithm with updated inflow predictions and updated initial conditions.
On the other hand, the linear multivariable feedback regulator - considered with and without feedforward terms to account for external inflows - is developed via a systematic linear-quadratic procedure including precise specifications on model structure, equations and the choice of nominal steady state and quadratic criterion.
The comprehensive testing and comparison of these protocols is undertaken on the basis of their respective control results for the real large-scale sewer network located around the river Obere Iller in Bavaria. The control strategies now implemented within this network are based on this study.
Starting at the selection of possible methods of control and moving to the actual implementation of those methods in a real sewer system, Optimal Real-time Control of Sewer Networks will be invaluable to control and civil engineers working in sewage flow and wastewater treatment and of great interest to academics wishing to see how their ideas on optimal control are likely to work out when practically applied.
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