Analysis and Design of Markov Jump Systems with Complex Transition Probabilities, Lixian Zhang; Ting Yang; Peng Shi; Yanzheng Zhu
Автор: L. C. G. Rogers Название: Diffusions, Markov Processes and Martingales ISBN: 0521775930 ISBN-13(EAN): 9780521775939 Издательство: Cambridge Academ Рейтинг: Цена: 11563.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This celebrated volume gives an accessible introduction to stochastic integrals, stochastic differential equations, excursion theory and the general theory of processes. Together with its companion, it helps equip graduate students for research into a subject of great intrinsic interest and wide application.
Автор: Mishura, Yuliya Название: Ruin Probabilities ISBN: 1785482181 ISBN-13(EAN): 9781785482182 Издательство: Elsevier Science Рейтинг: Цена: 20380.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Ruin Probabilities: Smoothness, Bounds, Supermartingale Approach deals with continuous-time risk models and covers several aspects of risk theory. The first of them is the smoothness of the survival probabilities. In particular, the book provides a detailed investigation of the continuity and differentiability of the infinite-horizon and finite-horizon survival probabilities for different risk models. Next, it gives some possible applications of the results concerning the smoothness of the survival probabilities. Additionally, the book introduces the supermartingale approach, which generalizes the martingale one introduced by Gerber, to get upper exponential bounds for the infinite-horizon ruin probabilities in some generalizations of the classical risk model with risky investments.
Автор: Guoliang Wang; Qingling Zhang; Xinggang Yan Название: Analysis and Design of Singular Markovian Jump Systems ISBN: 3319087223 ISBN-13(EAN): 9783319087221 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This monograph is an up-to-date presentation of the analysis and design of singular Markovian jump systems (SMJSs) in which the transition rate matrix of the underlying systems is generally uncertain, partially unknown and designed. The problems addressed include stability, stabilization, H∞ control and filtering, observer design, and adaptive control. applications of Markov process are investigated by using Lyapunov theory, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat's Lemma, among other techniques.
Features of the book include:
- study of the stability problem for SMJSs with general transition rate matrices (TRMs);
- stabilization for SMJSs by TRM design, noise control, proportional-derivative and partially mode-dependent control, in terms of LMIs with and without equation constraints;
- mode-dependent and mode-independent H∞ control solutions with development of a type of disordered controller;
- observer-based controllers of SMJSs in which both the designed observer and controller are either mode-dependent or mode-independent;
- consideration of robust H∞ filtering in terms of uncertain TRM or filter parameters leading to a method for totally mode-independent filtering
- development of LMI-based conditions for a class of adaptive state feedback controllers with almost-certainly-bounded estimated error and almost-certainly-asymptotically-stable corres
ponding closed-loop system states
- applications of Markov process on singular systems with norm bounded uncertainties and time-varying delays
Analysis and Design of Singular Markovian Jump Systems contains valuable reference material for academic researchers wishing to explore the area. The contents are also suitable for a one-semester graduate course.
Описание: This book systematically studies the stochastic non-cooperative differential game theory of generalized linear Markov jump systems and its application in the field of finance and insurance. The book is an in-depth research book of the continuous time and discrete time linear quadratic stochastic differential game, in order to establish a relatively complete framework of dynamic non-cooperative differential game theory. It uses the method of dynamic programming principle and Riccati equation, and derives it into all kinds of existence conditions and calculating method of the equilibrium strategies of dynamic non-cooperative differential game. Based on the game theory method, this book studies the corresponding robust control problem, especially the existence condition and design method of the optimal robust control strategy. The book discusses the theoretical results and its applications in the risk control, option pricing, and the optimal investment problem in the field of finance and insurance, enriching the achievements of differential game research. This book can be used as a reference book for non-cooperative differential game study, for graduate students majored in economic management, science and engineering of institutions of higher learning.
Описание: This brief broadens readers` understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS).
Автор: Richard Boucherie; Nico M van Dijk Название: Markov Decision Processes in Practice ISBN: 3319477641 ISBN-13(EAN): 9783319477640 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach.
Автор: Kai-hui Chang; Igor L. Markov; Valeria Bertacco Название: Functional Design Errors in Digital Circuits ISBN: 9048181127 ISBN-13(EAN): 9789048181124 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text covers innovative methods to automate the debugging process throughout the design flow, enabling the production of more reliable electronic devices. It offers many examples and figures to illustrate key concepts and algorithms.
Автор: Guglielmo d`Amico, Giuseppe di Biase, Jacques Janssen, Raimondo Manca Название: Semi-Markov Migration Models for Credit Risk ISBN: 1848219059 ISBN-13(EAN): 9781848219052 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Credit risk is one of the most important contemporary problems for banks and insurance companies. Indeed, for banks, more than forty percent of the equities are necessary to cover this risk.
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