Bayesian Inference of State Space Models: Kalman Filtering and Beyond, Triantafyllopoulos Kostas
Автор: Zarchan, Paul Название: Fundamentals of Kalman Filtering ISBN: 1563476940 ISBN-13(EAN): 9781563476945 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 71280.00 T Наличие на складе: Нет в наличии.
Автор: Tine Lefebvre; Herman Bruyninckx; Joris de Schutte Название: Nonlinear Kalman Filtering for Force-Controlled Robot Tasks ISBN: 3642066291 ISBN-13(EAN): 9783642066290 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: "Nonlinear Kalman Filtering for Force-Controlled Robot Tasks " discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization for improved estimation accuracy.
Автор: Van Trees Название: Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking ISBN: 0470120959 ISBN-13(EAN): 9780470120958 Издательство: Wiley Рейтинг: Цена: 162690.00 T Наличие на складе: Невозможна поставка. Описание: Bayesian Bounds provides a collection of the important papers dealing with the theory and application of Bayesian bounds. The book will be useful to both engineers and statisticians whether they are practicioners or theorists. The organization of the book and selection criteria is covered in the preface. Each part is introduced with the contributions of each selected paper and their interrelationship. Part 1contains a short history of Reverend Thomas Bayes and his classic paper that established the field. Part 2 contains the original derivation of the Bayesian Cramer-Rao bound and a simple derivation of the multiple parameter Bayesian CRB. Part 3 discusses global Bayesian bounds to provide broad coverage of this important area. Part 4 considers the case in which some of the parameters are deterministic and some are random. Hybrid Bayesian bounds are derived, as they are particularly important in the study of model mismatch problems. Part 5 considers generalized Cramer-Rao bounds. Part 6 discusses nonlinear stochastic dynamic systems. This type of system is a major component of most radar, sonar, and navigation systems. They are also encountered in nonlinear filtering problems. Applications of various Bayesian bounds to static parameter estimation problems are covered in Part 7 and to dynamic systems in Part 8. The book concludes with papers from the statistics literature that focus on Bayesian bounds in various models in Part 9.
Автор: Ma Hongbin, Yan Liping, Xia Yuanqing Название: Kalman Filtering and Information Fusion ISBN: 9811508089 ISBN-13(EAN): 9789811508080 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Preface.- Part I Kalman Filtering: Preliminaries.- Part II Kalman Filtering for Uncertain Systems.- Part III Kalman Filtering for Multi-Sensor Systems.- Part IV Kalman Filtering for Multi-Agent Systems.
Автор: T. Kailath Название: Lectures on Wiener and Kalman Filtering ISBN: 321181664X ISBN-13(EAN): 9783211816646 Издательство: Springer Рейтинг: Цена: 87070.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Hongbin Ma; Liping Yan; Yuanqing Xia; Mengyin Fu Название: Kalman Filtering and Information Fusion ISBN: 9811508054 ISBN-13(EAN): 9789811508059 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based on adaptive estimation. Further, it discusses in detail the issues that arise when Kalman filtering technology is applied in multi-sensor systems and/or multi-agent systems, especially when various sensors are used in systems like intelligent robots, autonomous cars, smart homes, smart buildings, etc., requiring multi-sensor information fusion techniques. Furthermore, when multiple agents (subsystems) interact with one another, it produces coupling uncertainties, a challenging issue that is addressed here with the aid of novel decentralized adaptive filtering techniques.
Overall, the book’s goal is to provide readers with a comprehensive investigation into the challenging problem of making Kalman filtering work well in the presence of various uncertainties and/or for multiple sensors/components. State-of-art techniques are introduced, together with a wealth of novel findings. As such, it can be a good reference book for researchers whose work involves filtering and applications; yet it can also serve as a postgraduate textbook for students in mathematics, engineering, automation, and related fields.
To read this book, only a basic grasp of linear algebra and probability theory is needed, though experience with least squares, navigation, robotics, etc. would definitely be a plus.
Автор: Xiuming Yao; Ligang Wu; Wei Xing Zheng Название: Filtering and Control of Stochastic Jump Hybrid Systems ISBN: 3319319140 ISBN-13(EAN): 9783319319148 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian jump linear-parameter-varying (LPV) systems, Markovian jump singular systems, Markovian jump two-dimensional (2-D) systems, and Markovian jump repeated scalar nonlinear systems.
Автор: Huijun Gao; Xianwei Li Название: Robust Filtering for Uncertain Systems ISBN: 3319059025 ISBN-13(EAN): 9783319059020 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dong Shanling, Wu Zheng-Guang, Shi Peng Название: Control and Filtering of Fuzzy Systems with Switched Parameters ISBN: 3030355683 ISBN-13(EAN): 9783030355685 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- Reliable Control of Fuzzy Systems with Quantization and Switched Actuator Failures.- Fuzzy-Model-Based Non-Fragile GCC of Fuzzy MJSs.- Quantized Control of Fuzzy Hidden MJSs.- Asynchronous Control of Fuzzy MJSs Subject to Strict Dissipativity.- Extended Dissipativity-Based Control for Fuzzy Switched Systems with Intermittent Measurements.- Dissipativity-Based Asynchronous Fuzzy Sliding Mode Control for Fuzzy MJSs.- Filtering for Discrete-Time Switched Fuzzy Systems with Quantization.- Reliable Filter Design of Fuzzy Switched Systems with Imprecise Modes.- Reliable Filtering of Nonlinear Markovian Jump Systems: the Continuous-Time Case.- HMM-Based Asynchronous Filter Design of Continuous-Time Fuzzy MJSs.- Networked Fault Detection for Fuzzy MJSs.- Index.
Автор: Xiao-Heng Chang Название: Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems ISBN: 3662525496 ISBN-13(EAN): 9783662525494 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique.
Автор: Peter A. Ruymgaart; Tsu T. Soong Название: Mathematics of Kalman-Bucy Filtering ISBN: 3540187812 ISBN-13(EAN): 9783540187813 Издательство: Springer Рейтинг: Цена: 74490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Starting with applications in aerospace engineering, their impact has been felt not only in all areas of engineering but as all also in the social sciences, biological sciences, medical sciences, as well other physical sciences.
Автор: Fanbiao Li; Peng Shi; Ligang Wu Название: Control and Filtering for Semi-Markovian Jump Systems ISBN: 3319471988 ISBN-13(EAN): 9783319471983 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as piecewise analysis method, positively invariant set approach, event-triggered method, and cone complementary linearization approaches are presented. Control and Filtering for Semi-Markovian Jump Systems is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
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