Identification of Continuous-time Models from Sampled Data, Hugues Garnier; Liuping Wang
Автор: Ichikawa Akira, Katayama Hitoshi Название: Linear Time Varying Systems and Sampled-data Systems ISBN: 1852334398 ISBN-13(EAN): 9781852334390 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives an introduction to H-infinity and H2 control for linear time-varying systems. Chapter 2 is concerned with continuous-time systems while Chapter 3 is devoted to discrete-time systems.The main aim of this book is to develop the H-infinity and H2 theory for jump systems and to apply it to sampled-data systems. The jump system gives a natural state space representation of sampled-data systems, and original signals and parameters are maintained in the new system. Two earlier chapters serve as preliminaries. Chapter 4 introduces jump systems and develops the H-infinity and H2 theory for them. It is then applied to sampled-data systems in Chapter 5.The new features of this book are as follows: The H-infinity control theory is developed for time-varying systems with initial uncertainty. Recent results on the relation of three Riccati equations are included. The H2 theory usually given for time-invariant systems is extended to time-varying systems. The H-infinity and H2 theory for sampled-data systems is established from the jump system point of view. Extension of the theory to infinite dimensional systems and nonlinear systems is discussed. This covers the sampled-data system with first-order hold. In this book 16 examples and 40 figures of computer simulations are included.The reader can find the H-infinity and H2 theory for linear time-varying systems and sampled-data systems developed in a unified manner. Some arguments inherent to time varying systems or the jump system point of view to sampled-data systems may give new insights into the system theory of time-invariant systems and sampled-data systems.
Автор: Tongwen Chen; Bruce A. Francis Название: Optimal Sampled-Data Control Systems ISBN: 1447130391 ISBN-13(EAN): 9781447130390 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller.
Автор: Juan I. Yuz; Graham C. Goodwin Название: Sampled-Data Models for Linear and Nonlinear Systems ISBN: 1447169972 ISBN-13(EAN): 9781447169970 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, rather than emphasize differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates as high as they are, it is more appropriate to emphasise connections and similarities.
Автор: Juan I. Yuz; Graham C. Goodwin Название: Sampled-Data Models for Linear and Nonlinear Systems ISBN: 1447155610 ISBN-13(EAN): 9781447155614 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, rather than emphasize differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates as high as they are, it is more appropriate to emphasise connections and similarities.
Автор: J?rgen Ackermann Название: Sampled-Data Control Systems ISBN: 3642825567 ISBN-13(EAN): 9783642825569 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 4 treats controllability and reach- ability of discrete-time systems, controllability regions for con- strained inputs and the choice of the sampling interval primarily under controllability aspects.
Автор: N.K. Sinha; G.P. Rao Название: Identification of Continuous-Time Systems ISBN: 0792313364 ISBN-13(EAN): 9780792313366 Издательство: Springer Рейтинг: Цена: 43100.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Heiko Hamann Название: Space-Time Continuous Models of Swarm Robotic Systems ISBN: 3642133762 ISBN-13(EAN): 9783642133763 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Space-Time Continuous Models of Swarm Robotic Systems presents a control-algorithm-based model that predicts the behavior of large self-organizing robot groups, or robot swarms. Readers will find an extensive look into the interdisciplinary research field of swarm robotics.
Автор: F.J.III Doyle; R.K. Pearson; B.A. Ogunnaike Название: Identification and Control Using Volterra Models ISBN: 1447110633 ISBN-13(EAN): 9781447110637 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Much has been written about the general difficulty of developing the models required for model-based control of processes whose dynamics exhibit signif- icant nonlinearity (for further discussion and references, see Chapter 1). In fact, the development ofthese models stands as a significant practical imped- iment to widespread industrial application oftechniques like nonlinear model predictive control (NMPC), whoselinear counterpart has profoundly changed industrial practice. One ofthe reasons for this difficulty lies in the enormous variety of "nonlinear models," different classes of which can be less similar to each other than they are to the class of linear models. Consequently, it is a practical necessity to restrict consideration to one or a few specific nonlinear model classes if we are to succeed in developing, understanding, and using nonlinear models as a basis for practical control schemes. Because they repre- sent a highly structured extension ofthe class oflinear finite impulse response (FIR) models on which industrially popular linear MPC implementations are based, this book is devoted to the class of discrete-time Volterra models and a fewother, closelyrelated, nonlinear model classes. The objective ofthis book is to provide a useful reference for researchers in the field of process control and closely related areas, collecting a reasonably wide variety of results that may be found in different parts of the large literature that exists on the gen- eral topics of process control, nonlinear systems theory, statistical time-series models, biomedical engineering, and digital signal processing, among others.
Автор: Heiko Hamann Название: Space-Time Continuous Models of Swarm Robotic Systems ISBN: 3642263607 ISBN-13(EAN): 9783642263606 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Space-Time Continuous Models of Swarm Robotic Systems presents a control-algorithm-based model that predicts the behavior of large self-organizing robot groups, or robot swarms. Readers will find an extensive look into the interdisciplinary research field of swarm robotics.
Автор: A. Maravall Название: Identification in Dynamic Shock-Error Models ISBN: 3540091122 ISBN-13(EAN): 9783540091127 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It became apparent that identification of error-in-variables models was less of a problem when some dynamic features were present, and that the cathegory of "pre- determined variables" was meaningless, since lagged endogenous and truly exogenous variables had very different identification properties.
Автор: Abonyi JГЎnos, Feil BalГЎzs Название: Cluster Analysis for Data Mining and System Identification ISBN: 3764379871 ISBN-13(EAN): 9783764379872 Издательство: Springer Рейтинг: Цена: 13969.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents new approaches to data mining and system identification. Algorithmsthat can be used for the clustering of data have been overviewed. New techniques andtools are presented for the clustering, classification, regression and visualization ofcomplex datasets. Special attention is given to the analysis of historical process data,tailored algorithms are presented for the data driven modeling of dynamical systems,determining the model order of nonlinear input-output black box models, and thesegmentation of multivariate time-series. The main methods and techniques areillustrated through several simulated and real-world applications from data mining andprocess engineering practice.The books is aimed primarily at practitioners, researches, and professionals in statistics,data mining, business intelligence, and systems engineering, but it is also accessible tograduate and undergraduate students in applied mathematics, computer science, electricaland process engineering. Familiarity with the basics of system identification and fuzzysystems is helpful but not required.
Описание: Non-Sinusoidal Orthogonal Functions in Systems and Control.- Hybrid Function (HF) and Its Properties.- Function Approximation via Hybrid Functions.- Integration and Differentiation Using HF Domain Operational Matrices.- One-Shot Operational Matrices for Integration.- Solution of Linear Differential Equations.- Convolution of Time Functions.- Time Invariant System Analysis: State Space Approach.- Time Varying System Analysis: State Space Approach.- Multi-Delay System Analysis: State Space Approach.- Time Invariant System Analysis: Method of Convolution.- System Identification using State Space Approach: Time Invariant Systems.- System Identification using State Space Approach: Time Varying Systems.- Time Invariant System Identification: via 'Deconvolution'.- System Identification: Parameter Estimation of Transfer Function.
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