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State Estimation In Continuous Nonlinear Systems With Discrete Observations
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Book Synopsis State Estimation in Continuous Nonlinear Systems with Discrete Observations by : Glenn Marshall Sparks
Download or read book State Estimation in Continuous Nonlinear Systems with Discrete Observations written by Glenn Marshall Sparks and published by . This book was released on 1970 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimation of States and Parameters in Continuous Non-linear Systems with Discrete Observations by : Connie Jean Weeks
Download or read book Estimation of States and Parameters in Continuous Non-linear Systems with Discrete Observations written by Connie Jean Weeks and published by . This book was released on 1977 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State Estimation for Dynamic Systems by : Felix L. Chernousko
Download or read book State Estimation for Dynamic Systems written by Felix L. Chernousko and published by CRC Press. This book was released on 1993-11-09 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: State Estimation for Dynamic Systems presents the state of the art in this field and discusses a new method of state estimation. The method makes it possible to obtain optimal two-sided ellipsoidal bounds for reachable sets of linear and nonlinear control systems with discrete and continuous time. The practical stability of dynamic systems subjected to disturbances can be analyzed, and two-sided estimates in optimal control and differential games can be obtained. The method described in the book also permits guaranteed state estimation (filtering) for dynamic systems in the presence of external disturbances and observation errors. Numerical algorithms for state estimation and optimal control, as well as a number of applications and examples, are presented. The book will be an excellent reference for researchers and engineers working in applied mathematics, control theory, and system analysis. It will also appeal to pure and applied mathematicians, control engineers, and computer programmers.
Book Synopsis State Estimation for Nonlinear Continuous–Discrete Stochastic Systems by : Gennady Yu. Kulikov
Download or read book State Estimation for Nonlinear Continuous–Discrete Stochastic Systems written by Gennady Yu. Kulikov and published by Springer Nature. This book was released on with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State Estimation of Nonlinear Continuous-discrete Time Systems by : Hany Ismail El-Zorkany
Download or read book State Estimation of Nonlinear Continuous-discrete Time Systems written by Hany Ismail El-Zorkany and published by 1971 [c1972]. This book was released on 1971 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal State Estimation by : Dan Simon
Download or read book Optimal State Estimation written by Dan Simon and published by John Wiley & Sons. This book was released on 2006-06-19 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation * Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice * MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.
Book Synopsis State Estimation for Nonlinear Systems Via Quasilinearization by : Wai Keung Chan
Download or read book State Estimation for Nonlinear Systems Via Quasilinearization written by Wai Keung Chan and published by . This book was released on 1976 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State Estimation of Nonlinear Continuous-discrete Time Systems by : Hany Ismail El-Zorkany
Download or read book State Estimation of Nonlinear Continuous-discrete Time Systems written by Hany Ismail El-Zorkany and published by . This book was released on 1971 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State Estimation and Stabilization of Nonlinear Systems by : Abdellatif Ben Makhlouf
Download or read book State Estimation and Stabilization of Nonlinear Systems written by Abdellatif Ben Makhlouf and published by Springer Nature. This book was released on 2023-11-06 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal for the stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).
Book Synopsis State Estimation of Nonlinear Discrete Time Systems by : N. Ramani
Download or read book State Estimation of Nonlinear Discrete Time Systems written by N. Ramani and published by . This book was released on 1972 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Finite Dimensional Nonlinear Estimation in Continuous and Discrete Time by : Steven I. Marcus
Download or read book Finite Dimensional Nonlinear Estimation in Continuous and Discrete Time written by Steven I. Marcus and published by . This book was released on 1978 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has been shown that, for certain classes of nonlinear stochastic systems in both continuous and discrete time, the optimal conditional mean estimator of the system state given the past observations can be computed with a recursive filter of fixed finite dimension. The typical nonlinear system in these classes consists of a linear system with linear measurements and white Gaussian noise processes, which feeds forward into a nonlinear system described by a certain type of Volterra series expansion or by a bilinear or state-linear system satisfying certain algebraic conditions. The purpose in this paper is to consider estimation problems similar to those presented before, to present simpler proofs that the estimators are indeed finite dimensional, to provide deeper insight into these problems by relating them to the homogeneous chaos of Wiener and to orthogonal polynomial expansions, to explain the similarities and differences between the continuous and discrete time cases, and to prove some extensions of previous results. The existence of polynomials in the innovations in the discrete time recursive estimator, in contrast to the continuous time estimator, is interpreted in terms of the homogeneous chaos.
Book Synopsis State Estimation & Observation of Nonlinear Oscillations by : Thomas Svobodny
Download or read book State Estimation & Observation of Nonlinear Oscillations written by Thomas Svobodny and published by . This book was released on 1987 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Moving Horizon State Estimation of Discrete Time Systems by : Peter Klaus Findeisen
Download or read book Moving Horizon State Estimation of Discrete Time Systems written by Peter Klaus Findeisen and published by . This book was released on 1997 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State Estimation in linear discrete-time systems with continuous uncertain parameters by : Ronald Loy Mitchell
Download or read book State Estimation in linear discrete-time systems with continuous uncertain parameters written by Ronald Loy Mitchell and published by . This book was released on 1971 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dynamic system identification via discrete-time observations by : V. Kaminskas
Download or read book Dynamic system identification via discrete-time observations written by V. Kaminskas and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis State Estimation of Nonlinear Discrete Time Systems [microform] by : N. Ramani
Download or read book State Estimation of Nonlinear Discrete Time Systems [microform] written by N. Ramani and published by National Library of Canada. This book was released on 1972 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deterministic Sampling for Nonlinear Dynamic State Estimation by : Gilitschenski, Igor
Download or read book Deterministic Sampling for Nonlinear Dynamic State Estimation written by Gilitschenski, Igor and published by KIT Scientific Publishing. This book was released on 2016-04-19 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear dynamic state estimation. Nonlinearity is considered in two ways: First, propagation is improved by proposing novel methods for approximating continuous probability distributions by discrete distributions defined on the same continuous domain. Second, nonlinear underlying domains are considered by proposing novel filters that inherently take the underlying geometry of these domains into account.