Recursive Nonlinear Estimation by Rudolph Kulhavy
In a close analogy to matching data in Euclidean space, this monograph views parameter estimation as matching of the empirical distribution of data with a model-based distribution. Using an appealing Pythagorean-like geometry of the empirical and model distributions, the book brings a new solution to the problem of recursive estimation of non-Gaussian and nonlinear models which can be regarded as a specific approximation of Bayesian estimation. The cases of independent observations and controlled dynamic systems are considered in parallel; the former case giving initial insight into the latter case which is of primary interest to the control community. A number of examples illustrate the key concepts and tools used. This unique monograph follows some previous results on the Pythagorean theory of estimation in the literature (e.g., Chentsov, Csiszar and Amari) but extends the results to the case of controlled dynamic systems.-
Statistical Physics I
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Hybrid Integrator-Gain Systems
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Matrix-Weighted Graphs
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Distributed Coordination Theory for Robot Teams
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
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Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems
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Advances in H∞ Control Theory
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Security and Resilience of Control Systems
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Data-Driven, Nonparametric, Adaptive Control Theory
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Identification for Automotive Systems
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Networked Embedded Sensing and Control
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Optimization and Optimal Control in Automotive Systems
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Optimization Based Clearance of Flight Control Laws
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Fault Detection and Flight Data Measurement
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Analysis and Synthesis of Networked Control Systems
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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems
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Automotive Model Predictive Control
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Robust Control and Linear Parameter Varying Approaches
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Modeling and Identification of Linear Parameter-Varying Systems
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Complexity, Analysis and Control of Singular Biological Systems
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Frequency Domain Criteria for Absolute Stability
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Search and Classification Using Multiple Autonomous Vehicles
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Advances in the Theory of Control, Signals and Systems with Physical Modeling
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Perspectives in Mathematical System Theory, Control, and Signal Processing
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Robot Motion and Control 2011
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Saturated Switching Systems
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Finite-Time Stability and Control
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Robustness in Identification and Control
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Realization Probabilities
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Advances in Filtering and Optimal Stochastic Control
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Robust Stability and Convexity
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Interactive Multi-Objective Programming as a Framework for Computer-Aided Control System Design
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Variational and Hamiltonian Control Systems
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Robot Motion Planning and Control
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Learning Automata and Stochastic Optimization
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Intelligent Control and Automation
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Realization Theory of Continuous-Time Dynamical Systems
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Modeling, Estimation, and Their Applications for Distributed Parameter Systems
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Optimal Feedback Control
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An Expert Systems Approach to Computer-Aided Design of Multivariable Systems
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Distributed Decision Making and Control
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Stochastic Models for Laser Propagation in Atmospheric Turbulence
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New Directions in Nonlinear Observer Design
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Safe Adaptive Control
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Detection of Abrupt Changes in Signals and Dynamical Systems
| SKU | Unavailable |
| ISBN 13 | 9783540760634 |
| ISBN 10 | 3540760636 |
| Title | Recursive Nonlinear Estimation |
| Author | Rudolph Kulhavy |
| Series | Lecture Notes In Control And Information Sciences |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 1996-06-25 |
| Number of pages | 227 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |