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1 Introduction. 2 ContinuousTime Quadratic Guaranteed Cost Filtering. 3 DiscreteTime Quadratic Guaranteed Cost Filtering. 4 ContinuousTime SetValued State Estimation and Model Validation. 5 DiscreteTime SetValued State Estimation. 6 Robust State Estimation with Discrete and Continuous Measurements. 7 SetValued State Estimation with Structured Uncertainty. 8 Robust H? Filtering with Structured Uncertainty. 9 Robust Fixed Order H? Filtering. 10 SetValued State Estimation for Nonlinear Uncertain Systems. 11 Robust Filtering Applied to Induction Motor Control. References.
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This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
Q: What is the main focus of 'Robust Kalman Filtering for Signals and Systems with Large Uncertainties'?A: The book primarily focuses on robust Kalman filtering methods, particularly in the context of signals and systems that face large uncertainties. It covers both continuous-time and discrete-time filtering techniques.
Q: Who is the author of this book?A: The author of 'Robust Kalman Filtering for Signals and Systems with Large Uncertainties' is Ian R. Petersen.
Q: What is the publication date of this book?A: This book was published on November 10, 1999.
Q: How many pages does the book contain?A: The book contains a total of 210 pages.
Q: What type of binding does this book have?A: The book is available in hardcover binding.
Q: Is this book in new condition?A: Yes, the book is listed as being in new condition.
Q: What are some key topics covered in the book?A: Key topics include continuous-time quadratic guaranteed cost filtering, discrete-time quadratic guaranteed cost filtering, robust state estimation, and set-valued state estimation.
Q: For whom is this book intended?A: This book is intended for professionals and researchers in the fields of control engineering, signal processing, and systems analysis.
Q: What features does the book offer?A: The book is described as a used book in good condition, providing valuable insights into robust Kalman filtering techniques.
Q: Can this book be useful for practical applications?A: Yes, the book includes applications of robust filtering methods, such as in induction motor control, making it useful for practical engineering scenarios.
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