Nonlinear filtering : methods and applications /: methods and applications. (2018)

• Record Type: Book
• Further Information: Note: Kumar Pakki Bharani Chandra, Da-Wei Gu.
• Authors: Chan, Kumar Pakki Bharani; Gu, Da-Wei
• Contents: Intro; Preface; Contents; List of Figures; List of Tables; List of Algorithms; 1 Control Systems and State Estimation; 1.1 Introductory Remarks; 1.2 Linear and Nonlinear Control Systems; 1.3 Control System Design and System States; 1.4 Kalman Filter and Further Developments; 1.5 What is in This Book; References; 2 State Observation and Estimation; 2.1 Introductory Remarks; 2.2 Mathematical Preliminary; 2.3 Desired Properties of State Estimators; 2.4 Least Square Estimator and Luenberger State Observer; 2.5 Luenberger State Observer for a DC Motor; 2.6 Summary; References 3 Kalman Filter and Linear State Estimations3.1 Introductory Remarks; 3.2 The Discrete-Time Kalman Filter; 3.2.1 Process and Measurement Models; 3.2.2 Derivation of the Kalman Filter; 3.3 Kalman Information Filter; 3.4 Discrete-Time calHinfty Filter; 3.5 State Estimation and Control of a Quadruple-Tank System; 3.5.1 Quadruple-Tank System; 3.5.2 Sliding Mode Control of the Quadruple-Tank System; 3.5.3 Combined Schemes: Simulations and Results; 3.6 Summary; References; 4 Jacobian-Based Nonlinear State Estimation; 4.1 Introductory Remarks; 4.2 Extended Kalman Filter 4.3 Extended Information Filter4.4 Extended calHinfty Filter; 4.5 A DC Motor Case Study; 4.6 Nonlinear Transformation and the Effects of Linearisation; 4.7 Summary; References; 5 Cubature Kalman Filter; 5.1 Introductory Remarks; 5.2 CKF Theory; 5.2.1 Prediction; 5.2.2 Measurement Update; 5.2.3 Cubature Rules; 5.3 Cubature Transformation; 5.3.1 Polar to Cartesian Coordinate Transformation-Cubature Transformation; 5.4 Study on a Brushless DC Motor; 5.4.1 BLDC Motor Dynamics; 5.4.2 Back EMFs and PID Controller; 5.4.3 Initialisation of the State Estimators; 5.4.4 BLDC Motor Experiments 5.5 SummaryReferences; 6 Variants of Cubature Kalman Filter; 6.1 Introductory Remarks; 6.2 Cubature Information Filters; 6.2.1 Information Filters; 6.2.2 Extended Information Filter; 6.2.3 Cubature Information Filter; 6.2.4 CIF in Multi-sensor State Estimation; 6.3 Cubature calHinfty Filters; 6.3.1 calHinfty Filters; 6.3.2 Extended calHinfty Information Filter; 6.3.3 Cubature calHinfty Filter; 6.3.4 Cubature calHinfty Information Filter; 6.4 Square-Root Version Filters; 6.4.1 Square-Root Extended Kalman Filter; 6.4.2 Square-Root Extended Information Filter 6.4.3 Square-Root Extended calHinfty Filter6.4.4 Square-Root Cubature Kalman Filter; 6.4.5 Square-Root Cubature Information Filter; 6.4.6 Square-Root Cubature calHinfty Filter; 6.4.7 Square-Root Cubature calHinfty Information Filter; 6.5 State Estimation of a Permanent Magnet Synchronous Motor; 6.5.1 PMSM Model; 6.5.2 State Estimation Using SREIF and SRCIF; 6.5.3 State Estimation Using SRCKF and SRCcalHinftyF; 6.5.4 State Estimation with Multi-sensors Using SREIF, SRCIF and SRCcalHinftyIF; 6.6 State Estimation of a Continuous Stirred Tank Reactor (CSTR); 6.6.1 The Model
• Publisher Details: Cham : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 519.2/3; Stochastic processes; Filters (Mathematics); MATHEMATICS / Applied; MATHEMATICS / Probability & Statistics / General; Filters (Mathematics); Stochastic processes; Electronic books
• Languages: English
• ISBNs: 9783030017972; 3030017974
• Related ISBNs: 9783030017965; 3030017966
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (EBSCO, viewed November 27, 2018)
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.