State estimation in chemometrics : the Kalman filter and beyond / Dr. P. C. Thijssen. by Thijssen, P. C. (Pierre Cornelis)

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State Estimation for Robotics Barfoot, Timothy. by Barfoot, Timothy

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State estimation in chemometrics : the Kalman filter and beyond / Pierre Thijssen, Sillas Hadjiloucas. by Thijssen, P. C. (Pierre Cornelis), Hadjiloucas, Sillas

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Battery State Estimation : Methods and Models. by Wang, Shunli

Table of Contents: “…Intro -- Title -- Copyright -- Contents -- About the editor -- Foreword -- Preface -- List of contributors -- Chapter 1 Introduction -- 1.1 State of the art -- 1.2 Application requirements -- 1.3 Research methodology -- 1.4 Research status and direction -- 1.5 Chapter summary -- Acknowledgment -- Chapter 2 Mechanism and influencing factors of lithium-ion batteries -- 2.1 Introduction -- 2.2 Operating mechanism -- 2.2.1 Brief introduction -- 2.2.2 Battery composition -- 2.2.3 Working principle -- 2.2.4 Cycling lifespan -- 2.3 Battery characteristics -- 2.3.1 State of power -- 2.3.2 Internal resistance -- 2.3.3 Open-circuit voltage -- 2.3.4 Self-discharge current rate -- 2.3.5 Terminal voltage -- 2.3.6 Current heat energy -- 2.3.7 Capacity variation -- 2.3.8 Temperature change -- 2.4 Critical indicators for battery state estimation -- 2.4.1 Description of major parameters -- 2.4.2 Temperature effects -- 2.4.3 Charge__amp__#8211 -- discharge current rate -- 2.4.4 Aging degree -- 2.4.5 Self-discharge rate -- 2.5 Basic state estimation strategies -- 2.5.1 Discharging test -- 2.5.2 Ah integral method -- 2.5.3 Open-circuit voltage method -- 2.5.4 Internal resistance method -- 2.6 Kalman filtering and its extension -- 2.6.1 Kalman filtering -- 2.6.2 Extended Kalman filtering -- 2.6.3 Unscented Kalman filtering -- 2.6.4 Dual Kalman filtering -- 2.6.5 Adaptive extended Kalman filtering -- 2.6.6 Square root-unscented Kalman filtering -- 2.6.7 Cubature Kalman filtering -- 2.7 Intelligent state estimation methods -- 2.7.1 State observer -- 2.7.2 Monte Carlo treatment -- 2.7.3 Bayesian estimation -- 2.7.4 Support vector machine -- 2.7.5 Particle filtering -- 2.7.6 Neural network -- 2.7.7 Deep learning -- 2.8 Algorithm improvement strategies -- 2.8.1 Bayesian importance sampling -- 2.8.2 Coordinate transformation -- 2.8.3 Binary iteration treatment.…”
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Optimal state estimation : Kalman, H [infinity] and nonlinear approaches / Dan Simon. by Simon, Dan, 1960-

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Power system state estimation / Mukhtar Ahmad. by Ahmad, Mukhtar, 1948-

Table of Contents: “…3.2 Properties of Weighted Least Square3.3 Maximum Likelihood Weighted Least Square State Estimation; 3.3.1 Likelihood Function; 3.4 Matrix Formulation and Measurement Measurement Model; 3.4.1 Measurement Model; 3.5 WLS State Estimation Algorithm; 3.5.1 State Estimation by Orthogonal Decomposition; 3.5.2 Equality Constrained State Estimation; 3.6 Decoupled State Estimation Method; 3.6.1 Algorithm Decoupling; 3.6.2 Model Decoupling; 3.7 DC State Estimator; References; 4Network Observability and Pseudomeasurem; 4.1 Network Graphs and Matrices; 4.2 Bus Admittance and Bus Impedance Matrices.…”
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Power distribution system state estimation / edited by Elizete Maria Lourenço, Joao Bosco Augusto London.

Subjects: “…Electric power systems State estimation.…”
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Advances in electric power and energy : static state estimation / edited by Mohamed E. El-Hawary, Dalhousie University.

Table of Contents: “…Giannakis -- Chapter 7: Robust Wide-Area Fault Visibility and Structural Observability in Power Systems with Synchronized Measurement Units -- Mert Korkali -- Chapter 8: A Hybrid Robust Power System State Estimator with Unknown Measurement Noise -- Junbo Zhao; Lamine Mili; and Massimo La Scala -- Chapter 9: Least-Trimmed-Absolute-Value State estimator -- Ibrahim Omar Habiballah, and Yuanhai Xia -- Chapter 10 : Probabilistic State Estimation in Distribution Networks -- Bernd Brinkmann; and Michael Negnevisky -- Chapter 11: Advanced distribution system state estimation in multi-area architectures -- Marco Pau, Paolo Attilio Pegoraro, Ferdinanda Ponci, and Sara Sulis -- Chapter 12: Hierarchical Multi-Area State Estimation -- Ye Guo; Lang Tong; Wenchuan Wu; Hongbin Sun; Boming Zhang -- Chapter 13: Parallel Domain-Decomposition-Based Distributed State Estimation for Large-Scale Power Systems -- Hadis Karimipour; Venkata Dinavahi -- Chapter 14: Dishonest Gauss Newton method based power system state estimation on a GPU -- Md. …”
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Power system state estimation / Mukhtar Ahmad. by Ahmad, Mukhtar, 1948-

Table of Contents: “…3.2 Properties of Weighted Least Square3.3 Maximum Likelihood Weighted Least Square State Estimation; 3.3.1 Likelihood Function; 3.4 Matrix Formulation and Measurement Measurement Model; 3.4.1 Measurement Model; 3.5 WLS State Estimation Algorithm; 3.5.1 State Estimation by Orthogonal Decomposition; 3.5.2 Equality Constrained State Estimation; 3.6 Decoupled State Estimation Method; 3.6.1 Algorithm Decoupling; 3.6.2 Model Decoupling; 3.7 DC State Estimator; References; 4Network Observability and Pseudomeasurem; 4.1 Network Graphs and Matrices; 4.2 Bus Admittance and Bus Impedance Matrices.…”
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Power system state estimation theory and implementation / Ali Abur, Antonio Go<U+0301>mez Expo<U+0301>sito. by Abur, Ali, 1957-

Subjects: “…Electric power systems State estimation. sh 85041931…”
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Power system state estimation : theory and implementation / Ali Abur, Antonio Gomez Exposito. by Abur, Ali, 1957-

Table of Contents: “…Preface -- INTRODUCTION -- Operating States of a Power System -- Power System Security Analysis -- State Estimation -- Summary -- WEIGHTED LEAST SQUARES STATE ESTIMATION -- Introduction -- Component Modeling and Assumptions -- Building the Network Model -- Maximum Likelihood Estimation -- Measurement Model and Assumptions -- WLS State Estimation Algorithm -- Decoupled Formulation of the WLS State Estimation -- DC State Estimation Model -- Problems -- References -- ALTERNATIVE FORMULATIONS OF THE WLS STATE ESTIMATION -- Weaknesses of the Normal Equations Formulation -- Orthogonal Factorization -- Hybrid Method -- Method of Peters and Wilkinson -- Equality-Constrained WLS State Estimation -- Augmented Matrix Approach -- Blocked Formulation -- Comparison of Techniques -- Problems -- References -- NETWORK OBSERVABILITY ANALYSIS -- Networks and Graphs -- NetworkMatrices -- LoopEquations -- Methods of Observability Analysis -- Numerical Method Based on the Branch Variable Formulation -- Numerical Method Based on the Nodal Variable Formulation -- Topological Observability Analysis Method -- Determination of Critical Measurements -- Measurement Design -- Summary -- Problems -- References -- BAD DATA DETECTION AND IDENTIFICATION -- Properties of Measurement Residuals -- Classification of Measurements -- Bad Data Detection and IdentiRability -- Bad Data Detection -- Properties of Normalized Residuals -- Bad Data Identification -- Largest Normalized Residual Test -- Hypothesis Testing Identification (HTI) -- Summary -- Problems -- References -- ROBUST STATE ESTIMATION -- Introduction -- Robustness and Breakdown Points -- Outliers and Leverage Points -- M-Estimators -- Least Absolute Value (LAV) Estimation -- Discussion -- Problems -- References -- NETWORK PARAMETER ESTIMATION -- Introduction -- Influence of Parameter Errors on State Estimation Results -- Identification of Suspicious Parameters -- Classification of Parameter Estimation Methods -- Parameter Estimation Based on Residua! …”
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Optimal and robust state estimation : finite impulse response (FIR) and Kalman approaches / Yuriy S. Shmaliy, Shunyi Zhao. by Shmaliy, Yuriy, Zhao, Shunyi

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Optimal and robust state estimation : finite impulse response (FIR) and Kalman approaches / Yuriy S. Shmaliy, Shunyi Zhao. by Shmaliy, Yuriy, Zhao, Shunyi

Table of Contents: “…3 -- 1.1.3 What are Basic State Estimates in Discrete Time? 5 -- 1.2 Properties of State Estimators 6 -- 1.2.1 Structures and Types 6 -- 1.2.2 Optimality 10 -- 1.2.3 Unbiased Optimality (Maximum Likelihood) 11 -- 1.2.4 Suboptimality 14 -- 1.2.5 Unbiasedness 17 -- 1.2.6 Deadbeat 17 -- 1.2.7 Denoising (Noise Power Gain) 17 -- 1.2.8 Stability 18 -- 1.2.9 Robustness 18 -- 1.2.10 Computational Complexity 19 -- 1.2.11 Memory Use 20 -- 1.3 More About FIR State Estimators 20 -- 1.4 Historical Overview and Most Noticeable Works 21 -- 1.5 Summary 26 -- 1.6 Problems 27 -- 2 Probability and Stochastic Processes 31 -- 2.1 Random Variables 31 -- 2.1.1 Moments and Cumulants 33 -- 2.1.2 Product Moments 39 -- 2.1.3 Vector Random Variables 41 -- 2.1.4 Conditional Probability. …”
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Classification, parameter estimation, and state estimation : an engineering approach using MATLAB /... by Heijden, Ferdinand van der, Lei, Bangjun, 1973-, Xu, Guangzhu, 1979-, Ming, Feng, 1957-, Zou, Yaobing, 1978-, Ridder, Dick de, 1971-, Tax, David M., 1973-

Table of Contents: “…PRTools Introduction -- Detection and Classification -- Parameter Estimation -- State Estimation -- Supervised Learning -- Feature Extraction and Selection -- Unsupervised Learning -- Worked Out Examples.…”
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Discrete inverse and state estimation problems : with geophysical fluid applications / Carl Wunsch. by Wunsch, Carl

Table of Contents: “…Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Acknowledgements; 1 Introduction; 2 Basic machinery; 3 Extensions of methods; 4 The time-dependent inverse problem: state estimation; 5 Time-dependent methods -- 2; 6 Applications to steady problems; 7 Applications to time-dependent fluid problems; References; Index.…”
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Power System State Estimation and Forecasting Fundamentals and Advanced Topics / by Milton Brown Do Coutto Filho. by Brown Do Coutto Filho, Milton

Table of Contents: “…Introduction -- StaticStateEstimation -- NetworkConfiguration -- ObservationCapabilityofMeasuringSystems -- CriticalityAnalysis -- HandlingCorruptedMeasurements -- ForecastingAidedStateEstimation -- PhasorAidedStateEstimation -- PowerNetworkBranchParameters -- Closure.…”
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Classification, parameter estimation, and state estimation : an engineering approach using MATLAB /... by Heijden, Ferdinand van der, Lei, Bangjun, 1973-, Xu, Guangzhu, 1979-, Ming, Feng, 1957-, Zou, Yaobing, 1978-, Ridder, Dick de, 1971-, Tax, David M., 1973-

Table of Contents: “…PRTools Introduction -- Detection and Classification -- Parameter Estimation -- State Estimation -- Supervised Learning -- Feature Extraction and Selection -- Unsupervised Learning -- Worked Out Examples.…”
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Classification, Parameter Estimation and State Estimation An Engineering Approach Using MATLAB / Duin, Robert. by Duin, Robert, van der Heijden, Ferdinand, de Ridder, Dick, Tax, David

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Classification, parameter estimation, and state estimation : an engineering approach using MATLAB / F. van der Heijden [and others].

Table of Contents: “…Detection and classification -- Parameter estimation -- State estimation -- Supervised learning -- Feature extraction and selection -- Unsupervised learning -- State estimation in practice -- Worked out examples -- Topics selected form functional analysis -- Topics selected from linear algebra and matrix theory -- Probabillity theory -- Discrete-time dynamic systems -- Introduction to PRTools -- MATLAB toolboxes used.…”
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State Estimation and Stabilization of Nonlinear Systems Theory and Applications / edited by Abdellatif Ben Makhlouf, Mohamed Ali Hammami, Omar Naifar.

Table of Contents: “…1.Practical h−Stability of Nonlinear Impulsive Systems: A Survey -- 2.Practical exponential stabilization for semi-linear systems in Hilbert spaces -- 3.An observer controller for delay impulsive switched systems -- 4.Stabilization of TS fuzzy systems via a practical observer -- 5.Observer-Based Robust Tracking Controller Design of Nonlinear Dynamic Systems Represented by Bilinear T-S Fuzzy Systems -- 6.H_infinity filter design for discrete-time switched interconnected systems with time delays -- 7.Stability and Observability Analysis of Uncertain Neutral Time-Delay Systems -- 8.Zonotopic State Estimation for Uncertain Discrete-Time Switched Linear Systems -- 9.Stability and stabilisation of nonlinear incommensurate fractional order difference systems -- 10.Nonlinear Fractional Discrete Neural Networks: Stability, Stabilization and Synchronization -- 11.LMI-based Designs for Feedback Stabilization of Linear/ Nonlinear Discrete-Time Systems in Reciprocal State Space: Synthesis and Experimental Validation -- 12.Overview on active fault-tolerant control -- 13.The nonlinear Progressive Accommodation: Design and methodology -- 14.Linear Methods For Stabilization and Synchronization h-Fractional Chaotic Maps -- 15.Artificial Neural Network design for non linear Takagi-Sugeno systems: Application to Tracking of trajectory, state and fault estimation of MIABOT robot -- 16.Sliding mode fault tolerant control against actuator failures for UAVs. -- 17.Frequency Stabilization in Microgrid using Super Twisting Sliding Mode -- 18.Determination of the dynamic parameters of the planar robot with 2 degrees of freedom by the method of least squares and instrumental variables -- 19.Design and Analysis of Nonsingular Terminal Super Twisting Sliding Mode Controller for Lower Limb Rehabilitation Exoskeleton Contacting with ground -- 20.Generalized Predictive Control Design of Benchmark Distillation Columns: A Case Study for Multi-Input Multi-Output System -- 21.Robust EV's speed Tracking using fractional order controller -- 22.Fractional order control of a grid connected WindPACT turbine -- 23.Comparative study between PI Controller and Fractional Order PI for speed control applied to the traction system of an Electric Vehicle (EV).…”
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