**Meet the editor**

Dr. Ginalber Luiz de Oliveira Serra was born in São Luis, Brazil, in 1976. He received his BSc and MSc degrees in electrical engineering from Federal University of Maranhão, São Luis, MA, Brazil, in 1999 and 2001, respectively. Dr. Serra received his PhD degree in Electrical Engineering from the State University of Campinas, Campinas, SP, Brazil, in September 2005. He finished his postdoc-

toral research on neuro-fuzzy adaptive control, with the Department of Machinery, Components and Intelligent Systems, at the State University of Campinas, Campinas, SP, Brazil, in September 2006. Dr. Serra developed researches on control and intelligent systems, with the Department of Electrical Engineering, at the University of Santiago, Santiago, Chile, from 2006 to 2007. He is currently the professor and head of the research group on Computational Intelligence Applied to Technology, at Federal Institute of Education, Science and Technology, São Luis, MA, Brazil. Dr. Serra has contributed as the editor for the book *Frontiers in Advanced Control Systems* (InTech, 2012) and the author/reviewer of several papers for many prestigious international journals and conferences. His research interest includes topics on computational intelligence, signal processing, automation, and industrial control applications.

Contents

**Preface VII**

**Kalman Filter 1**

**Kalman Filter 33**

**Vehicle Dynamics 55**

Ortmaier

Sarita Nanda

Kok-Yong Seng

Qian Zhuang

Mudambi R Ananthasayanam

Guocan Wu and Xiaogu Zheng

Chapter 5 **Kalman Filters for Parameter Estimation of Nonstationary Signals 99**

**Thermal Work Strain 119**

Chapter 2 **The Error Covariance Matrix Inflation in Ensemble**

Chapter 1 **A Reference Recursive Recipe for Tuning the Statistics of the**

Chapter 3 **Unscented Kalman Filter for State and Parameter Estimation in**

Chapter 4 **Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems 77** Mauro Hernán Riva, Mark Wielitzka and Tobias Ortmaier

Chapter 6 **Kalman Filter Models for the Prediction of Individualised**

Chapter 7 **Application of Kalman Filtering in Dynamic Prediction for**

**Corporate Financial Distress 135**

Mark Wielitzka, Alexander Busch, Matthias Dagen and Tobias

Jia Guo, Ying Chen, Weiping Priscilla Fan, Si Hui Maureen Lee, Junxian Ong, Poh Ling Tan, Yu Li Lydia Law, Kai Wei Jason Lee and
