System parameter identification :
Chen, Badong,
System parameter identification : information criteria and algorithms / Badong Chen, Institute of Artificial Intelligence and Robotics (IAIR), Xi'an Jiaotong University, Xi'an, China, Yu Zhu, Department of Mechanical Engineering, Tsinghua University, Beijing, China, Jinchun Hu, Department of Mechanical Engineering, Tsinghua University, Beijing, China, Jose C. Principe, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA. - First edition. - London, UK ; Waltham, MA, USA : Elsevier, 2013. - xv, 249 pages : illustrations ; 24 cm
Includes bibliographical references (pages 239-249) and index.
Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing, investigating system identification from an information theory point of view. The book is divided into six chapters, which cover the information needed to understand the theory and application of system parameter identification.--
9780124045743 012404574X
2013940529
016424399 Uk
System identification.
Computer algorithms.
Computer algorithms.
System identification.
QA402 / .C4385 2013
629.8312
System parameter identification : information criteria and algorithms / Badong Chen, Institute of Artificial Intelligence and Robotics (IAIR), Xi'an Jiaotong University, Xi'an, China, Yu Zhu, Department of Mechanical Engineering, Tsinghua University, Beijing, China, Jinchun Hu, Department of Mechanical Engineering, Tsinghua University, Beijing, China, Jose C. Principe, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA. - First edition. - London, UK ; Waltham, MA, USA : Elsevier, 2013. - xv, 249 pages : illustrations ; 24 cm
Includes bibliographical references (pages 239-249) and index.
Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing, investigating system identification from an information theory point of view. The book is divided into six chapters, which cover the information needed to understand the theory and application of system parameter identification.--
9780124045743 012404574X
2013940529
016424399 Uk
System identification.
Computer algorithms.
Computer algorithms.
System identification.
QA402 / .C4385 2013
629.8312