Deterministic Learning Theory for Identification Recognition and Control is popular PDF and ePub book, written by Cong Wang in 2018-10-03, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Deterministic Learning Theory for Identification Recognition and Control can be Read Online from any device for your convenience.
Deterministic Learning Theory for Identification Recognition and Control Book PDF Summary
Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic View of Learning in Dynamic Environments The authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems. A New Model of Information Processing This book elucidates a learning theory which is developed using concepts and tools from the discipline of systems and control. Fundamental knowledge about system dynamics is obtained from dynamical processes, and is then utilized to achieve rapid recognition of dynamical patterns and pattern-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).
Detail Book of Deterministic Learning Theory for Identification Recognition and Control PDF
- Author : Cong Wang
- Release : 03 October 2018
- Publisher : CRC Press
- ISBN : 9781420007763
- Genre : Technology & Engineering
- Total Page : 207 pages
- Language : English
- PDF File Size : 12,7 Mb
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