Author: Publisher:
ISBN:
Category : Mechanical engineering
Languages : en
Pages : 504
Book Description
Paper
Author: Publisher:
ISBN:
Category : Mechanical engineering
Languages : en
Pages : 504
Book Description
International Aerospace Abstracts
Author: ASME Technical Papers
Author: Publisher:
ISBN:
Category : Mechanical engineering
Languages : en
Pages : 526
Book Description
Applied Mechanics Reviews
Author: Dissertation Abstracts International
Author: Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 820
Book Description
Research and Technology 1996
Author: Scientific and Technical Aerospace Reports
Author: Directory of Graduate Research
Author: Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 1850
Book Description
Faculties, publications and doctoral theses in departments or divisions of chemistry, chemical engineering, biochemistry and pharmaceutical and/or medicinal chemistry at universities in the United States and Canada.
Sensing, Actuation, and Control in Aeropropulsion
Author: James Donald PaduanoPublisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 242
Book Description
Deterministic Learning Theory for Identification, Recognition, and Control
Author: Cong WangPublisher: CRC Press
ISBN: 1420007769
Category : Technology & Engineering
Languages : en
Pages : 207
Book Description
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).