Ming Wang

Data-Driven Modeling, Filtering And Control: Methods And Applications

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Data-Driven Modeling, Filtering And Control: Methods And ApplicationsISBN13:9781785617126ISBN10:1785617125Author:Novara, Carlo (Editor), Formentin, Simone (Editor)Description:Research In The Field Of System Identification And Control Has Been Shifting From Traditional Model-Based To Data-Driven Or Evidence-Based Theories The Latter Methods Enable Better Designs Based On More Direct And Accurate Data-Based Information And Verifiable Data In The Era Of Big Data, Iot, And Cyber-Physical Systems, This Subject Is Of Growing Importance, As Data-Driven Approaches Are Key Enablers To Solve Problems That Could Not Be Addressed By Previous Standard Approaches This Book Presents A Number Of Innovative Data-Driven Methodologies, Complemented By Significant Application Examples To Show The Potential Offered By The Most Recent Advances In The Field Applicable Across A Range Of Disciplines, The Topics Discussed Here Will Be Of Interest To Researchers, Engineers And Students In Automatic Control, Learning Systems, Automotive And Aerospace Engineering, Electrical Engineering And Signal Processing Binding:Hardcover, HardcoverPublisher:Institution of Engineering & TechnologyPublication Date:2019-09-04Weight:1.4 lbsDimensions:0.7'' H x 9.4'' L x 6.4'' WNumber of Pages:304Language:English

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Location: USA

End Time: 2024-10-06T13:04:08.000Z

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Data-Driven Modeling, Filtering And Control: Methods And Applications

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Book Title: Data-Driven Modeling, Filtering And Control: Methods And App...

Item Length: 9.2in

Item Width: 6.1in

Author: Simone Formentin

Publication Name: Data-Driven Modeling, Filtering and Control : Methods and Applications

Format: Hardcover

Language: English

Publisher: Institution of Engineering & Technology

Publication Year: 2019

Series: Control, Robotics and Sensors Ser.

Type: Textbook

Number of Pages: 304 Pages

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