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In this book, we collected recent results on the control of
underactuated mechanical systems subject to internal uncertainties
and external disturbances. The strategy developed is so universal
that it is not restricted to a specific system but a large class of
underactuated systems. Several benchmark systems are studied in
this book, including detailed literature review, system dynamics
derivation, control problem formulation, and simulation
verification. The control strategy developed in chapter 4 is able
to stabilize all these benchmark systems with satisfactory
performance regardless of the underactuated dynamics and various
uncertainties. The book is written as a text suitable for graduate
students in the advanced course for the control of underactuated
systems. It also provides valuable tools for researchers and
practicing engineers working on the control of underactuated
mechanical systems.
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Man-Machine Speech Communication - 17th National Conference, NCMMSC 2022, Hefei, China, December 15–18, 2022, Proceedings (1st ed. 2023)
Ling Zhenhua, Gao Jianqing, Yu Kai, Jia Jia
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R2,323
Discovery Miles 23 230
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the
17th National Conference on Man–Machine Speech
Communication, NCMMSC 2022, held in China, in December 2022.
The 21 full papers and 7 short papers included in this book were
carefully reviewed and selected from 108 submissions. They
were organized in topical sections as follows:Â MCPN: A
Multiple Cross-Perception Network for Real-Time Emotion Recognition
in Conversation.- Baby Cry Recognition Based on Acoustic Segment
Model, MnTTS2 An Open-Source Multi-Speaker Mongolian
Text-to-Speech Synthesis Dataset.
Database developers and administrators will use this book to learn
how to deploy machine learning models in Oracle Database and in
Oracle's Autonomous Database cloud offering. The book covers the
technologies that make up the Oracle Machine Learning (OML)
platform, including OML4SQL, OML Notebooks, OML4R, and OML4Py. The
book focuses on Oracle Machine Learning as part of the Oracle
Autonomous Database collaborative environment. Also covered are
advanced topics such as delivery and automation pipelines.
Throughout the book you will find practical details and hand-on
examples showing you how to implement machine learning and automate
deployment of machine learning. Discussion around the examples
helps you gain a conceptual understanding of machine learning.
Important concepts discussed include the methods involved, the
algorithms to choose from, and mechanisms for process and
deployment. Seasoned database professionals looking to make the
leap into machine learning as a growth path will find much to like
in this book as it helps you step up and use your current knowledge
of Oracle Database to transition into providing machine learning
solutions. What You Will Learn Use the Oracle Machine Learning
(OML) Notebooks for data visualization and machine learning model
building and evaluation Understand Oracle offerings for machine
learning Develop machine learning with Oracle database using the
built-in machine learning packages Develop and deploy machine
learning models using OML4SQL and OML4R Leverage the Oracle
Autonomous Database and its collaborative environment for Oracle
Machine Learning Develop and deploy machine learning projects in
Oracle Autonomous Database Build an automated pipeline that can
detect and handle changes in data/model performance Who This Book
Is For Database developers and administrators who want to learn
about machine learning, developers who want to build models and
applications using Oracle Database's built-in machine learning
feature set, and administrators tasked with supporting applications
on Oracle Database that make use of the Oracle Machine Learning
feature set
This book presents the proceedings of the 9th Asian South Pacific
Association of Sport Psychology International Congress (ASPASP)
2022, Kuching, Malaysia, which entails the different sporting
innovation themes, namely, Applied Sport and Social Psychology,
Health and Exercise, Motor Control and Learning, Counselling and
Clinical Psychology, Biomechanics, Data Mining and Machine Learning
in Sports amongst others. It presents the state-of-the-art
technological advancements towards the aforesaid themes and
provides a platform to shape the future direction of sport science,
specifically in the field sports and exercise psychology.Â
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The Library
Andrew Lang
Paperback
R433
Discovery Miles 4 330
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