E-Books → Mind Control - Dark Psychology Secrets, Secret of Manipulation and Persuasion, How to Analyze

Published by: Emperor2011 on 7-09-2021, 17:08 | 0

Mind ControDark Psychology Secrets, Secret of Manipulation and Persuasion, How to Analyze | 1.59 MB
English | 688 Pages

Title: Mind Control: Dark Psychology Secrets, Secret of Manipulation and Persuasion, How to Analyze People and Body Language, NLP Manipulation, Brainwashing Techniques
Author: CLARK, BRANDON H., WILLIAMS, ROBERT J.
Year: 2020

E-Books → Control - Lena Little

Published by: ad-team on 6-09-2021, 22:15 | 0

E-Books → Advanced Dynamics Modeling, Duality and Control of Robotic Systems

Published by: voska89 on 5-09-2021, 20:08 | 0

English | 2021 | ISBN: 0367653710 | 321 pages | True PDF | 15.58 MB
This book provides detailed fundamental theoretical reviews and preparations necessary for developing advanced dynamics modeling and control strategies for various types of robotic systems. This research book specifically addresses and discusses the uniqueness issue of representing orientation or rotation, and further proposes an innovative isometric embedding approach. The novel approach can not only reduce the dynamic formulation for robotic systems into a compact form, but it also offers a new way to realize the orientational trajectory-tracking control procedures.
In addition, the book gives a comprehensive introduction to fundamentals of mathematics and physics that are required for modeling robot dynamics and developing effective control algorithms. Many computer simulations and realistic 3D animations to verify the new theories and algorithms are included in the book as well.

E-Books → Model Predictive Control for Microgrids From power electronic converters to energy management

Published by: voska89 on 4-09-2021, 21:17 | 0

English | 2021 | ISBN: 1839533978 | 300 pages | True EPUB | 21.61 MB
Microgrids have emerged as a promising solution for accommodating the integration of renewable energy resources. But the intermittency of renewable generation is posing challenges such as voltage/frequency fluctuations, and grid stability issues in grid-connected modes. Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. It has been in use for chemical plants and in oil refineries since the 1980s, but in recent years has been deployed for power systems and electronics as well.

E-Books → Pragmatic Version Control using Subversion 2nd Edition

Published by: ad-team on 4-09-2021, 17:40 | 0

E-Books → Filtering Control and Fault Detection with Randomly Occurring Incomplete Information

Published by: ad-team on 3-09-2021, 21:54 | 0

E-Books → Fractional Order Systems―Control Theory and Applications

Published by: voska89 on 3-09-2021, 21:27 | 0

Fractional Order Systems―Control Theory and Applications: Fundamentals and Applications
English | 2022 | ISBN: 3030714454 | 224 Pages | PDF | 5 MB
This book aims to bring together the latest innovative knowledge, analysis, and synthesis of fractional control problems of nonlinear systems as well as some related applications. Fractional order systems (FOS) are dynamical systems that can be modelled by a fractional differential equation carried with a non-integer derivative. In the last few decades, the growth of science and engineering systems has considerably stimulated the employment of fractional calculus in many subjects of control theory, for example, in stability, stabilization, controllability, observability, observer design, and fault estimation. The application of control theory in FOS is an important issue in many engineering applications. So, to accurately describe these systems, the fractional order differential equations have been introduced.

E-Books → Control Charts and Machine Learning for Anomaly Detection in Manufacturing

Published by: voska89 on 3-09-2021, 21:16 | 0

Control Charts and Machine Learning for Anomaly Detection in Manufacturing
English | 2022 | ISBN: 3030838188 | 270 Pages | PDF | 7 MB
This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution.