Free Download Cost Managment (Control+Estimation+Pricing) Begginer To Pro
Last updated 11/2023
Created by Experts House
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 11 Lectures ( 9h 19m ) | Size: 3.3 GB

Fadali M Introduction to Random Signals, Estimation Theory, Kalman Filt 2024 | 11.59 MB
N/A | 489 Pages

Title: Introduction to Random Signals, Estimation Theory, and Kalman Filtering
Author: M. Sami Fadali
Year: N/A

Free Download Radar Rainfall Data Estimation and Use by Chandra S. Pathak
English | 2018 | ISBN: 0784415110 | 308 Pages | PDF | 4.5 MB
Radar Rainfall Data Estimation and Use, MOP 139, provides a detailed look at the basic philosophy and principles for estimating and analyzing radar rainfall data and analyzing data.

Free Download Geoff Cumming, "Introduction to the New Statistics: Estimation, Open Science, and Beyond Ed 2"
English | ISBN: 036753150X | 2024 | 576 pages | PDF | 121 MB
This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis ("the new statistics"), is exactly what's needed for Open Science.

Free Download Alexandre Barbosa de Lima, "Internet Teletraffic Modeling and Estimation "
English | ISBN: 8792982107 | 2013 | 186 pages | PDF | 3 MB
Network traffic has fractal properties such as impulsiveness, selfsimilarity, and long-range dependence over several time scales, from milliseconds to minutes. These features have motivated the development of new traffic models and traffic control algorithms. This book presents a new statespace model for Internet traffic, which is based on a finite-dimensional representation of the Autoregressive Fractionally Integrated Moving Average (ARFIMA) random process. The modeling via Autoregressive (AR) processes is also investigated.

Dinwiddie G Software Estimation Without Guessing Effective Planning 2019 Rep | 4.95 MB
N/A | 238 Pages

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Author: N/A
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Free Download State Estimation and Stabilization of Nonlinear Systems: Theory and Applications by Abdellatif Ben Makhlouf, Mohamed Ali Hammami, Omar Naifar
English | PDF EPUB (True) | 2023 | 439 Pages | ISBN : 3031379691 | 73.8 MB
This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal for the stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).

Free Download Mono- and Multivariable Control and Estimation: Linear, Quadratic and LMI Methods by Eric Ostertag
English | PDF | 2011 | 359 Pages | ISBN : 3642137334 | 4.7 MB
This book presents the various design methods of a state-feedback control law and of an observer. The considered systems are of continuous-time and of discrete-time nature, monovariable or multivariable, the last ones being of main consideration. Three different approaches are described: * Linear design methods, with an emphasis on decoupling strategies, and a general formula for multivariable controller or observer design; * Quadratic optimization methods: Linear Quadratic Control (LQC), optimal Kalman filtering, Linear Quadratic Gaussian (LQG) control; * Linear matrix inequalities (LMIs) to solve linear and quadratic problems. The duality between control and observation is taken to advantage and extended up to the mathematical domain. A large number of exercises, all given with their detailed solutions, mostly obtained with MATLAB, reinforce and exemplify the practical orientation of this book. The programs, created by the author for their solving, are available on the Internet sites of Springer and of MathWorks for downloading. This book is targeted at students of Engineering Schools or Universities, at the Master's level, at engineers desiring to design and implement innovative control methods, and at researchers.

Majeed M Aircraft Aerodynamic Parameter Estimation from Flight Data 2021 | 3.56 MB
N/A | 74 Pages

Title: 507061_1_En_Print.indd
Author: u6fonter
Year: N/A

Eggermont P Maximum Penalized Likelihood Estimation Vol 1 Density 2001 | 37.63 MB
N/A | 514 Pages

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Author: N/A
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