Discrete Data Control Systems

Discrete-Time Control System Design with Applications  eBooks & eLearning

Posted by AvaxGenius at Feb. 23, 2022
Discrete-Time Control System Design with Applications

Discrete-Time Control System Design with Applications by C.A. Rabbath
English | PDF | 2014 | 181 Pages | ISBN : 1461492890 | 8 MB

This book presents practical techniques of discrete-time control system design. In general, the design techniques lead to low-order dynamic compensators that ensure satisfactory closed-loop performance for a wide range of sampling rates. The theory is given in the form of theorems, lemmas, and propositions. The design of the control systems is presented as step-by-step procedures and algorithms. The proposed feedback control schemes are applied to well-known dynamic system models.

Modeling, Simulation and Control using Python  eBooks & eLearning

Posted by lucky_aut at Oct. 24, 2020
Modeling, Simulation and Control using Python

Modeling, Simulation and Control using Python
Duration: 1h 27m | .MP4 1280x720, 30 fps(r) | AAC, 48000Hz, 2ch | 1.02 GB
Genre: eLearning | Language: English

Control System Modeling | Simulation | Applying Control | PID | PYTHON| System dynamics | Excercise problems

CONTROL SYSTEMS ENGINEERING: Beginner Guide  eBooks & eLearning

Posted by Free butterfly at Jan. 15, 2022
CONTROL SYSTEMS ENGINEERING: Beginner Guide

CONTROL SYSTEMS ENGINEERING: Beginner Guide by SHYMALA THAMARAI
English | 2022 | ISBN: N/A | ASIN: B09PZC1TZX | 160 pages | EPUB | 3.72 Mb

Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven  eBooks & eLearning

Posted by AvaxGenius at Aug. 26, 2022
Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven

Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven by Ronghu Chi, Na Lin, Huimin Zhang, Ruikun Zhang
English | EPUB | 2022 | 211 Pages | ISBN : 9811904634 | 30.5 MB

This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory.

Discrete-Time Control System Design with Applications [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Aug. 22, 2014
Discrete-Time Control System Design with Applications [Repost]

C. A. Rabbath, ‎N. Léchevin - Discrete-Time Control System Design with Applications
Published: 2013-12-12 | ISBN: 1461492890 | PDF | 217 pages | 4 MB

Stochastic Modelling and Control  eBooks & eLearning

Posted by AvaxGenius at Nov. 23, 2023
Stochastic Modelling and Control

Stochastic Modelling and Control by M. H. A. Davis , R. B. Vinter
English | PDF | 1985 | 405 Pages | ISBN : 9401086400 | 24.6 MB

This book aims to provide a unified treatment of input/output modelling and of control for discrete-time dynamical systems subject to random disturbances. The results presented are of wide applica­ bility in control engineering, operations research, econometric modelling and many other areas. There are two distinct approaches to mathematical modelling of physical systems: a direct analysis of the physical mechanisms that comprise the process, or a 'black box' approach based on analysis of input/output data.

Control Engineering (Repost)  eBooks & eLearning

Posted by AvaxGenius at Nov. 4, 2018
Control Engineering (Repost)

Control Engineering by László Keviczky
English | PDF,EPUB | 2018 (2019 Edition) | 545 Pages | ISBN : 9811082960 | 38.31 MB

This book offers fundamental information on the analysis and synthesis of continuous and sampled data control systems. It includes all the required preliminary materials (from mathematics, signals and systems) that are needed in order to understand control theory, so readers do not have to turn to other textbooks. Sampled data systems have recently gained increasing importance, as they provide the basis for the analysis and design of computer-controlled systems. Though the book mainly focuses on linear systems, input/output approaches and state space descriptions are also provided. Control structures such as feedback, feed forward, internal model control, state feedback control, and the Youla parameterization approach are discussed, while a closing section outlines advanced areas of control theory.

Process Control & Instrumentation 16 Hour Masterclass  eBooks & eLearning

Posted by Sigha at Aug. 30, 2024
Process Control & Instrumentation 16 Hour Masterclass

Process Control & Instrumentation 16 Hour Masterclass
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 3.02 GB | Duration: 16h 33m

Know & understand process control PID controllers control valves actuators positioners & instrumentation like a pro

Process Control & Instrumentation 16 Hour Masterclass  eBooks & eLearning

Posted by Sigha at Aug. 30, 2024
Process Control & Instrumentation 16 Hour Masterclass

Process Control & Instrumentation 16 Hour Masterclass
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 3.02 GB | Duration: 16h 33m

Know & understand process control PID controllers control valves actuators positioners & instrumentation like a pro

Control Engineering  eBooks & eLearning

Posted by AvaxGenius at Oct. 6, 2018
Control Engineering

Control Engineering by László Keviczky
English | PDF,EPUB | 2018 (2019 Edition) | 545 Pages | ISBN : 9811082960 | 38.31 MB

This book offers fundamental information on the analysis and synthesis of continuous and sampled data control systems. It includes all the required preliminary materials (from mathematics, signals and systems) that are needed in order to understand control theory, so readers do not have to turn to other textbooks. Sampled data systems have recently gained increasing importance, as they provide the basis for the analysis and design of computer-controlled systems. Though the book mainly focuses on linear systems, input/output approaches and state space descriptions are also provided. Control structures such as feedback, feed forward, internal model control, state feedback control, and the Youla parameterization approach are discussed, while a closing section outlines advanced areas of control theory.