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An Overview of Control Theory and Digital Signal Processing

An Overview of Control Theory and Digital Signal Processing

An Overview of Control Theory and Digital Signal Processing. Luca Matone Columbia Experimental Gravity group ( GECo ) LHO Jul 18-22, 2011 LLO Aug 8-12, 2011 LIGO-G1100863. Syllabus (tentative). Objective. Control System Manages and regulates a set of variables in a system

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1.02k views • 86 slides
ECE 476 POWER SYSTEM ANALYSIS

ECE 476 POWER SYSTEM ANALYSIS

ECE 476 POWER SYSTEM ANALYSIS. Lecture 25 Governors, Harmonics, the Smart Grid Professor Tom Overbye Department of Electrical and Computer Engineering. Announcements. Be reading Chapter 14 Last homework is 12.3, 12.11, 14.15. Needs to be done before the final Project is due today

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438 views • 32 slides
Electrical ENgg . Department Simulation of elevator using Simulink

Electrical ENgg . Department Simulation of elevator using Simulink

Electrical ENgg . Department Simulation of elevator using Simulink. Any drive system consists of: - Power Source - Electronic Converter - Motor - Mechanical Load - Controller - Feedback loops.

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555 views • 28 slides
Feedback Control Roundup

Feedback Control Roundup

Feedback Control Roundup. Where is this class going? Why control? What is feedback? What are those block diagrams, and how do they relate to the equations? How does PID work? How do controllers go out of tune, how can I recognize them, and what do I do?. Where is this class going?.

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428 views • 20 slides
Intelligent Post-it Application with Voice Recognition Feature

Intelligent Post-it Application with Voice Recognition Feature

Intelligent Post-it Application with Voice Recognition Feature. Project team: Da Young Lee Linus Wooram Jeon Nithya Kote Shundan Xiao . Introduction. 1. Introduction (in brief) 2. Motivation: why we choose this project? (in the aspect of HCI)

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312 views • 17 slides
SeaWinds Error Bars Overview

SeaWinds Error Bars Overview

SeaWinds Error Bars Overview. Jan 17,2006 Bryan Stiles and R. Scott Dunbar. Overview. Error Bars previously in product were computed: using a few objective functions values in the neighborhood of each ambiguity Assuming the probability distribution was Gaussian both speed and direction

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202 views • 10 slides

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