PPT-EE4262 Digital and Non-Linear Control

Author : danika-pritchard | Published Date : 2017-05-16

Professor Shiyan Hu EERC 518 Department of Electrical and Computer Engineering Michigan Technological University 1 Class Time and Office Hour Class Time MW 11051155

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EE4262 Digital and Non-Linear Control: Transcript


Professor Shiyan Hu EERC 518 Department of Electrical and Computer Engineering Michigan Technological University 1 Class Time and Office Hour Class Time MW 11051155 Rekhi Hall G009 Office Hours MW 15001600 or by appointment office EERC 518. One of the most important aspects is the sampling proces s level In continuous time control systems all the system variable s are continuous signals Whether the system is linear or nonlinear all variables are continu ously present and therefore know Sx Qx Ru with 0 0 Lecture 6 Linear Quadratic Gaussian LQG Control ME233 63 brPage 3br LQ with noise and exactly known states solution via stochastic dynamic programming De64257ne cost to go Sx Qx Ru We look for the optima under control N is the process noise or disturbance at time are IID with 0 is independent of with 0 Linear Quadratic Stochastic Control 52 brPage 3br Control policies statefeedback control 0 N called the control policy at time roughly speaking we choo a 12 22 a a mn is an arbitrary matrix Rescaling The simplest types of linear transformations are rescaling maps Consider the map on corresponding to the matrix 2 0 0 3 That is 7 2 0 0 3 00 brPage 2br Shears The next simplest type of linear transfo We have no digital cable boxes that will work on digital cable tv No digital cable box is available Digital cable descrambler and digital cable box will be available someday At this time no digital cable tv box is available Look for digital cable de 5 CC 35 100 100 CC brPage 4br brPage 5br brPage 6br 8486 brPage 7br brPage 8br SUPPLY CURRENT mA 08 06 04 02 10 20 040 SUPPLY VOLTAGE V amb 7057520C amb 12557520C amb 057520C amb 2557520C amb 5557520C INPUT CURRENT nA 20 10 20 040 SUPPLY VOLTAGE V Presented by: Johnathan Franck. Mentor: . Alex . Cloninger. Outline. Different Representations. 5 Techniques. Principal component . analysis (PCA)/. Multi-dimensional . scaling (MDS). Sammons non-linear mapping. in mechanism design. Shuchi Chawla. University of Wisconsin – Madison. FOCS 2012. So far today…. Revenue & Social Welfare. This talk:. Non-linear functions of type & allocation. Question: how well can we optimize in strategic settings?. Charlotte Kiang. May 16, 2012. About me. My name is Charlotte Kiang, and I am a junior at Wellesley College, majoring in math and computer science with a focus on engineering applications.. What I hope to accomplish today. Digital Control and Z Transform. 1. Introduction. Digital control offers distinct advantages over analog control that explain its popularity.. Accuracy: . Digital signals are more accurate than their analogue counterparts. . INTRODUCTION. Introduction. . What. is a . control. . system. ?. Objective:. To make the system OUTPUT and the desired REFERENCE as close as. . possible, i.e., to make the ERROR as . small as possible.. Digital Control System Time Domain and Stability Analysis. 1. Introduction. The time response of a discrete-time linear system is the solution of the difference equation governing the system.. For the . Linear Alkyl Benzene Market Report published by value market research, it provides a comprehensive market analysis which includes market size, share, value, growth, trends during forecast period 2019-2025 along with strategic development of the key player with their market share. Further, the market has been bifurcated into sub-segments with regional and country market with in-depth analysis. View More @ https://www.valuemarketresearch.com/report/linear-alkyl-benzene-lab-market What. is . what. ? . Regression: One variable is considered dependent on the other(s). Correlation: No variables are considered dependent on the other(s). Multiple regression: More than one independent variable.

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