PDF-NPTEL Mechanical Engineering Modeling and Control of Dynamic electroMechanical System

Bi kh Bh tt ac arya Professor Department of Mechanical Engineering IIT Kanpur Joint Initiative of IITs and IISc Funded by MHRD brPage 2br NPTEL Mechanical Engineering Modeling and Control of Dynamic electroMechanical System Module 4 Lecture 33 Jo. This method in corporates a restarting scheme to automatical ly estimate the strong convexity parameter and achieves a nearly optimal iteration complexi ty Then we consider the regularized least squares LS problem in the highdimensional setting Alt Bi kh Bh tt ac arya Professor Department of Mechanical Engineering IIT Kanpur Joint Initiative of IITs and IISc Funded by MHRD brPage 2br NPTEL Mechanical Engineering Modeling and Control of Dynamic electroMechanical System Module 3 Lecture 21 Jo 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 u simple Control law is strongly nonlinear If the corresponding time constants are large enough good control results at small errors can even be reached with discontinuous controllers and simple control elements Types of controllers Two position mod 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 Bishakh Bhattacharya Professor Department of Mechanical Engineering IIT Kanpur IIT Kanpur Joint Initiative of IITs and IISc Funded by MHRD brPage 2br NPTEL Mechanical Engineering Modeling and Control of Dynamic electroMechanical System Module 2 L e Ax where is vector is a linear function of ie By where is then is a linear function of and By BA so matrix multiplication corresponds to composition of linear functions ie linear functions of linear functions of some variables Linear Equations N with state input and process noise linear noise corrupted observations Cx t 0 N is output is measurement noise 8764N 0 X 8764N 0 W 8764N 0 V all independent Linear Quadratic Stochastic Control with Partial State Obser vation 102 br Ascend plant growth regulator contains an optimum combination of three plant growth regulators and can be used as a seed treatment in furrow or as a foliar application Ascend plant growth regulator can also be applied by ground air or chemigation Pl Alfredo D. Bobadilla. An element of the electrical circuit experiences movement or oscillations.. Notice how the electrical current depends on the capacitor displacement.. In the system shown, the electrical behavior depends on mechanical properties.. Section 3.4 beginning on page 122. The Big Ideas. The . quadratic formula . allows us to . solve any quadratic equation . once it is written in standard form. The . discriminant. . is a part of the quadratic formula that tells us . NPTEL Chemical Engineering Interfacial Engineering Module 6: Lecture 6 Joint Initiative of IITs and IISc Funded by MHRD 2/20 Table of Contents Section/Subsection Page No. 6.6.1 Int INdia. Under NMEICT, MHRD. http://. nptel.ac.in. NPTEL Online Certification (NOC). Open Online Course (Enrollment . is free). https://onlinecourses.nptel.ac.in. Proctored Exam(optional for a fee). cities across the country. Presentation for use with the textbook, . Algorithm Design and Applications. , by M. T. Goodrich and R. Tamassia, Wiley, 2015. Application: DNA Sequence Alignment. DNA sequences can be viewed as strings of .