Search results “Nonlinear systems analysis pdf”

Find the fixed points and determines the linear stability of a system of two first-order nonlinear differential equations.
Free books:
http://bookboon.com/en/differential-equations-with-youtube-examples-ebook
http://www.math.ust.hk/~machas/differential-equations.pdf

Views: 56649
Jeffrey Chasnov

This video lecture you to concept of Nonlinear Equations with Solution in Numerical Methods. Understand the concept of Nonlinear Equations in details with help of examples.
For any query and feedback, please write at: [email protected]
Download the PDF to get access of study material @ http://bit.ly/GNM26SolutionNonLinearEquations
For latest updates subscribe our channel "YSR EduTech" or join me on Facebook page "YSR EduTech" numerical methods

Views: 22124
YSR EduTech

Shows how to determine the fixed points and their linear stability of two-dimensional nonlinear differential equation.
Free books:
http://bookboon.com/en/differential-equations-with-youtube-examples-ebook
http://www.math.ust.hk/~machas/differential-equations.pdf

Views: 2941
Jeffrey Chasnov

ME564 Lecture 9
Engineering Mathematics at the University of Washington
Linearization of nonlinear ODEs, 2x2 systems, phase portraits
Notes: http://faculty.washington.edu/sbrunton/me564/pdf/L09.pdf
Course Website: http://faculty.washington.edu/sbrunton/me564/
http://faculty.washington.edu/sbrunton/

Views: 8612
Steve Brunton

This workshop will provide a hands-on experience on using SAP2000 for estimating response of structure subject to dynamic loads. A simple steel moment-frame structure will be used to demonstrate steps involved in performing modal, pushover, response-spectrum, and response time-history analysis. Different options available in SAP2000 to capture nonlinear behavior of structure and their effects on structural response will also be discussed.
Presentation and supporting materials are available here:
http://www.manishkumar.org/resources/softwares/SAP2000/MyTutorial/NDA/SAP2000_Nonlinear_Dynamic_Analysis.pdf
http://www.manishkumar.org/resources/softwares/SAP2000/MyTutorial/NDA/Files.zip
Note: The scale factor in nonlinear response history analysis case should be 0.01 (I first assigned it 9.81, and then 0.1) to convert the values in ground motion file from cm/sec2 to m/sec2.

Views: 25094
maksins

Learn via example the secant method of solving a nonlinear equation. For more videos and resources on this topic, please visit http://nm.mathforcollege.com/topics/secant_method.html

Views: 204136
numericalmethodsguy

MIT RES.18-009 Learn Differential Equations: Up Close with Gilbert Strang and Cleve Moler, Fall 2015
View the complete course: http://ocw.mit.edu/RES-18-009F15
Instructor: Gilbert Strang
With two equations, the two linearized equations use the 2 by 2 matrix of partial derivatives of the right hand sides.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 21606
MIT OpenCourseWare

We discuss the use of Phase Plane Plots for understanding the qualitative behavior of systems of differential equations.

Views: 83975
Dr. Underwood's Physics YouTube Page

signal and systems - classification of signals .
find whether the given signal is :
causal / non-causal , linear / non-linear , time variant / invariant , static / dynamic , stable / unstable
playlist of signal and system:
https://www.youtube.com/watch?v=RXXPrSZASyc&list=PLfP-D1tg0DI2Fpj_oV4VvLax4JJVL_kW2
playlist of dsp:
https://www.youtube.com/watch?v=L19p9Qa_Wlg&list=PLfP-D1tg0DI1VEDhEOVNHrTs_pzt684ou
ANY DOUBT ? ASK ON FB page .
facebook link : https://www.facebook.com/studysimplified/

Views: 65322
studysimplified

Nonlinear optics
Prof. Kimani Toussaint, UIUC
Powerpoint: http://light.ece.illinois.edu/bss12/Toussaint_Lecture1_p2-NonlinearOptics2012.pdf

Views: 13964
NanoBio Node

MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015
View the complete course: http://ocw.mit.edu/10-34F15
Instructor: James Swan
This lecture talked about the system of non-linear equations.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 7077
MIT OpenCourseWare

MATLAB solves nonlinear equations either symbolically or numerically with solvers such as "fsolve". This example demonstrates how to obtain a solution to sets of nonlinear equations.

Views: 67302
APMonitor.com

Shows how to determine the fixed points and their linear stability of a first-order nonlinear differential equation.
Free books:
http://bookboon.com/en/differential-equations-with-youtube-examples-ebook
http://www.math.ust.hk/~machas/differential-equations.pdf

Views: 5537
Jeffrey Chasnov

I calculate the inverse of the Jacobian. You can also use cramer's rule to solve this kind of question but it is more time consuming.
Below is a Matlab code created by Carlos Vicente Dominguez, Specialization in Power Systems graduate student at Universidad Central de Venezuela. Thank you Carlos!
%This program solves a system of 2 nonlinear equations
%Method of Newton-Raphson of Laura Soriano's video
format long
%Size of matrices used
J=zeros(2,2);
B=zeros(2,1);
x=zeros(16,1);
y=zeros(16,1);
DELTA=zeros(2,1);
MM=zeros(16,1);
%Data
%Initial guess
x(1)=1;
y(1)=1;
%Data
%Error of approximation
error=0.0001;
disp('Results of Method of Newton-Raphson from video of Laura Soriano');
disp('The initial guess is:');
disp('x(0)=');
disp(x(1));
disp('y(0)=');
disp(y(1));
n=15;
for k=1:n
%Data
%System of nonlinear equations
f1=4*x(k)^2-y(k)^3+28;
f2=3*x(k)^3+4*y(k)^2-145;
B=[f1; f2];
%Data
%Jacobian matrix
J(1,1)=+8*x(k);
J(1,2)=-3*y(k)^2;
J(2,1)=+9*x(k)^2;
J(2,2)=+8*y(k);
DELTA = -inv(J)*B;
x(k+1)=x(k)+DELTA(1,1);
y(k+1)=y(k)+DELTA(2,1);
disp(sprintf('Results of iteration number %1.0f',k));
disp(sprintf('x(%1.0f)=',k));
disp(x(k+1));
disp(sprintf('y(%1.0f)=',k));
disp(y(k+1));
%Formula of the mismatch used
MM(k+1) = ((x(k+1)-x(k))^2+(y(k+1)-y(k))^2)^0.5;
if MM(k+1) < error
disp(sprintf('The mismatch was less than the error of approximation at iteration number %1.0f', k));
disp('The last mismatch was=');
disp(MM(k+1));
disp('The error of approximation was set at=');
disp(error);
disp('Values of x=');
disp(x);
disp('Values of y=');
disp(y);
disp('Values of mismatch=');
disp(MM);
disp('This program was designed by Carlos V. Dominguez, student of specialization in electric power systems at Universidad Central de Venezuela.')
format short
break
else
end
if k==10
disp(sprintf('This program has made %1.0f iterations and has not reached any solution. Change the initial guess or change the value of the error of approximation.',k))
disp('This program was designed by Carlos V. Dominguez, student of specialization in electric power systems at Universidad Central de Venezuela.')
format short
break
else
end
end

Views: 162207
Laura Soriano

Advanced Control System Design by Radhakant Padhi, Department of Aerospace Engineering, IISC Bangalore For more details on NPTEL visit http://nptel.iitm.ac.in

Views: 18094
nptelhrd

Nonlinear Dynamical Systems by Prof. Harish K. Pillai and Prof. Madhu N.Belur,Department of Electrical Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in

Views: 137692
nptelhrd

See and learn how to solve algebraic and transcendental equations by bisector and regula falsi method.

Views: 29294
M1M2M3NOTES

As autonomous systems are deployed in increasingly complex and uncertain environments, safe and accurate feedback control techniques are required to ensure reliable operation. Accurate trajectory tracking is essential to complete a variety of tasks, but this may be difficult if the system's dynamics change online, e.g., due to environmental effects or hardware degradation. As a result, uncertainty mitigation techniques are also necessary to ensure safety and accuracy. However, this is particularly difficult for small, agile systems, such as micro aerial vehicles (MAVs), which have severely limited computation due to size, weight, and power restrictions but require high-rate feedback control to maintain stability. In this talk, I will present a computationally-efficient, Nonlinear Model Predictive Control strategy that enables accurate and reliable operation in the presence of unmodeled system dynamics while ensuring safety via constraint satisfaction. This technique uses past experiences to inform an online-updated estimate of the system dynamics model and the choice of controller for a given scenario, thereby reducing online computation and enhancing control performance. We demonstrate the safety and accuracy of this high-rate, constrained, adaptive controller via hardware-in-the-loop simulations and experimental studies with a small quadrotor MAV.
See more on this video at https://www.microsoft.com/en-us/research/video/safe-efficient-adaptive-predictive-control-constrained-nonlinear-systems/

Views: 628
Microsoft Research

This video lecture " Bisection Method in Hindi" will help Engineering and Basic Science students to understand following topic of of Engineering-Mathematics:
1. concept and working rule of Bisection method
2. one solved example
soon we will upload next video.
For any query and feedback, please write us at:
[email protected]
OR call us at: +919301197409(Hike number)
For latest updates subscribe our channel " Bhagwan Singh Vishwakarma" or join us on Facebook "Maths Bhopal"...

Views: 391393
Bhagwan Singh Vishwakarma

Most of Researcher plays with Nonlinear Ordinary Differential equation. In this video, I compare the ode, bvp solvers of MATLAB with dsolve solver of MAPLE.
Your comments are Welcome.

Views: 18098
Scientific Rana

Newton Raphson Method with Example ll Find the Roots of the Equations ll GATE 2019
Download PDF notes here
https://goo.gl/8BcxaZ
For More update about GATE 2019 News follow below link
http://www.gatexplore.com/
Topics Covered in this video
1) Concept of Newton Raphson method
2) Step/Procedure of Newton Raphson method
3) Problem on Newton Raphson Method
4) Solved Problem
5) Intermediate value theorem
6) Newton Raphson PDF
7) Solved Example of Newton Raphson Method
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Views: 23097
GATE Lectures by Dishank

ME564 Lecture 7
Engineering Mathematics at the University of Washington
Eigenvalues, eigenvectors, and dynamical systems
Notes: http://faculty.washington.edu/sbrunton/me564/pdf/L06.pdf
Matlab code: http://faculty.washington.edu/sbrunton/me564/matlab/L05_ode45.m
Course Website: http://faculty.washington.edu/sbrunton/me564/
http://faculty.washington.edu/sbrunton/

Views: 5116
Steve Brunton

नमस्कार
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TECHNICAL KRANTI

Views: 27
A. Rhoswen

Wen Shen, Penn State University.
Lectures are based on my book: "An Introduction to Numerical Computation", published by World Scientific, 2016. See promo video: https://youtu.be/MgS33HcgA_I

Views: 3897
wenshenpsu

Nonlinear Dynamical Systems by Prof. Harish K. Pillai and Prof. Madhu N.Belur,Department of Electrical Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in

Views: 51354
nptelhrd

See the full course: https://goo.gl/9qB4CV
Follow along with the course eBook: https://goo.gl/wQahvk
A phase transition is the transformation of a system from one state to another through a period of rapid change. The classical example of this is the transition between solid, liquid and gaseous states that water passes through given some change in temperature, phase transitions are another hallmark of nonlinear systems. In this module we discuss the concept in tandem with its counterpart bifurcation theory.
Produced by: http://complexitylabs.io
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Transcription excerpt:
Bifurcations & Phase transitions
As we have previously discussed the qualitative dynamic behavior of nonlinear systems is largely defined by the positive and negative feedback loops that regulate their development, with negative feedback working to dampen down or constrain change to a linear progression, while positive feedback works to amplify change typically in an super-linear fashion.
As opposed to negative feedback where we get a gradual and often stable development over a prolonged period of time, what we might call a normal or equilibrium state of development, positive feedback is characteristic of a system in a state of nonequilibrium. Positive feedback development is fundamentally unsustainable because all systems in reality exist in an environment that will ultimately place a limit on this grown.
From this we can see how the exponential grow enabled by positive feedback loops is what we might say special, it can only exist for a relatively brief period of time, when we look around us we see the vast majority of things are in a stable configuration constrained by some negative feedback loop whether this is the law of gravity, predator prey dynamics or the economic laws of having to get out of bed and go to work every day. These special periods of positive feedback development are characteristic and a key diver of what we call phase transitions.
A phase transition may be defined as some smooth, small change in a quantitative input variable that results in a qualitative change in the system’s state. The transition of ice to steam is one example of a phase transition. At some critical temperature a small change in the systems input temperature value results in a systemic change in the substance after which it is governed by a new set of parameters and properties, for example we can talk about cracking ice but not water, or we can talk about the viscosity of a liquid but not a gas as these are in different phases under different physical regimes and thus we describe them with respect to different parameters.
Another example of a phase transition may be the changes within a colony of bacteria that when we change the heat and nutrient input to the system we change the local interactions between the bacteria and get a new emergent structure to the colony, although this change in input value may only be a linear progression it resulted in a qualitatively different pattern emerging on the macro level of the colony. It is not simply that a new order or structure has emerged but the actual rules that govern the system change and thus we use the word regime and talk about it as a regime shift, as some small changes in a parameter that affected the system on the local level leads to different emergent structures that then feedback to define a different regime that the elements now have to operate under.
Another way of talking about this is in the language of bifurcation theory, whereas with phase transitions we are talking about qualitative changes in the properties of the system, bifurcation theory really talks about how a small change in parameter can causes a topological change in a system’s environment resulting in new attractor states emerging. A bifurcation means a branching, in this case we are talking about a point where the future trajectory of an element in the system divides or branches out, as new attractor states emerge, from this critical point it can go in two different trajectories which are the product of these attractors, each branch represents a trajectory into a new basin of attraction with a new regime and equilibrium.

Views: 12790
Complexity Labs

https://goo.gl/84ETa1 for more FREE video tutorials covering Structural Analysis.

Views: 945
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© 2019 Market leader intermediate business english course book david cotton

The investment world is changing constantly, which means you must update your knowledge continually. Rather than being satisfied with what you already know, keep on learning . Tools and tips. Investment Portfolio Management. Investment Portfolio Management is the art of putting together and managing various investments to meet specific goals. We will examine management strategy choices, asset allocation and investing strategies, and management of risk as they pertain to management of an investment portfolio. Management Strategies. Passive Management. Passive management is for investors willing to accept market returns. Using a fixed asset allocation with a portfolio comprised of index funds would be examples of passive management. Active Management. Asset Allocation Strategies. Strategic Asset Allocation.