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In this segment, we'll formally
define a dynamical system and
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look at the mathematical models of
some example dynamical systems.
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A dynamical system is a system in
which the effects of input actions
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do not immediately affect the system.
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For example, if you turn on
the thermostat in a cold room,
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the temperature in the room will not
immediately rise to the set temperature.
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It will take some time for
the room to actually heat up.
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Similarly, if you push the gas pedal
in your car, it takes time for
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your car to speed up to
the desired velocity.
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Every dynamical system is defined by its
state, which is a collection of variables
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that completely characterizes
the motion of a system.
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The most common states,
are the positions and
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velocities of physical
components of the system.
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The states of a system are commonly
denoted by the variable x.
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As we've seen in lecture,
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we use the notation x of t to describe
the values of a system's states over time.
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This function x of t
is often characterized
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by a set of governing ordinary
differential equations.
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The order of a system refers to
the highest derivative that appears
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in governing equations.
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In lecture, we analyzed the dynamical
system, x double dot equals u.
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We see that the second derivative of x is
the highest derivative that appears in
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this equation.
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Therefore, x double dot equals u
represents a second order system.
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Next, we'll see a few more
examples of dynamical systems and
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how they are modeled.
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An example of a one-dimensional
dynamical system is a mass on a string.
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The mass can only move backwards and
forwards in the y direction.
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The mass's position is governed by the
following ordinary differential equation.
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We see that the highest
derivative of y to appear
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in the equation is the second derivative,
making this a second order system.
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The state of the system is the position
and velocity of the mass along the y axis.
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The input to this system is
an additional force on the mass.
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Inverted pendulum on a cart is an example
of a two dimensional dynamical system.
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Here, the cart is allowed to
drive along the y direction
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while the pendulum is
simultaneously allowed to fall.
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The motion of this system to be
modeled by the following set
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of coupled ordinary
differential equations.
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We see that once again the second
derivatives of the cart position and
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pendulum angle are the highest
derivatives to appear in the equations,
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making this a second order system.
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There are four states in this system.
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The first two are the positions
of the cart and the pendulum and
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the last two are their velocities.
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The input is an additional
force on the cart itself.
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Here, we assume that we cannot directly
apply a force to the pendulum.
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Finally, considered the Quadrotor.
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In this weeks lecture,
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we only look at the motion of
the Quadrotor in the Z direction.
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As a result, we were able to model
it as a one dimensional system.
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However, it turns out that to completely
characterize a motion of the Quadrotor,
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we need to know its xyz position and
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angular orientation, as well as
its linear and angular velocities.
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We'll talk more about the dynamic
equations of the quadrotor
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in the coming weeks.4994
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