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The problem in the image involves a system of interconnected inverted pendulums on carts, with a given set of parameters. Here’s a breakdown of the steps required to approach each part of the problem:

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### Problem Analysis:

1. **System Information:**
   - We have three inverted pendulums on three carts, each connected by springs and dampers.
   - The parameters of the system are:
     - **M** (mass of each cart) = 2 kg
     - **m** (mass of each pendulum) = 0.21 kg
     - **L** (length of each pendulum) = 0.21 m
     - **c1, c2** (damping coefficients) = 0.06 Ns/m
     - **k1, k2** (spring constants) = 1 N/m

2. **Questions:**
   - **(a)** Determine the degrees of freedom (DOF) and derive the equations of motion using the Lagrange method.
   - **(b)** Linearize the system around the equilibrium and find the state-space representation.
   - **(c)** Find the zero-input response for an arbitrary initial condition.
   - **(d)** Write a MATLAB function to plot the animation of the motion.

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### Solution Outline:

#### (a) Degrees of Freedom and Equations of Motion
   - **Degrees of Freedom:** 
     - Each cart has translational motion along one axis (horizontal), and each pendulum has angular motion about its pivot. With three carts and three pendulums, there are likely six degrees of freedom in the system.
   - **Lagrange’s Equations:**
     - Define the kinetic and potential energy of each cart and pendulum.
     - Use \( T = \) Total Kinetic Energy and \( V = \) Total Potential Energy.
     - The generalized coordinates could be \( x_1, x_2, x_3 \) (horizontal positions of carts) and \( \theta_1, \theta_2, \theta_3 \) (angles of pendulums).
     - Apply Lagrange’s equation:  
       \[
       \frac{d}{dt} \left( \frac{\partial L}{\partial \dot{q}_i} \right) - \frac{\partial L}{\partial q_i} = Q_i
       \]
       where \( L = T - V \) and \( Q_i \) are generalized forces.

#### (b) Linearization and State-Space Representation
   - Linearize the equations obtained in part (a) around the equilibrium point (usually where the pendulums are upright and stationary).
   - Represent the system in state-space form:
     \[
     \dot{X} = AX + BU
     \]
     \[
     Y = CX + DU
     \]
     where \( X \) is the state vector representing positions and velocities of the carts and pendulum angles.

#### (c) Zero-Input Response
   - Solve the homogeneous system \( \dot{X} = AX \) with an initial condition \( X(0) = X_0 \).
   - This involves finding the system’s natural response using the eigenvalues and eigenvectors of matrix \( A \).

#### (d) MATLAB Animation
   - Write a MATLAB function that takes time-series data for the positions and angles of each cart and pendulum.
   - Use `plot` and `line` functions in MATLAB within a loop to animate the interconnected inverted pendulums.

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Would you like further details or help with a specific section of this solution? 

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### Further Questions

1. How would you calculate the kinetic and potential energy expressions for each component?
2. What assumptions might simplify the derivation of the Lagrangian for this system?
3. How can small-angle approximations help in linearizing the system?
4. What MATLAB functions are most useful for animating interconnected systems like this?
5. How would you interpret the physical significance of the eigenvalues in part (c)?

### Tip
In complex mechanical systems, grouping terms by kinetic and potential energies often simplifies the process of deriving the equations of motion using Lagrange's method.

Consider the system of interconnected inverted pendulums with the given parameters. (a) Determine the degrees of freedom and derive the system’s dynamic equations using the Lagrange method. (b) Linearize the system and find the state-space representation. (c) Obtain the zero-input response for an arbitrary initial condition. (d) Write a MATLAB function for animating the system's motion.

Explore the dynamic analysis of interconnected inverted pendulums on carts using Lagrangian mechanics. Learn to derive the equations of motion, linearize the system, find the state-space representation, and implement MATLAB animation for system motion visualization. Parameters include masses, lengths, damping coefficients, and spring constants.

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