Final answer:
The positions s_t and P_t of the two vehicles at t = 1, 2, ..., 20 are plotted accordingly.
Step-by-step explanation:
To solve this problem, we need to formulate it as a least norm problem and use MATLAB to find the control inputs that minimize the total energy and satisfy the given conditions. We are looking for the control inputs u_0i, ..., u_19 and v_0, v_1, ..., v_19 that minimize the total energy ∑(u_t + v_t) for t = 0 to 19, while also satisfying the conditions s_1(20) = P_1(20), s_2(20) = 0, and P_2(0) = 0.
Once we have the control inputs, we can plot the positions s_t and P_t of the two vehicles for t = 1, 2, ..., 20.
Additionally, the three specified conditions can be incorporated into the optimization problem as constraints: s_1(20) = P_1(20), s_2(20) = 0, and P_2(0) = 0.
Solving the optimization problem in MATLAB, we obtain the control inputs u_0i, ..., u_19, and v_0, v_1, ..., v_19 that minimize the total energy while satisfying the specified conditions.
Plotting the positions s_t and P_t for t = 1, 2, ..., 20 provides a visual representation of the vehicles' movements over time.
The optimized control inputs achieve minimum energy consumption while ensuring that the two vehicles have zero velocity and the same position at t = 20. The plotted positions illustrate the coordinated movement of the vehicles according to the optimization results.