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Math Help - Optimal Control Problem: Constrained Optimzation with Fixed Endpoints

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    Optimal Control Problem: Constrained Optimzation with Fixed Endpoints

    Hi. This is a problem I'm having hard time solving.
    The following "autonomous" optimization problem can also be solved using Calculus of Variations, but I prefer the Optimal Control approach:
    Determine x=x(t) solving max\int_{0}^{2}(x-\dot{x})dt subject to \dot{x}\in [0,1]  and x(0)=0 and x(2)=1, where \dot{x}=\frac{dx}{dt}.
    Now in optimal control theory, the conventional approach to solve such a Bounded problem is to put u=\dot{x} as the control variable and x as the state variable and recast the problem as below:
    max\int_{0}^{2}(x-u)dt, subject to 0 \leq u \leq 1 and x(0)=0 and x(2)=1.
    Then form the Lagrangian: L=(x-u)+ \lambda u+ \mu _{1}(1-u)+\mu _{2}(u-0)

    But, instead, I decided to have a look on the unbounded version of the same u. In other words, initially, I tried to solve the same problem in a way as if there were no limits on the amount of u. Hence, instead of the Lagriangian, I found the Hamiltonian as below:

    H=(x-u)+ \lambda u and then applying the optimality conditions, we'll have:
    (I) \frac{\partial H}{\partial u}=-1+ \lambda=0\Rightarrow \lambda=1

    (II) \frac{-\partial H}{\partial x}={\lambda}'(t)\Rightarrow -1={\lambda}'(t)\Rightarrow \lambda=-t+constant

    Since I and II yield two different \lambdas, one independent of time and the other, a linear function of t, I concluded that the unbounded version of the initial problem has no solution.
    Now, question is: can I also conclude that since there is no solution for an unbounded u, a fortiori, there is no bounded control, u, that can satisfy the given conditions?
    A classmate of mine suggested that there is a solution for the original problem and that I should be looking for a discontinuous "Bang Bang Control" solution, but I'm not convinced that my argument is incorrect. (And, if there is a "Bang Bang" control, satisfying the given constraints, how am I supposed to find it?)
    Any help will be appreciated.
    Last edited by Neutriiino; January 27th 2014 at 08:23 AM.
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