Abstract
This chapter describes general schemes of the Dynamic Programming approach. It introduces the notion of value function and its role in these schemes. They are dealt with under either classical conditions or directional differentiability of related functions, leaving more complicated cases to later chapters. Here the emphasis is on indicating solutions to forward and backward reachability problems for “linear-convex” systems and the design of closed-loop control strategies for optimal target and time-optimal feedback problems.
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Notes
- 1.
The general nondifferentiable case for the value function is discussed later in Sect. 5.1.
- 2.
- 3.
With additional information on \(\mathcal{P}(t)\) (see Remark 1.5.3), in degenerate cases the control u ∗(t) may be written down in more detail.
- 4.
This example is animated in the toolbox [132].
- 5.
A closed set \(\mathcal{Q}\) is said to be reachable in finite time if the intersection \(\mathcal{Q}\cap \mathbf{X}_{+}(t,x)\not =\varnothing \) for some τ > t. Here X +(t, x) is the total (forward) reachability set from position {t, x}.
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Kurzhanski, A.B., Varaiya, P. (2014). The Dynamic Programming Approach. In: Dynamics and Control of Trajectory Tubes. Systems & Control: Foundations & Applications, vol 85. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-10277-1_2
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