2010
DOI: 10.1016/j.sysconle.2009.11.002
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A simplification of the Agrachev–Gamkrelidze second-order variation for bang–bang controls

Abstract: We consider an expression for the second-order variation (SOV) of bang-bang controls derived by Agrachev and Gamkrelidze. The SOV plays an important role in both necessary and sufficient second-order optimality conditions for bang-bang controls. These conditions are stronger than the one provided by the first-order Pontryagin maximum principle (PMP). For a bang-bang control with k switching points, the SOV contains k(k + 1)/2 Lie-algebraic terms. We derive a simplification of the SOV by relating k of these ter… Show more

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Cited by 8 publications
(3 citation statements)
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“…The calculation of the terms z 1 and z 2 in ( 27) requires two steps. The first is to derive an expression for the first-and second-order derivative of C(T ; s, α) with respect to s. This is based on the Agrachev-Gamkrelidze second-order variation for bang-bang controls [39] (see also [42], [43]). The second step is to derive an expression for the first-and second-order derivatives of the spectral radius of a matrix with respect to perturbations of the matrix entries.…”
Section: B Proof Of Theoremmentioning
confidence: 99%
“…The calculation of the terms z 1 and z 2 in ( 27) requires two steps. The first is to derive an expression for the first-and second-order derivative of C(T ; s, α) with respect to s. This is based on the Agrachev-Gamkrelidze second-order variation for bang-bang controls [39] (see also [42], [43]). The second step is to derive an expression for the first-and second-order derivatives of the spectral radius of a matrix with respect to perturbations of the matrix entries.…”
Section: B Proof Of Theoremmentioning
confidence: 99%
“…These include the Pontrayagin maximum principle (PMP) and, in some cases, the Hamilton-Jacobi-Bellman equation [34,22]. The variational approach allows the application of sophisticated and powerful tools, such as first-and higher-orders maximum principles [1,12,42] to stability analysis. Some of the results can be generalized to nonlinear control systems and nonlinear switched systems.…”
Section: Problem 1 Find a Controlmentioning
confidence: 99%
“…. , u(0)} defined by u(q) = u * (q) for q odd, and u(l) = It is straightforward to verify that u steers the auxiliary system to the same final location as in (42) at time N − 1, i.e. y(N − 1; u) = y * (N ).…”
Section: Proposition 6 Suppose That For Anymentioning
confidence: 99%