2004
DOI: 10.1137/s0363012903424186
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On a Representation of the Limit Occupational Measures Set of a Control System with Applications to Singularly Perturbed Control Systems

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Cited by 50 publications
(77 citation statements)
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“…Linear programming techniques have proved to be very useful in dealing with deterministic and stochastic control problems. A wide literature is available on the subject both in the deterministic and in the stochastic setting ( [1,2,3,4,5,6,7,8]). …”
mentioning
confidence: 99%
“…Linear programming techniques have proved to be very useful in dealing with deterministic and stochastic control problems. A wide literature is available on the subject both in the deterministic and in the stochastic setting ( [1,2,3,4,5,6,7,8]). …”
mentioning
confidence: 99%
“…Introduction and preliminaries. Problems of optimal control of singularly perturbed (SP) systems have been studied intensively in both deterministic and stochastic settings (see [2], [8], [17], [18], [23], [26], [28], [29], [33], [41], [52], [55], [56], [58], [61], [63], [68], [67], [65], [74], [75], [77] for a sample of the literature). Originally, the most common approaches to SP control systems, especially in the deterministic case, were related to an approximation of the slow dynamics by the solutions of the systems obtained via equating of the singular perturbations parameter to zero, with further application of the boundary layer method (see [64], [73]) for an asymptotical description of the fast dynamics.…”
mentioning
confidence: 99%
“…Various averaging type approaches allowing a consideration of more general classes of SP problems, in which the optimal and near optimal controls take the form of rapidly oscillating functions and in which equating of the small parameter to zero does not lead to a right approximation, were studied in [1], [2], [6], [7], [8], [9], [10], [18], [19], [20], [27], [28], [33], [34], [38], [39], [41], [42], [44], [51], [52], [68], [67], [70], [75] (see also references therein). This research lead to a good understanding of what the "true limit" problems, optimal solutions of which approximate optimal solutions of the SP problems, are.…”
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confidence: 99%
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