“…The impulse effects occur in a host of dynamic problems such as, physics, population dynamics, ecology, industrial robotic, pharmacokinetics, optimal control (see, for example, [1,4,21,22,30,33]). …”
Section: Y(t) X Dtmentioning
confidence: 99%
“…It is known that a prey-predator system and a Human Immunodeficiency Virus (HIV) treatment problem can be formulated as an impulsive differential equation with impulses at fixed time (see, for example, [20,21] and the references therein).…”
“…The impulse effects occur in a host of dynamic problems such as, physics, population dynamics, ecology, industrial robotic, pharmacokinetics, optimal control (see, for example, [1,4,21,22,30,33]). …”
Section: Y(t) X Dtmentioning
confidence: 99%
“…It is known that a prey-predator system and a Human Immunodeficiency Virus (HIV) treatment problem can be formulated as an impulsive differential equation with impulses at fixed time (see, for example, [20,21] and the references therein).…”
“…For example many control problems in queueing theory, population dynamics, mathematical epidemiology, financial mathematics etc can be formulated as the impulsively controlled systems: see Hordijk and van der Duyn Schouten (1983), Hou and Wong (2011), Korn (1999), Palczewski and Stettner (2007), Piunovskiy (2004), Xiao et al (2006) and the references therein. Roughly speaking, an impulse (or intervention) means the instant change of the state of the system.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, it is possible to adjust the dynamic programming method for such models: see Bardi and Capuzzo-Dolcetta (1997), Bensoussan and Lions (1984), Christensen (2014), Davis (1993), Motta and Rampazzo (1996), Yushkevich (1989). The Pontryagin maximum principle (or the closely related Lagrangian approach) can also be used for solving impulsive optimal control problems: see Dufour and Miller (2007), Hou and Wong (2011), Miller and Rubinovich (2003), Taringoo and Caines (2013), Xiao et al (2006).…”
Section: Introductionmentioning
confidence: 99%
“…In the current paper, we consider deterministic models similar to those investigated in Bardi and Capuzzo-Dolcetta (1997), Hou and Wong (2011), Miller and Rubinovich (2003), Motta and Rampazzo (1996), Taringoo and Caines (2013), Xiao et al (2006). Note that in Hou and Wong (2011), Miller and Rubinovich (2003), Motta and Rampazzo (1996), Taringoo and Caines (2013) only the finite-horizon case was studied.…”
We investigate infinite horizon deterministic optimal control problems with both gradual and impulsive controls, where any finitely many impulses are allowed simultaneously. Both discounted and long run time average criteria are considered. We establish very general and at the same time natural conditions, under which the dynamic programming approach results in an optimal feedback policy. The established theoretical results are applied to the Internet congestion control, and by solving analytically and nontrivially the underlying optimal control problems, we obtain a simple threshold-based active queue management scheme, which takes into account the main parameters of the transmission control protocols, and improves the fairness among the connections in a given network.
Summary
Based on our recent results on the optimal impulse control, we solve explicitly an optimal isolation problem for a specific SIR (susceptible‐infective‐removed) epidemic model describing, eg, the spread of AIDS.
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