Optimal Control Theory and Grants in Aid

The methodology of optimal control theory is used to highlight some of the current policy issues raised in the United Kingdom by the central government's allocation of grants to local authorities. It is shown that there is a link between the number of policy variables and targets and the freedom of action of individual local authorities. One consequence of current policy is shown to be that it makes optimal control theory an even more relevant tool for the analysis of the rate support grant system. Another is that the demise of local control appears to be the logical outcome in the long run.

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Optimal Control Theory and its Applications

10.1007/978-3-662-01569-8 ◽

1974 ◽

Keyword(s):

Optimal Control ◽

Control Theory ◽

Optimal Control Theory

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Dispersion of nanoparticles with optimal control theory based on destabilization

IEICE Proceeding Series ◽

10.15248/proc.2.86 ◽

2014 ◽

Vol 2 ◽

pp. 86-86

Author(s):

Miki U. Kobayashi ◽

Nobuaki Aoki ◽

Noriyoshi Manabe ◽

Tadafumi Adschiri

Keyword(s):

Optimal Control ◽

Control Theory ◽

Optimal Control Theory ◽

Dispersion Of Nanoparticles

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Recent Developments in Probabilistic Approaches to Optimal Control Theory

10.23919/acc.1988.4790007 ◽

1988 ◽

Author(s):

Hagop V. Panossian

Keyword(s):

Optimal Control ◽

Control Theory ◽

Optimal Control Theory ◽

Recent Developments

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Recoil control of deepwater drilling riser system based on optimal control theory

Ocean Engineering ◽

10.1016/j.oceaneng.2020.108473 ◽

2020 ◽

pp. 108473

Author(s):

Xiuquan Liu ◽

Zhaowei Liu ◽

Xianglei Wang ◽

Nan Zhang ◽

Na Qiu ◽

...

Keyword(s):

Optimal Control ◽

Control Theory ◽

Optimal Control Theory ◽

Deepwater Drilling

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Optimal Control for a COVID-19 Model Accounting for Symptomatic and Asymptomatic

Computational and Mathematical Biophysics ◽

10.1515/cmb-2020-0109 ◽

2020 ◽

Vol 8 (1) ◽

pp. 168-179

Author(s):

Jead M. Macalisang ◽

Mark L. Caay ◽

Jayrold P. Arcede ◽

Randy L. Caga-anan

Keyword(s):

Optimal Control ◽

Control Theory ◽

Medical Care ◽

Optimal Control Theory ◽

Comparable Result ◽

Type Model ◽

Hospital Beds ◽

Transmission Reduction ◽

Bed Capacity ◽

The Government

AbstractBuilding on an SEIR-type model of COVID-19 where the infecteds are further divided into symptomatic and asymptomatic, a system incorporating the various possible interventions is formulated. Interventions, also referred to as controls, include transmission reduction (e.g., lockdown, social distancing, barrier gestures); testing/isolation on the exposed, symptomatic and asymptomatic compartments; and medical controls such as enhancing patients’ medical care and increasing bed capacity. By considering the government’s capacity, the best strategies for implementing the controls were obtained using optimal control theory. Results show that, if all the controls are to be used, the more able the government is, the more it should implement transmission reduction, testing, and enhancing patients’ medical care without increasing hospital beds. However, if the government finds it very difficult to implement the controls for economic reasons, the best approach is to increase the hospital beds. Moreover, among the testing/isolation controls, testing/isolation in the exposed compartment is the least needed when there is significant transmission reduction control. Surprisingly, when there is no transmission reduction control, testing/isolation in the exposed should be optimal. Testing/isolation in the exposed could seemingly replace the transmission reduction control to yield a comparable result to that when the transmission reduction control is being implemented.

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