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"optimal control theory"

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https://www.readbyqxmd.com/read/28222162/optimal-combinations-of-control-strategies-and-cost-effective-analysis-for-visceral-leishmaniasis-disease-transmission
#1
Santanu Biswas, Abhishek Subramanian, Ibrahim M ELMojtaba, Joydev Chattopadhyay, Ram Rup Sarkar
Visceral leishmaniasis (VL) is a deadly neglected tropical disease that poses a serious problem in various countries all over the world. Implementation of various intervention strategies fail in controlling the spread of this disease due to issues of parasite drug resistance and resistance of sandfly vectors to insecticide sprays. Due to this, policy makers need to develop novel strategies or resort to a combination of multiple intervention strategies to control the spread of the disease. To address this issue, we propose an extensive SIR-type model for anthroponotic visceral leishmaniasis transmission with seasonal fluctuations modeled in the form of periodic sandfly biting rate...
2017: PloS One
https://www.readbyqxmd.com/read/28186203/web-malware-spread-modelling-and-optimal-control-strategies
#2
Wanping Liu, Shouming Zhong
The popularity of the Web improves the growth of web threats. Formulating mathematical models for accurate prediction of malicious propagation over networks is of great importance. The aim of this paper is to understand the propagation mechanisms of web malware and the impact of human intervention on the spread of malicious hyperlinks. Considering the characteristics of web malware, a new differential epidemic model which extends the traditional SIR model by adding another delitescent compartment is proposed to address the spreading behavior of malicious links over networks...
February 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28166308/optimal-control-and-cost-effective-analysis-of-malaria-visceral-leishmaniasis-co-infection
#3
Folashade B Agusto, Ibrahim M ELmojtaba
In this paper, a deterministic model involving the transmission dynamics of malaria/visceral leishmaniasis co-infection is presented and studied. Optimal control theory is then applied to investigate the optimal strategies for curtailing the spread of the diseases using the use of personal protection, indoor residual spraying and culling of infected reservoirs as the system control variables. Various combination strategies were examined so as to investigate the impact of the controls on the spread of the disease...
2017: PloS One
https://www.readbyqxmd.com/read/28113535/discrete-time-nonzero-sum-games-for-multiplayer-using-policy-iteration-based-adaptive-dynamic-programming-algorithms
#4
Huaguang Zhang, He Jiang, Chaomin Luo, Geyang Xiao
In this paper, we investigate the nonzero-sum games for a class of discrete-time (DT) nonlinear systems by using a novel policy iteration (PI) adaptive dynamic programming (ADP) method. The main idea of our proposed PI scheme is to utilize the iterative ADP algorithm to obtain the iterative control policies, which not only ensure the system to achieve stability but also minimize the performance index function for each player. This paper integrates game theory, optimal control theory, and reinforcement learning technique to formulate and handle the DT nonzero-sum games for multiplayer...
October 3, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28092262/vocal-development-in-a-waddington-landscape
#5
Yayoi Teramoto, Daniel Y Takahashi, Philip Holmes, Asif A Ghazanfar
Vocal development is the adaptive coordination of the vocal apparatus, muscles, the nervous system, and social interaction. Here, we use a quantitative framework based on optimal control theory and Waddington's landscape metaphor to provide an integrated view of this process. With a biomechanical model of the marmoset monkey vocal apparatus and behavioral developmental data, we show that only the combination of the developing vocal tract, vocal apparatus muscles and nervous system can fully account for the patterns of vocal development...
January 16, 2017: ELife
https://www.readbyqxmd.com/read/28088150/optimal-orientation-of-an-asymmetric-top-molecule-with-terahertz-pulses
#6
L H Coudert
Terahertz pulses effects are investigated in an asymmetric top C2v molecule using numerical simulations. The average value of the direction cosine ΦZx is computed solving the time dependent Schrödinger equation for several types of pulses. The H2S molecule taken as a test case is first subject to two short terahertz pulses with a duration smaller than 5 ps, an identical maximum value of the electric field of 2 MV/cm, but a different shape. The thermal average ⟨⟨ΦZx⟩⟩ is calculated for several temperatures, and non-periodic time variations are found even for the lowest temperature...
January 14, 2017: Journal of Chemical Physics
https://www.readbyqxmd.com/read/27989799/quantum-like-model-of-partially-directed-evolution
#7
REVIEW
Alexey V Melkikh, Andrei Khrennikov
The background of this study is that models of the evolution of living systems are based mainly on the evolution of replicators and cannot explain many of the properties of biological systems such as the existence of the sexes, molecular exaptation and others. The purpose of this study is to build a complete model of the evolution of organisms based on a combination of quantum-like models and models based on partial directivity of evolution. We also used optimal control theory for evolution modeling. We found that partial directivity of evolution is necessary for the explanation of the properties of an evolving system such as the stability of evolutionary strategies, aging and death, the presence of the sexes...
December 15, 2016: Progress in Biophysics and Molecular Biology
https://www.readbyqxmd.com/read/27926436/to-work-or-not-to-work-neural-representation-of-cost-and-benefit-of-instrumental-action
#8
N B Kroemer, C Burrasch, L Hellrung
By definition, instrumental actions are performed in order to obtain certain goals. Nevertheless, the attainment of goals typically implies obstacles, and response vigor is known to reflect an integration of subjective benefit and cost. Whereas several brain regions have been associated with cost/benefit ratio decision-making, trial-by-trial fluctuations in motivation are not well understood. We review recent evidence supporting the motivational implications of signal fluctuations in the mesocorticolimbic system...
2016: Progress in Brain Research
https://www.readbyqxmd.com/read/27864095/optimization-of-an-in-vitro-chemotherapy-to-avoid-resistant-tumours
#9
Cécile Carrère
Chemotherapy use against solid tumours often results in the resistance of the cancer cells to the molecule used. In this paper, we will set up and analyse an ODE model for heterogeneous in vitro tumours, consisting of cells that are sensitive or resistant to a certain drug. We will then use this model to develop different protocols, that aim at reducing the tumour volume while preserving its heterogeneity. These drug administration schedules are determined through analysis of the system dynamics, and optimal control theory...
January 21, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/27725688/optimal-control-of-complex-atomic-quantum-systems
#10
S van Frank, M Bonneau, J Schmiedmayer, S Hild, C Gross, M Cheneau, I Bloch, T Pichler, A Negretti, T Calarco, S Montangero
Quantum technologies will ultimately require manipulating many-body quantum systems with high precision. Cold atom experiments represent a stepping stone in that direction: a high degree of control has been achieved on systems of increasing complexity. However, this control is still sub-optimal. In many scenarios, achieving a fast transformation is crucial to fight against decoherence and imperfection effects. Optimal control theory is believed to be the ideal candidate to bridge the gap between early stage proof-of-principle demonstrations and experimental protocols suitable for practical applications...
October 11, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27713655/quantifying-uncertainty-in-partially-specified-biological-models-how-can-optimal-control-theory-help-us
#11
M W Adamson, A Y Morozov, O A Kuzenkov
Mathematical models in biology are highly simplified representations of a complex underlying reality and there is always a high degree of uncertainty with regards to model function specification. This uncertainty becomes critical for models in which the use of different functions fitting the same dataset can yield substantially different predictions-a property known as structural sensitivity. Thus, even if the model is purely deterministic, then the uncertainty in the model functions carries through into uncertainty in model predictions, and new frameworks are required to tackle this fundamental problem...
September 2016: Proceedings. Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/27176250/feedback-control-of-waiting-times
#12
Tobias Brandes, Clive Emary
Feedback loops are known as a versatile tool for controlling transport in small systems, which usually have large intrinsic fluctuations. Here we investigate the control of a temporal correlation function, the waiting-time distribution, under active and passive feedback conditions. We develop a general formalism and then specify to the simple unidirectional transport model, where we compare costs of open-loop and feedback control and use methods from optimal control theory to optimize waiting-time distributions...
April 2016: Physical Review. E
https://www.readbyqxmd.com/read/27143501/controlling-open-quantum-systems-tools-achievements-and-limitations
#13
Christiane P Koch
The advent of quantum devices, which exploit the two essential elements of quantum physics, coherence and entanglement, has sparked renewed interest in the control of open quantum systems. Successful implementations face the challenge of preserving relevant nonclassical features at the level of device operation. A major obstacle is decoherence, which is caused by interaction with the environment. Optimal control theory is a tool that can be used to identify control strategies in the presence of decoherence...
June 2, 2016: Journal of Physics. Condensed Matter: An Institute of Physics Journal
https://www.readbyqxmd.com/read/27131527/time-optimal-excitation-of-maximum-quantum-coherence-physical-limits-and-pulse-sequences
#14
S S Köcher, T Heydenreich, Y Zhang, G N M Reddy, S Caldarelli, H Yuan, S J Glaser
Here we study the optimum efficiency of the excitation of maximum quantum (MaxQ) coherence using analytical and numerical methods based on optimal control theory. The theoretical limit of the achievable MaxQ amplitude and the minimum time to achieve this limit are explored for a set of model systems consisting of up to five coupled spins. In addition to arbitrary pulse shapes, two simple pulse sequence families of practical interest are considered in the optimizations. Compared to conventional approaches, substantial gains were found both in terms of the achieved MaxQ amplitude and in pulse sequence durations...
April 28, 2016: Journal of Chemical Physics
https://www.readbyqxmd.com/read/26932466/input-estimation-for-drug-discovery-using-optimal-control-and-markov-chain-monte-carlo-approaches
#15
Magnus Trägårdh, Michael J Chappell, Andrea Ahnmark, Daniel Lindén, Neil D Evans, Peter Gennemark
Input estimation is employed in cases where it is desirable to recover the form of an input function which cannot be directly observed and for which there is no model for the generating process. In pharmacokinetic and pharmacodynamic modelling, input estimation in linear systems (deconvolution) is well established, while the nonlinear case is largely unexplored. In this paper, a rigorous definition of the input-estimation problem is given, and the choices involved in terms of modelling assumptions and estimation algorithms are discussed...
April 2016: Journal of Pharmacokinetics and Pharmacodynamics
https://www.readbyqxmd.com/read/26890347/optimal-schedules-in-multitask-motor-learning
#16
Jeong Yoon Lee, Youngmin Oh, Sung Shin Kim, Robert A Scheidt, Nicolas Schweighofer
Although scheduling multiple tasks in motor learning to maximize long-term retention of performance is of great practical importance in sports training and motor rehabilitation after brain injury, it is unclear how to do so. We propose here a novel theoretical approach that uses optimal control theory and computational models of motor adaptation to determine schedules that maximize long-term retention predictively. Using Pontryagin's maximum principle, we derived a control law that determines the trial-by-trial task choice that maximizes overall delayed retention for all tasks, as predicted by the state-space model...
April 2016: Neural Computation
https://www.readbyqxmd.com/read/26796222/optimal-control-with-multiple-human-papillomavirus-vaccines
#17
Tufail Malik, Mudassar Imran, Raja Jayaraman
A two-sex, deterministic ordinary differential equations model for human papillomavirus (HPV) is constructed and analyzed for optimal control strategies in a vaccination program administering three types of vaccines in the female population: a bivalent vaccine that targets two HPV types and provides longer duration of protection and cross-protection against some non-target types, a quadrivalent vaccine which targets an additional two HPV types, and a nonavalent vaccine which targets nine HPV types (including those covered by the quadrivalent vaccine), but with lesser type-specific efficacy...
March 21, 2016: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/26715209/direct-methods-for-predicting-movement-biomechanics-based-upon-optimal-control-theory-with-implementation-in-opensim
#18
Sina Porsa, Yi-Chung Lin, Marcus G Pandy
The aim of this study was to compare the computational performances of two direct methods for solving large-scale, nonlinear, optimal control problems in human movement. Direct shooting and direct collocation were implemented on an 8-segment, 48-muscle model of the body (24 muscles on each side) to compute the optimal control solution for maximum-height jumping. Both algorithms were executed on a freely-available musculoskeletal modeling platform called OpenSim. Direct collocation converged to essentially the same optimal solution up to 249 times faster than direct shooting when the same initial guess was assumed (3...
August 2016: Annals of Biomedical Engineering
https://www.readbyqxmd.com/read/26676356/optimal-control-for-an-age-structured-model-for-the-transmission-of-hepatitis-b
#19
Ramses Djidjou Demasse, Jean-Jules Tewa, Samuel Bowong, Yves Emvudu
One of the characteristics of HBV transmission is the age structure of the host population and the vertical transmission of the disease. That is the infection is transmitted directly from infected mother to an embryo, fetus, or baby during pregnancy or childbirth (the perinatal infection). We formulated an age-structured model for the transmission dynamics of HBV with differential infectivity: symptomatic and asymptomatic infections. The model without intervention strategies is completely analyzed. We compute the basic reproduction number which determines the outcome of the disease...
August 2016: Journal of Mathematical Biology
https://www.readbyqxmd.com/read/26655362/new-developments-in-the-application-of-optimal-control-theory-to-therapeutic-protocols
#20
L Bayón, J A Otero, P M Suárez, C Tasis
Optimal control theory is one of the most important tools in the development of new therapeutic protocols for treating infections. In this work, we present an algorithm able to deal with high-dimensional problems with bounded controls. The optimal solution is obtained by minimizing a positive-definite treatment cost function. Our method, based on Pontryagin's Minimum Principle and the coordinate cyclic descent method, allows solving problems of varied nature. In this paper, and by way of example, therapeutic enhancement of the immune response to invasion by pathogenic attack is addressed as an optimal control problem...
February 2016: Mathematical Biosciences
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