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Neurocomputational mechanism of controllability inference under a multi-agent setting
PLoS Computational Biology, 2021 Controllability perception significantly influences motivated behavior and emotion and requires an estimation of one’s influence on an environment. Previous studies have shown that an agent can infer controllability by observing contingency between one’s
Jaejoong Kim +4 more
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Fractal and Fractional, 2021 This paper presents a variational method for studying approximate controllability and infinite-dimensional exact controllability (finite-approximate controllability) for Riemann–Liouville fractional linear/semilinear evolution equations in Hilbert spaces.
Nazim I. Mahmudov
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BMC Ophthalmology, 2023 Background/aims We evaluate the clinical characteristics of intermittent exotropia with controllability and compare surgical outcomes between patients with and without controllability.
Mirae Kim, Hong Kyun Kim, Won Jae Kim
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A Study on Existence and Controllability of Conformable Impulsive Equations
Axioms, 2023 We study the existence/uniqueness of conformable fractional type impulsive nonlinear systems as well as the controllability of linear/semilinear conformable fractional type impulsive controlled systems.
Nazim I. Mahmudov, Gülbahar Akgün
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Effects of Edge Directions on the Structural Controllability of Complex Networks. [PDF]
PLoS ONE, 2015 Recent advances indicate that assigning or reversing edge direction can significantly improve the structural controllability of complex networks. For directed networks, approaching the optimal structural controllability can be achieved by detecting and ...
Yandong Xiao +4 more
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Frontiers in Aging Neuroscience, 2023 BackgroundControllability is a measure of the brain’s ability to orchestrate neural activity which can be quantified in terms of properties of the brain’s network connectivity.
Hamidreza Jamalabadi +27 more
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Learning Control of Quantum Systems [PDF]
In: Baillieul J., Samad T. (eds) Encyclopedia of Systems and
Control. Springer, London (2020), 2021 This paper provides a brief introduction to learning control of quantum systems. In particular, the following aspects are outlined, including gradient-based learning for optimal control of quantum systems, evolutionary computation for learning control of quantum systems, learning-based quantum robust control, and reinforcement learning for quantum ...
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Control of decoherence with no control [PDF]
Scientific Reports, 2013 Common philosophy in control theory is the control of disorder by order. It is not exceptional for strategies suppressing quantum decoherence. Here we predict an anomalous quantum phenomenon. Suppression of decoherence can be made via more disordered white noise field, in particular white Poissonian noise.
Lian-Ao Wu, Jun Jing
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Mathematics, 2023 In this paper, we present a study on mean square approximate controllability and finite-dimensional mean exact controllability for the system governed by linear/semilinear infinite-dimensional stochastic evolution equations.
Nazim I. Mahmudov
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A fractal hypernetwork model with good controllability
AIMS Mathematics, 2021 Fractal is a common feature of many deterministic complex networks. The complex networks with fractal features have interesting structure and good performance. The network based on hypergraph is named hypernetwork.
Xiujuan Ma, Fuxiang Ma , Jun Yin
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