Results 11 to 20 of about 17,625 (308)
Filtering for Nonlinear Genetic Regulatory Networks With Stochastic Disturbances [PDF]
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Zidong Wang 0001 +4 more
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Dynamic Analysis of the Multi-Lingual S2IR Rumor Propagation Model Under Stochastic Disturbances [PDF]
This paper proposes a multi-lingual S2IR rumor propagation model with white noise disturbances, aiming to study its dynamics and stochastic optimal control strategies.
Jinling Wang +4 more
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Stochastic approximation with dependent disturbances—I
The author studies a generalization of the Robbins-Monro procedure when disturbances satisfy a law of large numbers (strong or week) and proves convergence of this stochastic approximation procedure (accordingly, almost surely or in probability). The proofs of results are based on properties of deterministic iterative procedures for seeking zeros of ...
Szab⌈owski, P.J.
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Filtering for a Class of Quantum Systems With Classical Stochastic Disturbances
We present filtering equations for a class of hybrid quantum-classical systems where a quantum optical cavity system is continuously disturbed by a classical linear stochastic process. Another quantum cavity system is employed to describe the classical stochastic process as an analog.
Qi Yu 0006 +4 more
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Adaptive neural tracking control for near-space vehicles with stochastic disturbances
In this article, an adaptive neural tracking controller is designed for near-space vehicles with stochastic disturbances and unknown parametric uncertainties.
Xiaohui Yan +3 more
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Leader-Follower Formation Control of Uncertain USV Networks under Stochastic Disturbances [PDF]
The robust adaptive leader-follower formation control of uncertain unmanned surface vehicles (USVs) subject to stochastic environmental loads is investigated in this paper.
Ali Azarbahram +3 more
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Data-Driven Tube-Based Stochastic Predictive Control
A powerful result from behavioral systems theory known as the fundamental lemma allows for predictive control akin to Model Predictive Control (MPC) for linear time-invariant (LTI) systems with unknown dynamics purely from data.
Sebastian Kerz +4 more
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Most research activities that utilize linear matrix inequality (LMI) techniques are based on the assumption that the separation principle of control and observer synthesis holds.
Andreas Rauh +4 more
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Power system stability is greatly affected by two types of stochastic or random disturbances: (1) topological and (2) parametric. The topological stochastic disturbances due to line faults caused by a series of lightning strikes (associated with circuit ...
Alexander Poznyak +3 more
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This paper presents a predefined-time convergent robust control algorithm that allows the control designer to set the convergence time in advance, independently of initial conditions, deterministic disturbances, and stochastic noises.
Nain de la Cruz, Michael Basin
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