Results 291 to 300 of about 1,639,808 (340)
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International Journal of Systems Science, 2018
This paper investigates the control issue of uncertain systems in presenting of time-varying delay and stochastic disturbance. The state information is real-timely measured by the sensor and directly sent to an event-trigger, then only necessary data is ...
Yanliang Cui, Lanlan Xu
semanticscholar +1 more source
This paper investigates the control issue of uncertain systems in presenting of time-varying delay and stochastic disturbance. The state information is real-timely measured by the sensor and directly sent to an event-trigger, then only necessary data is ...
Yanliang Cui, Lanlan Xu
semanticscholar +1 more source
On stochastic optimality for a linear controller with attenuating disturbances
Automation and Remote Control, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tatiana A. Belkina +1 more
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IEEE Conference on Decision and Control, 2018
A platoon is a suitable model to study self-operating (e.g., driving or flying) vehicles, where a team of vehicles is lined up in a chain and travel in close proximity of each other. These vehicles form a dynamical network where the objective is to match
C. Somarakis +2 more
semanticscholar +1 more source
A platoon is a suitable model to study self-operating (e.g., driving or flying) vehicles, where a team of vehicles is lined up in a chain and travel in close proximity of each other. These vehicles form a dynamical network where the objective is to match
C. Somarakis +2 more
semanticscholar +1 more source
A stochastic approach to small disturbance stability analysis
IEEE Transactions on Power Systems, 1992A systematic approach to the construction of stochastic models of electric power systems for small disturbance stability analysis is presented. In this study, the cumulative effects of small-magnitude random fluctuations of electrical loads are considered as sources of eventual loss of stability, and a security measure is derived to determine the small-
C.O. Nwankpa +2 more
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Stochastic Stability of Genetic Networks With Disturbance Attenuation
IEEE Transactions on Circuits and Systems II: Express Briefs, 2007Gene regulation is an intrinsically noisy process, which is subject to intracellular and extracellular noise perturbations and environment fluctuations. In this brief, we consider a stochastic nonlinear model for genetic regulatory networks with SUM regulatory functions.
Chunguang Li +2 more
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Multiplicative Stochastic Systems with Multiple External Disturbances
Automation and Remote Control, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Adaptive Tracking Control for Mobile Manipulators with Stochastic Disturbances
Journal of Systems Science and Complexity, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei Sun 0020 +2 more
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Stochastic dynamic programming with random disturbances
Discussiones Mathematicae Probability and Statistics, 2023In stochastic dynamic programming problems, the transition function usually depends on the current state, current action, and random factors, referred in this paper as disturbances. For Markov decision processes, the disturbances form a sequence of independent random values.
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ISA transactions, 2019
This paper develop a novel composite anti-disturbance control (CADC) method for a class of stochastic nonlinear systems in which input saturation and multiple heterogeneous disturbances occur. The disturbances include additive white noise, multiplicative
Xinjiang Wei +4 more
semanticscholar +1 more source
This paper develop a novel composite anti-disturbance control (CADC) method for a class of stochastic nonlinear systems in which input saturation and multiple heterogeneous disturbances occur. The disturbances include additive white noise, multiplicative
Xinjiang Wei +4 more
semanticscholar +1 more source
State Controllers for Stochastic Disturbances
1981The process model assumed in chapter 8 for the derivation of the state controller for deterministic initial values is now excited by a vector stochastic noise signal v(k) $$ x\left( {k + 1} \right) = Ax\left( k \right) + Bu\left( k \right) + Fu\left( k \right). $$ (15.1.1)
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