Results 11 to 20 of about 265,042 (255)

Characterization of Information Channels for Asymptotic Mean Stationarity and Stochastic Stability of Non-stationary/Unstable Linear Systems [PDF]

open access: yes, 2012
Stabilization of non-stationary linear systems over noisy communication channels is considered. Stochastically stable sources, and unstable but noise-free or bounded-noise systems have been extensively studied in information theory and control theory ...
Yüksel, Serdar
core   +1 more source

Hyers-Ulam (HU) Stability and Mittag-Leffler-HU Stability of Additive Brownian Motion (Louis Bachelier's Model) [PDF]

open access: yesEPJ Web of Conferences
The concept of Hyers-Ulam stability provides a powerful framework for analysing the robustness of functional and differential equations (DE’s) under small perturbations. In this study, we investigate the Hyers-Ulam stability and Mittag-Leffler-Hyers-Ulam
Sankar S., Pushpa P., Ponmana Selvan A.
doaj   +1 more source

High-Order Disturbance Observer-Based Neural Adaptive Control for Space Unmanned Systems With Stochastic and High-Dynamic Uncertainties

open access: yesIEEE Access, 2021
In this paper, a high order disturbance observer based stochastic adaptive anti-disturbance control algorithm has been designed for the space unmanned systems (SUSs) with high dynamic disturbances and stochastic uncertainties.
Yao Zhang   +3 more
doaj   +1 more source

Distributed coordination of self-organizing mechanisms in communication networks [PDF]

open access: yes, 2013
The fast development of the Self-Organizing Network (SON) technology in mobile networks renders the problem of coordinating SON functionalities operating simultaneously critical.
Altman, Eitan   +3 more
core   +5 more sources

Small‐signal stability analysis and control of stochastic time‐variant power system through differential inclusion theory

open access: yesIET Generation, Transmission & Distribution, 2019
Here, small‐signal stability issue associated with multi‐scale uncertainty excitation is investigated by using differential inclusion theory. Specifically, a polytopic linear differential inclusion (PLDI) model for large‐scale uncertainty system is developed, in which a modified non‐sequence Monte Carlo method is introduced to identify a series of time‐
Hongkun Chen   +3 more
openaire   +1 more source

Actor-Critic Reinforcement Learning for Control with Stability Guarantee

open access: yes, 2020
Reinforcement Learning (RL) and its integration with deep learning have achieved impressive performance in various robotic control tasks, ranging from motion planning and navigation to end-to-end visual manipulation.
Han, Minghao   +3 more
core   +2 more sources

A Survey on Delay-Aware Resource Control for Wireless Systems --- Large Deviation Theory, Stochastic Lyapunov Drift and Distributed Stochastic Learning [PDF]

open access: yes, 2011
In this tutorial paper, a comprehensive survey is given on several major systematic approaches in dealing with delay-aware control problems, namely the equivalent rate constraint approach, the Lyapunov stability drift approach and the approximate Markov ...
Cui, Ying   +4 more
core   +2 more sources

Probability-Based Robust Stochastic Predictive Fault-Tolerant Control for Industrial Processes With Actuator Failures and Interval Time-Varying Delays

open access: yesIEEE Access, 2021
A stochastic robust predictive fault-tolerant control (SRPFTC) method is proposed for industrial processes with interval time-varying delays and actuator failures occurring under a certain probability.
Bo Peng   +4 more
doaj   +1 more source

Data-driven Economic NMPC using Reinforcement Learning [PDF]

open access: yes, 2019
Reinforcement Learning (RL) is a powerful tool to perform data-driven optimal control without relying on a model of the system. However, RL struggles to provide hard guarantees on the behavior of the resulting control scheme. In contrast, Nonlinear Model
Gros, Sébastien, Zanon, Mario
core   +2 more sources

The Futility of Utility: how market dynamics marginalize Adam Smith [PDF]

open access: yes, 1999
Econometrics is based on the nonempiric notion of utility. Prices, dynamics, and market equilibria are supposed to be derived from utility. Utility is usually treated by economists as a price potential, other times utility rates are treated as ...
McCauley, Joseph L.
core   +2 more sources

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