Robust H∞ Control for a Class of Discrete Time-Delay Stochastic Systems with Randomly Occurring Nonlinearities [PDF]
Abstract and Applied Analysis, 2014 In this paper, we consider the robust H∞ control problem for a class of discrete time-delay stochastic systems with randomly occurring nonlinearities. The parameter uncertainties enter all the system matrices; the stochastic disturbances are both state ...
Yamin Wang +3 more
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Characterization of Information Channels for Asymptotic Mean Stationarity and Stochastic Stability of Non-stationary/Unstable Linear Systems [PDF]
, 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
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A Survey on Delay-Aware Resource Control for Wireless Systems --- Large Deviation Theory, Stochastic Lyapunov Drift and Distributed Stochastic Learning [PDF]
, 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
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Stochastic Systems: Modeling, Optimization, and Applications [PDF]
, 2014 The special issue of Mathematical Problems in Engineering deals with the issues of modeling, optimization, and applications associated with stochastic systems.
Dai, Hongsheng +4 more
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IEEE 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
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The Futility of Utility: how market dynamics marginalize Adam Smith [PDF]
, 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.
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Actor-Critic Reinforcement Learning for Control with Stability Guarantee
, 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
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The robust $$H_{\infty }$$ H ∞ control of stochastic neutral state delay systems
Journal of Electrical Systems and Information Technology, 2023 In this paper, the resilient stochastic neutral state delay system with the Markov chain problem is examined. It offers output feedback control based on discrete state space delay and uncertainty that appear under traditional delay-independent conditions
Rajagounder Ravi Kumar +3 more
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Data-driven Economic NMPC using Reinforcement Learning [PDF]
, 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
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Adaptive Fuzzy Prescribed Performance Control for MIMO Stochastic Nonlinear Systems
IEEE Access, 2018 This paper investigates the adaptive fuzzy output feedback prescribed performance control (PPC) problem for multiple-input and multiple-output (MIMO) stochastic nonlinear systems in the nonstrict-feedback form.
Xinfeng Shao, Shaocheng Tong
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