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Dynamic output-feedback control of linear semi-Markov jump systems with incomplete semi-Markov kernel

Automatica, 2020
This paper is devoted to the dynamic output-feedback control problem for a class of linear semi-Markov jump systems (SMJSs) in discrete-time domain. A mode-dependent control scheme is employed with an adaptation sense under incomplete semi-Markov kernel,
Yongxiao Tian   +4 more
semanticscholar   +3 more sources

Passivity-Based Control of Fuzzy Singularly Perturbed Jump Systems Based on Semi-Markov Kernel Approach

IEEE Transactions on Systems, Man, and Cybernetics: Systems
This article investigates the passivity-based fuzzy control problem for discrete-time nonlinear semi-Markov jump singularly perturbed systems (SPSs) by the semi-Markov kernel (SMK) approach.
Hao Shen   +4 more
semanticscholar   +3 more sources

Resilient Static Output Feedback Control of Linear Semi-Markov Jump Systems With Incomplete Semi-Markov Kernel

IEEE Transactions on Automatic Control, 2021
Yongxiao Tian   +4 more
semanticscholar   +3 more sources

Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations

IEEE Transactions on Automatic Control, 2018
The slow state variables feedback stabilization problem for semi-Markov jump discrete-time systems with slow sampling singular perturbations is discussed in this work.
Hao Shen   +3 more
semanticscholar   +3 more sources

Some members of the class of (quasi-)copulas with given diagonal from the Markov kernel perspective

Communications in Statistics - Theory and Methods, 2016
J. F. Sánchez, W. Trutschnig
semanticscholar   +3 more sources

On the asymptotic properties of some kernel estimators for continuous-time semi-Markov processes

Journal of nonparametric statistics (Print), 2022
This paper provides kernel estimators of the main characteristics of a continuous-time semi-Markov process, like conditional and unconditional sojourn times in a state, semi-Markov kernel, etc.
Chafiâa Ayhar   +3 more
semanticscholar   +1 more source

Markov kernels and tribes

Information Sciences, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

On contraction properties of Markov kernels

Probability Theory and Related Fields, 2003
The authors study general properties of contractions of Markov kernels without assumptions on the existence of an invariant probability measure. In their previous paper [in: Séminaire de Probabilités XXXIV. Lect. Notes Math. 1729, 1-145 (2000; Zbl 0963.60040)] they have shown that the system is forgetting its initialization without nevertheless ...
Del Moral, P., Ledoux, M., Miclo, L.
openaire   +1 more source

Policy Gradient for Rectangular Robust Markov Decision Processes

Neural Information Processing Systems, 2023
Policy gradient methods have become a standard for training reinforcement learning agents in a scalable and efficient manner. However, they do not account for transition uncertainty, whereas learning robust policies can be computationally expensive.
Navdeep Kumar   +4 more
semanticscholar   +1 more source

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