Results 281 to 290 of about 776,491 (337)

SMC for Discrete-Time Nonlinear Semi-Markovian Switching Systems With Partly Unknown Semi-Markov Kernel

IEEE Transactions on Automatic Control, 2023
This article is devoted to the discrete-time sliding mode control (DSMC) for nonlinear semi-Markovian switching systems (S-MSSs). Motivated by the fact that the complete information of the semi-Markov Kernel is difficult to be obtained in practical ...
Wenhai Qi, Guangdeng Zong, Yakun Hou, M. Chadli   +3 more
semanticscholar   +1 more source

SMC for Discrete Fuzzy Semi-Markov Jump Models With Partly Known Semi-Markov Kernel

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
This article investigates the sliding mode control (SMC) for discrete-time nonlinear semi-Markov jump models with a partly known semi-Markov kernel (SMK).
Wenhai Qi, Jichao Zhang, Ju H. Park, Zhengguang Wu, Huaicheng Yan   +4 more
semanticscholar   +1 more source

Stability and Control of Fuzzy Semi-Markov Jump Systems Under Unknown Semi-Markov Kernel

IEEE transactions on fuzzy systems, 2022
This article investigates the stochastic stability analysis and stabilization problems for discrete-time Takagi–Sugeno fuzzy semi-Markov jump systems with upper-bounded sojourn time.
Zepeng Ning, B. Cai, Rui Weng, Lixian Zhang, S. Su   +4 more
semanticscholar   +1 more source

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, Ziwei Zhang, Feng Li, Jing Wang, Jinde Cao   +4 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

Observer-Based Control for Discrete-Time Hidden Semi-Markov Jump Systems

IEEE Transactions on Automatic Control, 2023
In this note, the control problem for discrete-time hidden semi-Markov jump systems is investigated under the situation that the system modes are unavailable directly.
Hao Shen, Yigang Zhang, Jing Wang, Jinde Cao, L. Rutkowski   +4 more
semanticscholar   +1 more source

A Wind Speed Correction Method Based on Modified Hidden Markov Model for Enhancing Wind Power Forecast

IEEE transactions on industry applications, 2022
Short-term wind power forecast (WPF) depends highly on the wind speed forecast (WSF), which is the prime contributor to the forecasting error. To achieve more accurate WPF results, this article proposes a wind speed correction method to improve the WSF ...
Menglin Li, Ming Yang, Yixiao Yu, Weijen Lee   +3 more
semanticscholar   +1 more source

A Sequential Pattern Classifier Based on Hidden Markov Kernel Machine and Its Application to Phoneme Classification

IEEE Journal on Selected Topics in Signal Processing, 2010
This paper describes a novel classifier for sequential data based on nonlinear classification derived from kernel methods. In the proposed method, kernel methods are used for enhancing the emission probability density functions (pdfs) of hidden Markov ...
Yotaro Kubo, Shinji Watanabe, Atsushi Nakamura, E. McDermott, Tetsunori Kobayashi   +4 more
semanticscholar   +1 more source