Stabilization of Markovian jump systems with incomplete knowledge of transition probabilities and input quantization

DOI10.1016/j.jfranklin.2015.06.008zbMath1395.93568OpenAlexW856997976MaRDI QIDQ1660670

Bum Yong Park, Nam Kyu Kwon, Poo Gyeon Park

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.06.008

zbMATH Keywords

transition probabilitiesincomplete knowledgeinput quantizationstabilization of Markovian jump systems

Mathematics Subject Classification ID

Related Items (10)

\(\mathcal H_\infty\) control for Markovian jump fuzzy systems with partly unknown transition rates and input saturation ⋮ Non‐Fragile Simultaneous Actuator and Sensor Fault‐Tolerant Control Design for Markovian Jump Systems Based on Adaptive Observer ⋮ Mode‐dependent intermediate variable‐based fault estimation for Markovian jump systems with multiple faults ⋮ \(\mathcal H_2\) control of Markovian jump LPV systems with measurement noises: application to a DC-motor device with voltage fluctuations ⋮ Observer design for delayed Markovian jump systems with output state saturation ⋮ A unified method to energy-to-peak filter design for networked Markov switched singular systems over a finite-time interval ⋮ Stabilization of continuous-time random switching systems via a fault-tolerant controller ⋮ Particle filter with Markovian packet dropout and time delay ⋮ Generalized relaxation techniques for robust \(\mathcal{H}_\infty\) filtering of nonhomogeneous Markovian jump systems ⋮ Stochastic stability and stabilization conditions of semi-Markovian jump systems with mode transition-dependent sojourn-time distributions

Cites Work

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• Quantized filtering for Markovian jump LPV systems with intermittent measurements
• Optimality of a Two-Threshold Feedback Control for a Manufacturing System With a Production Dependent Failure Rate
• ${\cal H}_{\infty}$ Estimation for Uncertain Systems With Limited Communication Capacity

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