Dynamic event-based reliable dissipative asynchronous control for stochastic Markov jump systems with general conditional probabilities
DOI10.1007/s11071-020-05786-1zbMath1516.93057OpenAlexW3041613420MaRDI QIDQ6168772
Yanqian Wang, Guangming Zhuang, Fu Chen
Publication date: 9 August 2023
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-020-05786-1
linear matrix inequalitieshidden Markov modelsstochastic Markov jump systemsdynamic event-triggered schemereliable asynchronous controller
Design techniques (robust design, computer-aided design, etc.) (93B51) Stochastic systems in control theory (general) (93E03) Networked control (93B70)
Related Items (32)
Cites Work
- Unnamed Item
- Unified filters design for singular Markovian jump systems with time-varying delays
- Resilient dissipative based controller for stochastic systems with randomly occurring gain fluctuations
- Event-triggered output-feedback tracking of a class of nonlinear systems with unknown time delays
- Disturbance attenuation and rejection for stochastic Markovian jump system with partially known transition probabilities
- Admissibility and stabilization of stochastic singular Markovian jump systems with time delays
- A Markov jump model approach to reliable event-triggered retarded dynamic output feedback \(\mathcal{H}_\infty\) control for networked systems
- Reliable control for event-triggered singular Markov jump systems with partly unknown transition probabilities and actuator faults
- Output-feedback stabilization of singular LPV systems subject to inexact scheduling parameters
- Non-fragile delay feedback control for neutral stochastic Markovian jump systems with time-varying delays
- Dynamic event-based finite-time mixed \(H_\infty\) and passive asynchronous filtering for T-S fuzzy singular Markov jump systems with general transition rates
- Event-triggered dissipative control for networked stochastic systems under non-uniform sampling
- Non-fragile saturation control of nonlinear positive Markov jump systems with time-varying delays
- Dissipative control of Markovian jump fuzzy systems under nonhomogeneity and asynchronism
- Hopf bifurcation analysis of a complex-valued neural network model with discrete and distributed delays
- Event-triggered control systems under packet losses
- Dissipative dynamical systems
- Dissipative dynamical systems. I: General theory
- Reliable control for hybrid-driven T-S fuzzy systems with actuator faults and probabilistic nonlinear perturbations
- Dynamic event-based mixed \(H_\infty\) and dissipative asynchronous control for Markov jump singularly perturbed systems
- Output-Based and Decentralized Dynamic Event-Triggered Control With Guaranteed $\mathcal{L}_{p}$- Gain Performance and Zeno-Freeness
- Dynamic Triggering Mechanisms for Event-Triggered Control
- Robust H ∞ deconvolution filtering for uncertain singular Markovian jump systems with time-varying delays
- Nonfragile $H_{\infty}$ Filtering of Continuous-Time Fuzzy Systems
- Stability and Hopf Bifurcation of Fractional-Order Complex-Valued Single Neuron Model with Time Delay
- Stability and stabilization of continuous‐time switched systems: A multiple discontinuous convex Lyapunov function approach
- Dynamic event‐triggered control for linear time‐invariant systems with ‐gain performance
- Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations
- Filtering of Markovian Jump Delay Systems Based on a New Performance Index
- A dynamic event-triggeredH∞control for singular Markov jump systems with redundant channels
- A New Approach for Event-Triggered Stabilization and Output Regulation of Nonlinear Systems
- Dynamic Periodic Event-Triggered Control for Linear Systems
- Passivity-Based Asynchronous Control for Markov Jump Systems
- A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems
This page was built for publication: Dynamic event-based reliable dissipative asynchronous control for stochastic Markov jump systems with general conditional probabilities