Finite-time boundedness control for nonlinear networked systems with randomly occurring multi-distributed delays and missing measurements
From MaRDI portal
Publication:1721029
DOI10.1155/2018/5109646zbMath1427.93260OpenAlexW2905140924WikidataQ128786047 ScholiaQ128786047MaRDI QIDQ1721029
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/5109646
Stabilization of systems by feedback (93D15) Discrete-time control/observation systems (93C55) (H^infty)-control (93B36) Stochastic stability in control theory (93E15)
Related Items
Fusion of PDF compensation and gain-scheduled control for discrete stochastic systems with randomly occurring nonlinearities ⋮ Finite-time nonfragile dissipative control for discrete-time neural networks with Markovian jumps and mixed time-delays
Cites Work
- Finite-time stability and \(H_{\infty}\) control of linear discrete-time delay systems with norm-bounded disturbances
- Finite-time boundedness and dissipativity analysis of networked cascade control systems
- Finite-time \(H_{\infty}\) control for linear systems with semi-Markovian switching
- \(H_\infty\) output-feedback control with randomly occurring distributed delays and nonlinearities subject to sensor saturations and channel fadings
- Adaptive output synchronization of heterogeneous network with an uncertain leader
- Distributed event-triggered \(H_\infty\) filtering over sensor networks with communication delays
- Robust mixed control of networked control systems with random time delays in both forward and backward communication links
- \(H_\infty\) finite-time control for switched nonlinear discrete-time systems with norm-bounded disturbance
- Stochastic finite-time boundedness of Markovian jumping neural network with uncertain transition probabilities
- Reliable finite-time \(H_\infty\) filtering for discrete time-delay systems with Markovian jump and randomly occurring nonlinearities
- \(H_{\infty }\) filtering for networked systems with partly known distribution transmission delays
- A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements
- Non-fragile finite-time \(l_2 - l_\infty\) state estimation for discrete-time neural networks with semi-Markovian switching and random sensor delays based on Abel lemma approach
- Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations
- A non-uniform multi-rate control strategy for a Markov chain-driven networked control system
- Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
- Finite-time \(H_{\infty }\) control for a class of discrete-time switched time-delay systems with quantized feedback
- \(L_2\) control design of event-triggered networked control systems with quantizations
- Robust \(H_{\infty}\) control for a class of nonlinear discrete time-delay stochastic systems with missing measurements
- Non-fragile finite-time \(H_\infty\) state estimation of neural networks with distributed time-varying delay
- Finite-time \(H_\infty\) control for a class of Markovian jump delayed systems with input saturation
- Modelling and controller design for discrete-time networked control systems with limited channels and data drift
- Robust dynamic output feedback control of networked control systems with congestion control
- On co-design of filter and fault estimator against randomly occurring nonlinearities and randomly occurring deception attacks
- Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements
- Observer-based controller design for networked control systems with sensor quantisation and random communication delay
- Reliable H ∞ filter design for T–S fuzzy model‐based networked control systems with random sensor failure
- Finite-time boundedness and stabilisation of networked control systems with bounded packet dropout
- Fast state estimation subject to random data loss in discrete-time nonlinear stochastic systems
