Recursive state estimation for discrete-time nonlinear systems with event-triggered data transmission, norm-bounded uncertainties and multiple missing measurements
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Publication:5298470
DOI10.1002/rnc.3527zbMath1351.93150OpenAlexW2278162520MaRDI QIDQ5298470
Publication date: 15 December 2016
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.3527
stochastic stabilitydiscrete-time nonlinear systemsnorm-bounded uncertaintiesevent-triggered data transmissionmultiple missing measurements
Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Discrete event control/observation systems (93C65)
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Cites Work
- Adaptive dynamic programming for control. Algorithms and stability
- Envelope-constrained \(\mathcal{H}_\infty\) filtering with fading measurements and randomly occurring nonlinearities: the finite horizon case
- Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
- Robust variance-constrained filtering for a class of nonlinear stochastic systems with missing measurements
- Network-based leader-following consensus for distributed multi-agent systems
- Robust filtering with stochastic nonlinearities and multiple missing measurements
- Model-based event-triggered predictive control for networked systems with communication delays compensation
- Non-fragile robust control for networked control systems with long time-varying delay, randomly occurring nonlinearity, and randomly occurring controller gain fluctuation
- Robust iterative learning control for systems with norm-bounded uncertainties
- Robust ℋ︁∞ sliding mode control for nonlinear stochastic systems with multiple data packet losses
- Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements
- Finite-Horizon <inline-formula> <tex-math notation="TeX">${\cal H}_{\infty}$</tex-math></inline-formula> Control for Discrete Time-Varying Systems With Randomly Occurring Nonlinearities and Fading Measurements
- Robust extended Kalman filtering for nonlinear systems with multiplicative noises
- A sliding mode control approach for systems subjected to a norm-bounded uncertainty
- state estimation with fading measurements, randomly varying nonlinearities and probabilistic distributed delays
- On Event Based State Estimation
- Robust Kalman filtering for uncertain discrete-time systems
- Stochastic stability of the discrete-time extended Kalman filter
- Networked LQG control over unreliable channels
- Stochastic Stability of the Extended Kalman Filter With Intermittent Observations
- Stochastically resilient extended Kalman filtering for discrete-time nonlinear systems with sensor failures
- Event-Triggering in Distributed Networked Control Systems
- Filtering for Discrete-Time Networked Nonlinear Systems With Mixed Random Delays and Packet Dropouts
- Event Based State Estimation With Time Synchronous Updates
- Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality
- Event triggered robust filter design for discrete‐time systems