Latest Research in Stability and Control of Uncertain Systems

Top Research Topics in Stability and Control of Uncertain Systems

• Optimization and Control — 8 papers
• Systems and Control — 6 papers
• Stability and Control of Uncertain Systems — 3 papers
• Distributed Control Multi-Agent Systems — 2 papers
• Model Reduction and Neural Networks — 2 papers
• Adaptive Control of Nonlinear Systems — 2 papers
• Adaptive Dynamic Programming Control — 2 papers
• Stability and Controllability of Differential Equations — 1 papers
• Distributed Sensor Networks and Detection Algorithms — 1 papers
• Fault Detection and Control Systems — 1 papers

Highest-Cited Papers

1. Adaptive Fault-Tolerant Boundary Control of UAV Formations with Reliable Interior Sensing via a PDE Continuum Model
2. Data-Driven State Observers for Measure-Preserving Systems
3. KOOPMAN-Luenberger Observer Design for Nonlinear Systems with Application to the Monitoring of a Latent Thermal Energy Storage
4. Robust State Estimation via Dual-threshold NIS-based Kalman-FIR Switching
5. A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution
6. Barrier Function Adaptive Event-Triggered Sliding Mode Control for Nonlinear Systems
7. Towards Co-Designed Event-Triggered Extremum Seeking
8. Model Predictive Control of Hybrid Dynamical Systems
9. Computing the Maximal Controlled Invariant Set for Neural Network Control Systems
10. Output Regulation Bumpless Transfer Control for Switched Linear Systems and Its Application to Turbofan Engine Model
11. Characterizing Robustness in Nonlinear Optimal Control: From Stability to Optimality
12. A fixed-time fault-tolerant tracking control for fractional-order UAV networks using adaptive fuzzy neural and event-triggered mechanisms
13. A smooth compositional framework for learned control barrier functions with provable safety guarantees
14. Admissible Set for Linear Systems under Linear State Constraints
15. Data-driven model predictive control: Asymptotic stability despite approximation errors exemplified in the Koopman framework
16. An integral inequality design method of robust control schemes for uncertain nonlinear systems with universal uncertainties
17. A subspace approach to data-driven predictive control for linear parameter-varying systems
18. Model-Free Q-Learning for Infinite-Horizon Stochastic Linear Quadratic Problems with Regime Switching
19. Adaptive prescribed-time tracking control for nonlinear systems with actuator saturation under arbitrary initial errors
20. Online Feedback Optimization for Constrained Stochastic Problems with Decision-Dependent Distributions: Extended Version