Latest Research in Systems and Control

Top Research Topics in Systems and Control

• Systems and Control — 18 papers
• Optimization and Control — 14 papers
• Adaptive Control of Nonlinear Systems — 5 papers
• Advanced Control Systems Optimization — 3 papers
• Control Systems and Identification — 3 papers
• Stability and Controllability of Differential Equations — 2 papers
• Adaptive Dynamic Programming Control — 2 papers
• Neural Networks and Applications — 1 papers
• Iterative Learning Control Systems — 1 papers
• Aerospace and Aviation Technology — 1 papers

Highest-Cited Papers

1. Prescribed-performance position tracking for infinite-dimensional passive systems
2. Data-Driven Reachability of Nonlinear Lipschitz Systems via Koopman Operator Embeddings
3. KKL Observer Synthesis for Nonlinear Systems via Physics-Informed Learning
4. Residual Neural FIR Filtering for Robust State Estimation
5. Formal Classical Control Framework on Bounded Phase Space Corridors
6. Formal Classical Control Framework on Bounded Phase Space Corridors
7. Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs
8. A Model-Based Extended State Observer for Discrete-Time Linear Multivariable Systems
9. An iterative learning algorithm founded on the normalization principle and inverse triangular dynamic initial error compensation
10. Koopman-Based Linear MPC for Safe Control using Control Barrier Functions
11. Robust Model Predictive Tracking Control for Constrained Systems With Input Delays and Polytopic Uncertainties
12. Robust Min–Max MPC with Symbolic RegressionEnsembles: Constraint Satisfaction for Uncertain Nonlinear ProcessControl
13. Book Review: Computational Methods in Optimal Control: Theory and Practice
14. Robust Control Under Uncertainty - A Review of Synthesis, Estimation, and Data-Driven Design
15. Robust Control Under Uncertainty - A Review of Synthesis, Estimation, and Data-Driven Design
16. Covariance Propagation and Stabilization for Tube-Based Stochastic MPC under Parametric and Additive Uncertainties
17. A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems
18. Certified Feedforward Tracking for Unknown Nonlinear Systems via Invertible Neural Networks
19. A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
20. Adaptive fuzzy prescribed-time fault-tolerant tracking control for constrained nonlinear systems with intermittent faults