Frequency‐Domain Analysis of a Keldysh‐Like System
ABSTRACT Complex dynamics of the system, revealing flutter and first presented by M. Keldysh, is analyzed in the paper in the frequency domain, through the describing function method. Motivated by this analysis, a system with similar behavior, but suitable for the exact frequency‐domain analysis through the locus of a perturbed relay system (LPRS ...
I. M. Boiko +3 more
wiley +1 more source
Enhanced trajectory tracking and robustness in magnetic levitation via takagi-sugeno fuzzy control: experimental approach. [PDF]
T Y +3 more
europepmc +1 more source
Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction
ABSTRACT Model reduction is an active research field to construct low‐dimensional surrogate models of high fidelity to accelerate engineering design cycles. In this work, we investigate model reduction for linear structured systems using dominant reachable and observable subspaces.
Celine Reddig +3 more
wiley +1 more source
Practical Predefined-Time Sliding-Mode Adaptive Resilient Control for PMSM Cyber-Physical Systems. [PDF]
Wang Z, Zhang S, Jiang Y, Yin C.
europepmc +1 more source
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning [PDF]
Luc McCutcheon +2 more
openalex +1 more source
Safety Critical Control of a System With Element‐Wise Estimation of Unknown Time‐Varying Parameters
ABSTRACT This paper presents a method for guaranteeing the safety of a system with time‐varying parameters. First, we extend Dynamic Regressor Extension and Mixing to estimate time‐varying parameters with a finite‐time update rule, and present a bound on the estimation error.
Emil Lykke Diget +2 more
wiley +1 more source
Adaptive finite-time fault-tolerant control scheme of UAV against combined faults. [PDF]
Yan X, Li T, Tian Y.
europepmc +1 more source
Differential inclusions and quasi-Lyapunov functions [PDF]
Margaret Ivanov +2 more
openalex +1 more source
Deadbeat Robust Model Predictive Control: Robustness Without Computing Robust Invariant Sets
ABSTRACT Deadbeat Robust Model Predictive Control (DRMPC) is introduced as a new approach of Robust Model Predictive Control (RMPC) for linear systems with additive disturbances. Its main idea is to completely extinguish the effect of the disturbances in the predictions within a small number of time steps, called the deadbeat horizon.
Georg Schildbach
wiley +1 more source

