Results 51 to 60 of about 1,385,705 (307)
International Journal of Adaptive Control and Signal Processing, EarlyView.This article proposes a convergent adaptive observer for a damped wave PDE and an infinite‐dimensional ODE coupled in cascade using sampled‐in‐space ODE state measurements. The proposed observer estimates the distributed states of the PDE and ODE along with unknown PDE parameters and spatial input.
Zehor Belkhatir +2 more
wiley +1 more source
IEEE AccessThis paper proposes a hierarchical sliding-constrained finite-control-set predictive control framework for a single-phase grid-connected three-level neutral-point-clamped (3L-NPC) inverter in photovoltaic systems.
Hoang-Viet Nguyen, Hong-Duong Pham
doaj +1 more source
Simple Finite-Control-Set Model Predictive Control of Grid-Forming Inverters With LCL Filters
IEEE Access, 2020 Grid-forming inverters (GFI) play an important role as power interfaces for distributed generation units in islanded microgrids, where inductive-capacitive-inductive (LCL) output filters are commonly employed to mitigate the harmonics injected by voltage-
Hector A. Young +3 more
doaj +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
EnergiesThree-level non-inverting buck–boost converters are promising for electric vehicle charging stations due to their wide voltage regulation capability and bidirectional power flow.
Mingxia Xu +6 more
doaj +1 more source
Prediction Error Analysis of Finite-Control-Set Model Predictive Current Control for IPMSMs
Energies, 2018 Finite-control-set model predictive current control (FCS-MPCC) has been widely investigated in the field of motor control. When the discrete motor prediction model is not obtained accurately, prediction error often occurs, which can result in improper ...
Jian Li +5 more
doaj +1 more source
Energies, 2022 In this paper, an improved finite control set model predictive current control (FCS-MPCC) is proposed for a two-phase hybrid stepper motor fed by a three-phase voltage source inverter (VSI). The conventional FCS-MPCC selects an optimal voltage vector (VV)
Chunlei Wang +3 more
doaj +1 more source
IEEE transactions on industrial electronics (1982. Print)In multilevel converters, finite control set model predictive control (MPC) suffers from high computational costs. This article proposes a simple method to reduce the computational burden by solving the equivalent unconstrained continuous control problem,
Francesco Simonetti +2 more
semanticscholar +1 more source
Control of Large Swarms via Random Finite Set Theory [PDF]
2018 Annual American Control Conference (ACC), 2018 Controlling large swarms of robotic agents has many challenges including, but not limited to, computational complexity due to the number of agents, uncertainty in the functionality of each agent in the swarm, and uncertainty in the swarm's configuration.
Bryce Doerr, Richard Linares
openaire +2 more sources