Results 91 to 100 of about 202,414 (198)

A Cost-Effective and Flexible Decision-Making Method for Multi-Objective Finite Control Set Model Predictive Control

IEEE Access
Multi-objective finite control set-model predictive control (FCS-MPC) plays a prominent role in controlling modern power converters and electric drives.
Emrah Zerdali, Jacopo Riccio, Jakson Bonaldo, Marco Rivera, Pat Wheeler, Michele Degano   +5 more
doaj   +1 more source

Simplified Finite Set Model Predictive Control Strategy of Grid-Connected Cascade H-Bridge Converter

Journal of Control Science and Engineering, 2016
Finite set model predictive control (FS-MPC) has become a promising control technology in power converter, because of the advantages of good dynamic response and accurate current tracking capability.
Jingang Han, Chao Li, Tengfei Yang, Jun Han   +3 more
doaj   +1 more source

Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms

Applied Sciences, 2019
Finite control set model predictive control (FCS-MPC) methods in different power electronic applications are gaining considerable attention due to their simplicity and fast dynamics.
Mohammed Alhasheem, Frede Blaabjerg, Pooya Davari   +2 more
doaj   +1 more source

Robust Model Predictive Control via Scenario Optimization

, 2012
This paper discusses a novel probabilistic approach for the design of robust model predictive control (MPC) laws for discrete-time linear systems affected by parametric uncertainty and additive disturbances.
Calafiore, Giuseppe C., Fagiano, Lorenzo
core   +1 more source

Random Finite Set Theory and Optimal Control of Large Collaborative Swarms

, 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.
Doerr, Bryce, Ferrari, Silvia, Linares, Richard, Zhu, Pingping   +3 more
core   +1 more source

Stochastic model predictive control of LPV systems via scenario optimization [PDF]

, 2013
A stochastic receding-horizon control approach for constrained Linear Parameter Varying discrete-time systems is proposed in this paper. It is assumed that the time-varying parameters have stochastic nature and that the system's matrices are bounded but ...
Alamo, Calafiore, Calafiore, Calafiore, Campi, Cannon, Casavola, Casavola, Casavola, Cinquemani, Giuseppe C. Calafiore, Jungers, Li, Lorenzo Fagiano, Lu, Mahmood, Mao, Tempo   +17 more
core   +1 more source

On generalized terminal state constraints for model predictive control

, 2012
This manuscript contains technical results related to a particular approach for the design of Model Predictive Control (MPC) laws. The approach, named "generalized" terminal state constraint, induces the recursive feasibility of the underlying ...
Fagiano, Lorenzo, Teel, Andrew R.
core   +1 more source

Stability for Receding-horizon Stochastic Model Predictive Control [PDF]

, 2015
A stochastic model predictive control (SMPC) approach is presented for discrete-time linear systems with arbitrary time-invariant probabilistic uncertainties and additive Gaussian process noise.
Mesbah, Ali, Paulson, Joel A., Streif, Stefan   +2 more
core   +1 more source

Position Controller for PMSM Based on Finite Control Set Model Predictive Control

Elektronika ir Elektrotechnika, 2016
The paper presents the position control of a permanent magnet synchronous motor by using the finite control set model predictive control. The position, speed and acceleration references are generated by a ramp generator. A new cost function, including feed-forward and load torque compensations, is introduced. In order to save the computational power, a
Viktor Slapak, Karol Kyslan, Frantisek Durovsky   +2 more
openaire   +1 more source

Time‐optimal finite control set model predictive control of non‐isolated DC–DC converters

IET Electric Power Applications
The authors propose a time‐optimal finite control‐set model predictive control (FCS‐MPC) formulation, generalised to the three most common non‐isolated DC–DC converters (buck, boost, buck–boost) tracking a constant switching frequency.
Thibaut Harzig, Brandon Grainger
doaj   +1 more source