Results 11 to 20 of about 6,761,764 (353)

A Comparison of Finite Control Set and Continuous Control Set Model Predictive Control Schemes for Model Parameter Mismatch in Three-Phase APF

open access: yesFrontiers in Energy Research, 2021
Model predictive control (MPC) methods are widely used in the power electronic control field, including finite control set model predictive control (FCS-MPC) and continuous control set model predictive control (CCS-MPC).
Jianfeng Yang, Yang Liu, Rui Yan
doaj   +1 more source

Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions [PDF]

open access: yesIEEE Conference on Decision and Control, 2021
Safety is one of the fundamental problems in robotics. Recently, one-step or multi-step optimal control problems for discrete-time nonlinear dynamical system were formulated to offer tracking stability using control Lyapunov functions (CLFs) while ...
Jun Zeng, Zhongyu Li, K. Sreenath
semanticscholar   +1 more source

Energy-Optimal Adaptive Control Based on Model Predictive Control

open access: yesSensors, 2023
Energy-optimal adaptive cruise control (EACC) is becoming increasingly popular due to its ability to save energy. Considering the negative impacts of system noise on the EACC, an improved modified model predictive control (MPC) is proposed, which ...
Yuxi Li, Gang Hao
doaj   +1 more source

Data-Driven Model Predictive Control With Stability and Robustness Guarantees [PDF]

open access: yesIEEE Transactions on Automatic Control, 2019
We propose a robust data-driven model predictive control (MPC) scheme to control linear time-invariant systems. The scheme uses an implicit model description based on behavioral systems theory and past measured trajectories.
J. Berberich   +3 more
semanticscholar   +1 more source

A new optimization algotithm with application to nonlinear MPC [PDF]

open access: yesModeling, Identification and Control, 2005
This paper investigates application of SQP optimization algorithm to nonlinear model predictive control. It considers feasible vs. infeasible path methods, sequential vs. simultaneous methods and reduced vs full space methods.
Frode Martinsen   +2 more
doaj   +1 more source

Fast Contact-Implicit Model Predictive Control [PDF]

open access: yesIEEE Transactions on robotics, 2021
In this article, we present a general approach for controlling robotic systems that make and break contact with their environments. Contact-implicit model predictive control (CI-MPC) generalizes linear MPC to contact-rich settings by utilizing a bilevel ...
Simon Le Cleac’h   +7 more
semanticscholar   +1 more source

Robust Stability Analysis of a Simple Data-Driven Model Predictive Control Approach [PDF]

open access: yesIEEE Transactions on Automatic Control, 2021
In this article, we provide a theoretical analysis of closed-loop properties of a simple data-driven model predictive control (MPC) scheme. The formulation does not involve any terminal ingredients, thus allowing for a simple implementation without ...
Joscha Bongard   +3 more
semanticscholar   +1 more source

Single-layer economic model predictive control for periodic operation [PDF]

open access: yes, 2014
In this paper we consider periodic optimal operation of constrained periodic linear systems. We propose an economic model predictive controller based on a single layer that unites dynamic real time optimization and control.
Grosso Pérez, Juan Manuel   +4 more
core   +3 more sources

The extended model predictive-sliding mode control of three-level AC/DC power converters with output voltage and load resistance variations

open access: yesSystems Science & Control Engineering, 2021
In the proposed approach, an Extended Model Predictive Sliding Mode Controller (EMPSMC) is designed to control Three-Level Ac/Dc Power Converters to achieve improved dynamic performance and better. Steady-state stability.
Muhammad Jamshed Abbas   +4 more
doaj   +1 more source

Model Predictive Control

open access: yesLectures on Variational Analysis, 2008
Control design often seeks the best trajectory along which to move a system from its current state to a target state. Most control methods consider only the first step of the full trajectory toward the target state. Model predictive control considers the
M. Alamir, Frank Allgöwer
semanticscholar   +1 more source

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