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Found 12 papers, 0 papers with code
MPC for Tracking applied to rendezvous with non-cooperative tumbling targets ensuring stability and feasibility
A Model Predictive Controller for Tracking is introduced for rendezvous with non-cooperative tumbling targets in active debris removal applications.
Implementation of soft-constrained MPC for Tracking using its semi-banded problem structure
Model Predictive Control (MPC) is a popular control approach due to its ability to consider constraints, including input and state restrictions, while minimizing a cost function.
Efficient implementation of MPC for tracking using ADMM by decoupling its semi-banded structure
Model Predictive Control (MPC) for tracking formulation presents numerous advantages compared to standard MPC, such as a larger domain of attraction and recursive feasibility even when abrupt changes in the reference are produced.
Harmonic model predictive control for tracking periodic references
Harmonic model predictive control (HMPC) is a recent model predictive control (MPC) formulation for tracking piece-wise constant references that includes a parameterized artificial harmonic reference as a decision variable, resulting in an increased performance and domain of attraction with respect to other MPC formulations.
Efficient online update of model predictive control in embedded systems using first-order methods
Model Predictive Control (MPC) is typically characterized for being computationally demanding, as it requires solving optimization problems online; a particularly relevant point when considering its implementation in embedded systems.
Oracle-based economic predictive control
This paper presents an economic model predictive controller, under the assumption that the only measurable signal of the plant is the economic cost to be minimized.
Tractable robust MPC design based on nominal predictions
Many popular approaches in the field of robust model predictive control (MPC) are based on nominal predictions.
Suboptimal multirate MPC for five-level inverters
The application of multilevel converters to renewable energy systems is a growing topic due to their advantages in energy efficiency.
Real-time implementation of MPC for tracking in embedded systems: Application to a two-wheeled inverted pendulum
This article presents the real-time implementation of the model predictive control for tracking formulation to control a two-wheeled inverted pendulum robot.
Restart of accelerated first order methods with linear convergence under a quadratic functional growth condition
Accelerated first order methods, also called fast gradient methods, are popular optimization methods in the field of convex optimization.
Optimization and Control
Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm
This article presents a sparse, low-memory footprint optimization algorithm for the implementation of the model predictive control (MPC) for tracking formulation in embedded systems.
Online learning-based Model Predictive Control with Gaussian Process Models and Stability Guarantees
Model predictive control allows to provide high performance and safety guarantees in the form of constraint satisfaction.
