Adaptive parameterized model predictive control based on ...

This paper first proposes a novel framework that uses reinforcement learning (RL) to adapt all components of the PMPC scheme in an online way.

Reference: D. Sun, A. Jamshidnejad, and B. De Schutter, "Adaptive parameterized model predictive control based on reinforcement learning: A synthesis framework, ...

Adaptive tuning of model predictive control based on analytical results

Abstract: In dealing with model predictive controllers (MPC), controller tuning is a key design step. Among the available tuning methods, ...

Adaptive Model Predictive Control with Online Parameter Learning ...

In this adaptive MPC, system parameters are continuously updated using a custom gradient-based function. This function makes real-time adjustments to critical ...

Adaptive Model Predictive Control Scheme Based on Non-Minimal ...

Furthermore, we have focused on the parameter estimation of a non-minimal state space time-varying system, where the system parameters change at each time ...

Adaptive Model Predictive Control for A Class of Constrained Linear ...

Abstract:This paper investigates adaptive model predictive control (MPC) for a class of constrained linear systems with unknown model ...

Adaptive Model Predictive Control for High-Accuracy Trajectory ...

This approach is based on a novel method to estimate the parameters of a model suitable for MPC. The algorithm is initially conservative due to large parameter ...

A New Adaptive Parameter Estimation Algorithm for Robust ...

Abstract: Model predictive control (MPC) combined with adaptation mechanism has been one of the new research topics for the control of constrained uncertain ...

Adaptive MPC Controller - Simulink - MathWorks

Adaptive MPC Control of Nonlinear Chemical Reactor Using Linear Parameter-Varying System ... Update the internal model of an adaptive MPC controller using an LPV ...

Robust adaptive model predictive control based on comparison model

This paper proposes an adaptive model predictive control (MPC) algorithm for constrained linear systems, which updates the estimation of system parameters ...

RNN-based linear parameter varying adaptive model predictive ...

The content of this article handles the problem of autonomous driving by proposing an adaptive linear parameter varying model predictive controller (LPV-MPC), ...

Adaptive Model Predictive Control - Mark Cannon - YouTube

... Model Predictive Control (MPC) more than 40 years ago. However few control strategies based on MPC with online model identification provide ...

Adaptive MPC - MATLAB & Simulink - MathWorks

Adaptive MPC can address this degradation by adapting the prediction model for changing operating conditions. As implemented in the Model Predictive Control ...

Fast Model Predictive Control Based on Adaptive Alternating ...

This method adaptively adjusts penalty parameter to balance the value of primal residual and dual residual. The performance of this approach is ...

Adaptive model predictive control for constrained nonlinear systems

The parameter estimation routine employed guarantees non-increase of the estimation error vector. This means that the controller employs a process model which ...

Adaptive control vs MPC : r/ControlTheory - Reddit

MPC alters the control INPUTS based on new information, but the control PARAMETERS i.e. model of the dynamics, constraints, and cost ...

Linear robust adaptive model predictive control - arXiv

A moving window parameter set identification is used to compute a fixed complexity parameter set based on past data. Robust constraint satisfaction is achieved.

Robust adaptive model predictive control: Performance and ...

For systems with uncertain linear models, bounded additive disturbances and state and control constraints, a robust model predictive control ...

A Model Predictive Control Approach to Design a Parameterized ...

This chapter presents a systematic approach for the designand tuning of an ACC, based on model predictive control (MPC). A unique featureof the synthesized ACC ...

A Model Predictive Control Approach to Design a Parameterized ...

This chapter presents a systematic approach for the design and tuning of an ACC, based on model predictive control (MPC). A unique feature of the synthesized ...