Adaptive parameterized model predictive control based on ...

Adaptive Horizon Model Predictive Control and Al'brekht's Method

AHMPC is a scheme for varying the horizon length of Model Predictive Control (MPC) as needed so that MPC methods can be used on faster and/or more ...

Adaptive robust model predictive control for nonlinear systems

Modeling error and external disturbances can severely degrade the performance of Model Predictive Control (MPC) in real-world scenarios. Robust MPC (RMPC) ...

Model Reference Predictive Adaptive Control for Large-Scale Soft ...

Past work has shown model predictive control (MPC) to be an effective strategy for controlling continuum joint soft robots using basic ...

Energy-Optimal Adaptive Control Based on Model Predictive Control

Considering the negative impacts of system noise on the EACC, an improved modified model predictive control (MPC) is proposed, which combines the Sage- ...

FAST ADAPTIVE GENERALIZED PREDICTIVE CONTROL ... - UFV

Adaptive tube-based model predictive control for linear systems with parametric uncertainty. The Institution of. Engineering and Technology ...

Systems with unknown parameters and adaptive control ... - YouTube

Control using a robust policy. Adaptive control by reoptimization (indirect control) ... Adaptive Control, Model Predictive Control. Dimitri ...

Real-time weighted multi-objective model predictive controller for ...

The upper controller based on the proposed spacing control law is designed to compute the desired acceleration to maintain the control ...

Adaptive Contact-Implicit Model Predictive Control with Online ...

Buchli, “Gait and trajectory optimization for legged systems through phase-based end- effector parameterization,” IEEE Robotics and Automation Letters, vol. 3, ...

Adaptive Model Predictive Control: Robustness, Performance ...

However few control strategies based on MPC with online model identification provide guarantees of robust performance and constraint satisfaction. Recent ...

Plasma-Insulin-Cognizant Adaptive Model Predictive Control for ...

The system identification approach is able to identify stable, reliable linear time-varying models from closed-loop data. An MPC algorithm using the adaptive ...

Vehicle Dynamics Control Using Model Predictive Control Allocation ...

This is done by combining the MPCA solver with an online adaptive parameter estimation (APE) algorithm. In this study, an advanced solution to ...

Design and implementation of parameterized adaptive cruise control

This paper presents a systematic approach for the design of a parameterized ACC, based on explicit model predictive control. A unique feature of the synthesized ...

Adaptive model predictive control based on neural networks for ...

The adaptive model predictive controller is designed based on the nominal system. The disturbance value estimated by the neural network adaptively adjusts the ...

A Differential Error-Based Self-Triggered Model Predictive Control ...

Model predictive control (MPC) is a control technique based on the numerical optimization strategy, which optimizes the performance indicators at each moment to ...

Adaptive Model Predictive Control for Constrained Nonlinear Systems

A more attractive possibility is to apply adaptive extensions of MPC in which parameter estimation and control are performed online. While some ...

Adaptive MPC Design with Simulink and Model Predictive Control ...

To control this system, we used a traditional MPC controller. But now we will let the longitudinal velocity vary as the car travels. So, the ...

Computer Control - Lecture 18 - Adaptive and Predictive control

... control based on minimum variance, pole-placement and model based predictive control ... Online Parameter Estimation and Adaptive Control.

Adaptive receding horizon predictive control for constrained discrete ...

To this end, first, an adaptive parameter estimation algorithm suitable for MPC is proposed, which uses the available input and output signals to estimate the ...

Online Parameter Estimation and Adaptive Control - YouTube

MathWorks engineers will introduce new capabilities for online parameter estimation and will explain and demonstrate how these capabilities ...

adaptive model predictive control - matlab - Stack Overflow

In the controlled system, why are the initial inputs and outputs are subtracted from system inputs/outputs and the resulting signals then delayed?