Yesil, Inverse-model predictive control based on INFUMO-BB-BC optimization, in: The 10th IFAC Workshop on Adaptation and Learning in Control and Signal Processing - ALCOSP 2010, Antalya, Turkey.Oblak, S., Kumbasar, T., Skrjanc, I., Yesil, E.: Inverse-model predictive control based ...
We present results linking model predictive control (MPC) and minimax optimal control theory. A distinction from previous work is that we show that typical MPC policies, which use the current system state, are minimax optimal closed-loop policies with respect to a certain class of cost functions...
Fuzzy model predictive control A fuzzy model predictive control (FMPC) approach is introduced to design a control system for a highly nonlinear process. In this approach, a process syste... YL Huang,HH Lou - 《IEEE Transactions on Fuzzy Systems》 被引量: 238发表: 2000年 Fuzzy model-based ...
This technique turns out to be relevant in explicit model predictive control (MPC) design in terms of reducing the prediction horizon to at most two steps. In view of practical applications, typically leading to problems that are not directly invertible, we show how to adapt the inverse ...
Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks In this paper, we present a neurodynamic approach to model predictive control (MPC) of unknown nonlinear dynamical systems based on two recurrent neural ne... Y Pan - 《IEEE Transactions on Industrial ...
Thus, the problems related to the high computational effort involved in nonlinear model-predictive control systems are reduced. The performance of the neural controllers is compared against the self-tuning PID controller currently installed in the plant. The results show that neural-based controllers ...
This paper presents an inverse optimal control methodology and its application to training a predictive model of human motor control from a manipulation task. It introduces a convex formulation for learning both objective function and constraints of an infinite-horizon constrained optimal control problem ...
Real-time deep learning-based model predictive control of a 3-DOF biped robot leg Article Open access 15 July 2024 Introduction With the rapid development of emerging technologies such as big data, artificial intelligence, and cloud computing, robotics and intelligent methods have been rapidly devel...
A NLSE-based numerical model was applied to F-8 fiber laser with two independently pumped amplifying stretches of fiber at both loops of the cavity (Fig. 1a). The proposed scheme allows to control coefficients of the effective saturable absorber, that is not easily available in fiber laser ...
Grey system predictive control of the submarine s depth and pitch angle; 潜艇深度和纵倾的灰色系统预测控制 更多例句>> 3) predict control 预测控制 1. Then combines with predict control and neural network,proposition that set up prediction model with improved Elman neural network to predict the ...