Nonlinear Model Following Control System Using Stable Zero Assignment

Model Following Control for Nonlinear System with Time Delay

In this study, designing method of Model Following Control System (MFCS) for nonlinear system with time delay and disturbances is discussed. The design of the control system is constructed. The features of this design method are: Bounded property of the inner states for the control system is given and the utility of this control de because there is no necessary to make transformation of this sy...

Model Predictive Control System Design using ARMAX Identification Method for Car-following Behavior

The control of car following is essential due to its safety and its operational efficiency. For this purpose, this paper builds a model of car following behavior based on ARMAX structure from a real traffic dataset and design a Model Predictive Control (MPC) system. Based on the relative distance and relative acceleration of each instant, the MPC predicts the future behavior of the leader vehic...

Nonlinear System Identification and Control Using Local Model Networks

Nonlinear Predictive Control of Chiller System using Gaussian Process Model

For Nonlinear Model Predictive Control (NMPC) to be implemented in real application, data driven models are advantageous since they can be easily constructed and are relatively fast, compared to first principle based models (simplified calculation [ISO 13790], dynamic simulation [EnergyPlus, ESP-r, TRNSYS, etc.], state space models, etc.). Gaussian Process Model (GPM), one of the data-driven ap...

A High Speed Tracking System Using Adaptive Model-following Control

-In the time optimal control problem, it is important to select a switching point accurately in order to improve tracking speed performance. However, the accurate selection of the switching point is not an easy task because of the damping coefficient variations and modeling uncertainties in actual systems. To relieve the difficulty and inconvenience of this task, adaptive model-following contro...