Electrical Vehicle Path Tracking Based Model Predictive Control With a Laguerre Function and Exponential Weight

Adaptive Nonlinear Model Predictive Path Tracking Control for a Fixed-Wing Unmanned Aerial Vehicle

This paper presents an adaptive Nonlinear Model Predictive Control (NMPC) for the path tracking control of a fixed-wing unmanned aircraft. The objective is to minimize the mean and maximum error between the reference trajectory and the UAV. Navigating in a cluttered environment requires accurate tracking. However linear controllers cannot provide good tracking performance due to nonlinearities ...

Controlling Nonlinear Processes, using Laguerre Functions Based Adaptive Model Predictive Control (AMPC) Algorithm

Laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. Therefore, it is widely adopted for complex industrial process control. In this work, Laguerre function based adaptive model predictive control algorithm (AMPC) was implemented to control continuous stirred tank rea...

Fuzzy Path Tracking Control of a Vehicle

This paper deals with the Path Following (PF) problem of a car. A unified kinematics model is derived for this problem. The mobile target configuration is represented by the motion of a reference car which has the same kinematics constrains as the real one. The generated kinematics model is added to the car dynamics one in order to obtain a general state representation for the PF problem. First...

Adaptive predictive control algorithm based on Laguerre Functional Model

Laguerre Functional Model has many advantages such as good approximation capability for the variances of system time-delay, order and other structural parameters, low computational complexity, and the facility of online parameter identification, etc., so this model is suitable for complex industrial process control. A series of successful applications have been gained in linear and non-linear p...

Model-Based Predictive Control of Electrical Drives