On a feedback-feedforward identification control algorithm for feedback active controlled structures
Linear quadratic regulator (LQR) is an effective method of feedback active control theory. However, the LQR control is not truly optimal because it is only a feedback algorithm, i.e. the external excitation term is ignored in the optimal equation.
La Duc Viet, Nguyen Dong Anh
doaj +1 more source
Implementation of the New Control Methods in Simplification of a Multidimensional Control and Optimization of a Control System Parameters. [PDF]
The main purpose of this text is to present application of the Largest Lyapunov Exponent (LLE) as a criterion for optimization of the new type of simple controller parameters.
Balcerzak, Marek +2 more
core +1 more source
KONTROL SUDUT ATTITUDE MENGGUNAKAN LINEAR QUADRATIC REGULATOR (LQR) UNTUK QUADROTOR DENGAN PAYLOAD
Quadrotor telah dikembangkan oleh peneliti di dunia ini sebagai aerial object interaction/aerial manipulation. Agar quadrotor bisa terbang mengangkat beban, maka dibutuhkan sistem kontrol yang dapat mengkompensasi perubahan pusat gravitasi. Pada penelitian ini, model matematika quadrotor dengan efek beban/payload akan dikembangkan. Untuk mengkompensasi
Mochammad Ariyanto +2 more
openaire +2 more sources
Dynamic Event‐Triggered Robust Model Predictive Control for Quadrotor Trajectory Tracking
ABSTRACT This paper addresses the trajectory tracking problem for a full‐state quadrotor subject to physical model constraints and unknown external disturbances. A robust tube‐based model predictive control (MPC) approach is successfully applied to the system, which is subject to bounded disturbances and hard constraints.
Ali Can Erüst +2 more
wiley +1 more source
Power Quality‐Oriented Multiloop Design of Floating Wind Turbines Pitch Control
ABSTRACT Floating offshore wind turbines (FOWTs) face inherent control limitations in above‐rated operating conditions due to right‐half‐plane zeros in the blade‐pitch‐to‐rotor‐speed dynamics, which restrict achievable control bandwidth and may lead to closed‐loop instability.
Marco De Pascali +5 more
wiley +1 more source
ABSTRACT This study presents a novel Distributed Robust Adaptive Model Predictive Control (DRAMPC) for tracking in multi‐agent systems. The framework is designed to work with dynamically coupled subsystems and limited communication, which is restricted to local neighborhoods.
Fabio Faliero +2 more
wiley +1 more source
HyLPD Digital Twin Control for UAV Stability in High‐Wind Conditions
This work introduces a novel HyLPD, a hybrid control framework combining Linear Quadratic Regulator (LQR) for baseline stability and Deep Deterministic Policy Gradient (DDPG) for adaptive compensation, tailored for UAVs under high‐wind conditions.
Cara Rose +2 more
wiley +1 more source
Online Adaptation of Data‐Driven Controllers for Unknown Nonlinear Systems
ABSTRACT This paper considers data‐driven online control of input‐affine nonlinear systems. By resorting to a data‐based closed‐loop time‐varying system representation, we derive data‐based online semi‐definite programs that are computed along the system's trajectory.
Xiaoyan Dai +2 more
wiley +1 more source
Deadbeat Robust Model Predictive Control: Robustness Without Computing Robust Invariant Sets
ABSTRACT Deadbeat Robust Model Predictive Control (DRMPC) is introduced as a new approach of Robust Model Predictive Control (RMPC) for linear systems with additive disturbances. Its main idea is to completely extinguish the effect of the disturbances in the predictions within a small number of time steps, called the deadbeat horizon.
Georg Schildbach
wiley +1 more source
This journal discusses about the analysis of frequency transition deviation of power frequency control system with Optimal control methods. The response of frequency transition deviation of power frequency control system is one of indicator in the ...
Heru Dibyo Laksono
doaj +1 more source

