Results 61 to 70 of about 1,327 (197)

The role of identification in data‐driven policy iteration: A system theoretic study

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía   +3 more
wiley   +1 more source

Genetic Algorithm Implementation for Optimizing Linear Quadratic Algorithm to Control Acrobot Robotic System [PDF]

open access: yesRobotica & Management, 2018
Acrobot is a robotic system with some under actuated degree. In order to control Acrobot at the upright position, designers have to create appropriate algorithms.
Hoang Chinh Tran   +4 more
doaj  

On a feedback-feedforward identification control algorithm for feedback active controlled structures

open access: yesVietnam Journal of Mechanics, 2007
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

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

open access: yesSmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen   +12 more
wiley   +1 more source

Multi-Strategy Advanced Snake Optimizer-Based Optimal Feedback Control of Half Vehicle Suspension

open access: yesIEEE Access
To solve the problem of tuning the weight coefficient matrices of Linear Quadratic Regulator (LQR) for vehicle active suspension system, a multi-strategy Advanced Snake Optimizer-Linear Quadratic Regulator (ASO-LQR) is proposed based on the Snake ...
Qiuxia Fan   +3 more
doaj   +1 more source

Dynamic Event‐Triggered Robust Model Predictive Control for Quadrotor Trajectory Tracking

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 6, Page 3676-3688, April 2026.
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

open access: yesWind Energy, Volume 29, Issue 4, April 2026.
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

Robust Adaptive Model Predictive Control for Tracking in Interconnected Systems via Distributed Optimization

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 5, Page 2907-2926, 25 March 2026.
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

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