Results 31 to 40 of about 3,372,458 (196)
Energies, 2023 This article presents a neural algorithm based on Reinforcement Learning for optimising Linear Quadratic Regulator (LQR) creation. The proposed method allows designing such a target function that automatically leads to changes in the quality and resource
Mateusz Kozek +2 more
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Results in Physics, 2017 Magnetic levitation is a technique to suspend an object without any mechanical support. The main objective of this study is to demonstrate stabilized closed loop control of 1-DOF Maglev experimentally using real-time control simulink feature of (SIMLAB ...
Mundher H.A. Yaseen
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Control synthesis in the case of cost index with receding horizon [PDF]
INCAS BulletinA modified quadratic cost problem for linear systems utilizes receding horizon control (moving terminal constraints) to achieve asymptotic stability and effective feedback stabilization.
Ioan URSU +4 more
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Vibration Suppression of Hub Motor-Air Suspension Vehicle
Energies, 2022 Aiming at the negative vibration effect caused by the increased unsprung mass of the hub motor-air suspension (HM-AS) vehicle and the unbalanced magnetic force (UMF) of the hub motor, a linear quadratic regulator (LQR) air suspension control strategy ...
Hong Jiang, Chuqi Wu, Bo Chen
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Design of Linear Quadratic Regulator (LQR) Based on Genetic Algorithm for Inverted Pendulum
MENDEL, 2017 One of the crucial problems in the dynamics and automatic control theory is balancing of an invertedpendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for di erentmethod comparison. In the practical use of the LQR method, the key problem is how to choose weight matricesQ and R correctly. To obtain satisfying
Marada, Tomas +2 more
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Design of Active Suspension System for Quarter-Car Model using Linear Quadratic Regulator (LQR)
, 2022 This paper presents designing of an optimal state feedback controller, Linear Quadratic Regulator (LQR), for a quarter-car suspension system. The suspension system dictates the dynamic behaviour of the vehicle arising from the road interactions and body forces.
Shailesh Madan Rawool +1 more
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Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Autonomous Collision Avoidance Using MPC with LQR-Based Weight Transformation
Sensors, 2021 Model predictive control (MPC) is a multi-objective control technique that can handle system constraints. However, the performance of an MPC controller highly relies on a proper prioritization weight for each objective, which highlights the need for a ...
Shayan Taherian +3 more
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Advanced Intelligent Systems, EarlyView.This study presents an integrated proof‐of‐concept robotic platform for targeted delivery applications. A hybrid magnetic actuation system achieves single‐input (z) multistate stabilization (x, y, ϕ, and θ) for precise capsule transport with submillimeter positioning accuracy.
Sejun Park +6 more
wiley +1 more source