Results 51 to 60 of about 3,372,458 (196)
Structured Linear Quadratic Regulator Design
, 2023 In this paper, we study linear quadratic regulator (LQR) design subject to linear equality constraints in the controller parameters. Necessary solvability conditions are provided, and a method for choosing the weighting matrices in the quadratic ...
Schaub, Philipp, Konigorski, Ulrich
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Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach
Journal of Field Robotics, Volume 43, Issue 7, Page 4821-4835, October 2026.ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp +3 more
wiley +1 more source
Generalized Linear Quadratic Control for a Full Tracking Problem in Aviation
Sensors, 2020 In this paper, the full tracking problem in aircraft system identification and control is presented. Time domain output error method with maximum likelihood principle was used to perform system identification.
Franciszek Dul +2 more
doaj +1 more source
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR
CoRRWe investigate the problem of learning linear quadratic regulators (LQR) in a multi-task, heterogeneous, and model-free setting. We characterize the stability and personalization guarantees of a policy gradient-based (PG) model-agnostic meta-learning (MAML) (Finn et al., 2017) approach for the LQR problem under different task-heterogeneity settings. We
Leonardo F. Toso +3 more
openaire +4 more sources
Wind Energy, Volume 29, Issue 10, October 2026.ABSTRACT This study investigates control strategies for large‐scale floating offshore wind turbines using the semi‐submersible IEA 15‐MW turbine as a benchmark. A gain‐scheduled PI (GSPI) controller is firstly established as the baseline for collective pitch control (CPC).
Dongxiao Bai +3 more
wiley +1 more source
On the linear quadratic data-driven control
, 2007 The classical approach for solving control problems is model based: first a model representation is derived from given data of the plant and then a control law is synthesized using the model and the control specifications.
Paolo Rapisarda +3 more
core +2 more sources
Electrica, 2009 The modelling of electric power systems on the state space and an optimal control system known as Linear Quadratic Regulator (LQR) for designing the load frequency control system are realized in this paper. In order to obtain high quality electric energy
ADNAN KAKİLLİ +2 more
doaj +2 more sources
Study of Linear Quadratic Regulator (LQR) Control Method and Its Application to Automatic Voltage Regulator (AVR) System [PDF]
, 2014 Automatic Voltage Regulator (AVR) play a great role in terminal voltage profile design process in a generator. Load state changing as dynamic system behavior will change the current flow in the generator system that result in armature voltage and ...
Fernaza, Olivia, Laksono, Heru Dibyo
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Mathematics, 2021 The control of an automotive suspension system by means of a hydraulic actuator is a complex nonlinear control problem. In this work, a linear parameter varying (LPV) model is proposed to reduce the complexity of the system while preserving the nonlinear
Daniel Rodriguez-Guevara +4 more
doaj +1 more source
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics, 2022 This paper provides a comparative analysis between PID control as a classical control technique and modern control technique in the dinamometer Eddy current brakes system. Eddy current brakes is a modern braking system that requires a control system to support the braking performance.
Anggara Trisna Nugraha +3 more
openaire +1 more source