Results 131 to 140 of about 15,699 (303)
EMBEDDED CONTROLLER BUILDING FOR BALL AND BEAM SYSTEM USING OPTIMAL CONTROL SYNTHESIS [PDF]
The controller design for the Ball and Beam system is particularly crucial in the aviation fields due to its likeness to the aircraft control during the flight and landing under turbulent.
B. M. HUNG +3 more
doaj
Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding
Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga +5 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
In this paper we solve the basic fractional analogue of the classical infinite time horizon linear-quadratic Gaussian regulator problem. For a completely observable controlled linear system driven by a fractional Brownian motion, we describe explicitely ...
Alain Le Breton +5 more
core +1 more source
ABSTRACT The present longitudinal study focuses on FMR1 premutation carrier women during midlife and early old age (n = 115). Bringing together the genetic risk factor of a family history of FXTAS and the environmental protective factor of higher education, the goal of the study was to determine how these factors potentially interact to predict self ...
Jinkuk Hong +4 more
wiley +1 more source
Asynchronous Heterogeneous Linear Quadratic Regulator Design
We address the problem of designing an LQR controller in a distributed setting, where M similar but not identical systems share their locally computed policy gradient (PG) estimates with a server that aggregates the estimates and computes a controller that, on average, performs well on all systems. Learning in a distributed setting has the potential to
Leonardo F. Toso +2 more
openaire +2 more sources
ABSTRACT Combining electrochemical and advanced oxidation processes (AOPs) has greatly mitigated the limitations of electrocoagulation (EC) in water treatment. This study examined the effectiveness of sonolysis (US)‐assisted alternating current (AC)–EC in reducing fluoride (F¯) from landfill leachate wastewater (LLW), with measurements of electrical ...
Perumal Asaithambi +7 more
wiley +1 more source
Abstract Premise Applied ecology can significantly influence policy decisions on environmental issues. Therefore, research in this field should be as transparent and reproducible as possible. Existing expertise from a broad range of disciplines should also be integrated into ecological research to allow researchers to maximize understanding of complex ...
Kailin Weitkämper +5 more
wiley +1 more source
Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
Risk-sensitive linear quadratic regulator is one of the most fundamental problems in risk-sensitive optimal control. In this paper, we study online adaptive control of risk-sensitive linear quadratic regulator in the finite horizon episodic setting.
Gao, Xuefeng, He, Xuedong, Xu, Wenhao
core
Development of Semi-active Linear Quadratic Regulator Controller for Vehicle Suspension System
[[abstract]]In the vehicle suspension system, an adjustable shock absorber is used to improve ride comfort and road handling by controlling the relative position and motion between vehicle body and wheels.
Wu, Jian-Da; Lin, Chih-Jer; Horng, Wei-Chun; Hsu, Chuang-Chin
core

