Results 61 to 70 of about 1,981,405 (253)
Parameter Tuning of Agent-Based Models: Metaheuristic Algorithms
MathematicsWhen it comes to modelling complex systems using an agent-based approach, there is a problem of choosing the appropriate parameter optimisation technique.
Andrei I. Vlad +2 more
doaj +1 more source
Discrete PID Controller with a Single Tuning Parameter
Measurement + Control, 1974 The paper describes a simple procedure for tuning discrete proportional — integral — derivative control algorithms. Two recommendations which are currently employed to select controller parameters are combined.
P. D. Roberts, K. E. Dallard
doaj +1 more source
A multi-objective optimisation-based software environment for control systems design [PDF]
, 2002 Multi-objective optimisation is a proven, well-known parameter tuning technique in control design. It is especially suited to solve complex, multi-disciplinary design problems.
Looye, Gertjan +4 more
core
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Electronics Letters, 2023 In control theory, a controller parameter‐tuning method called virtual reference feedback tuning (VRFT) is proposed. VRFT can tune a feedback controller using single experimental data.
Shuichi Yahagi, Motoya Suzuki
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Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Frequency domain iterative feedforward/feedback tuning for MIMO ANVC
, 2007 A new iterative feedback/feed-forward tuning (IFFT) method is presented for multiple-input multiple-output (MIMO) control systems that relies on efficient computation of the negative gradient of the controller cost function in the frequency domain.
Veres, S.M., Luo, J.
core +1 more source
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
A Novel Evolutionary Algorithm for Designing Robust Analog Filters
Algorithms, 2018 Designing robust circuits that withstand environmental perturbation and device degradation is critical for many applications. Traditional robust circuit design is mainly done by tuning parameters to improve system robustness.
Shaobo Li, Wang Zou, Jianjun Hu
doaj +1 more source