Results 51 to 60 of about 1,022,286 (331)
Progressive Myoclonus Epilepsy: Distinctive MRI Changes in Cerebellar and Motor Networks
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progressive myoclonus epilepsy (PME) is a rare generalized epilepsy syndrome with a well‐characterized genetic basis. The brain networks that are affected to give rise to the distinctive symptoms of PME are less well understood. Methods Eleven individuals with PME with a confirmed genetic diagnosis and 22 controls were studied.
Jillian M. Cameron +3 more
wiley +1 more source
Robust and Kernelized Data-Enabled Predictive Control for Nonlinear Systems [PDF]
arXiv, 2022 This paper presents a robust and kernelized data-enabled predictive control (RoKDeePC) algorithm to perform model-free optimal control for nonlinear systems using only input and output data. The algorithm combines robust predictive control and a non-parametric representation of nonlinear systems enabled by regularized kernel methods.
arxiv
Nonlinear Control Systems Simulation Using Spreadsheets
Spreadsheets in Education, 2004 In this paper, a method for simulating nonlinear control systems using spreadsheets is presented. Various nonlinear blocks are simulated using graphics and cell formulas, and are generated by clicking on specially developed toolbar buttons.
Ali El-Hajj +2 more
doaj
International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source
IET Control Theory & ApplicationsThis article introduces an advanced nonlinear controller designed for optimizing the performance of a single‐link robot arm featuring a flexible joint.
Amir Hossein Jafari +2 more
doaj +1 more source
Machines, 2019 Model-based control techniques have been gaining more and more interest these days. These complex control systems are mostly based on theories, such as feedback linearization, model predictive control, adaptive and robust control.
Alessandro Palmieri +6 more
doaj +1 more source
Hysteresis Quantizer-Based Event-Triggered Control of Nonlinear Networked Control Systems
IEEE Access, 2019 In this paper, we present a novel event-triggered control mechanism for nonlinear systems with hysteresis quantization. To describe the tendency of the dynamic quantizer parameter, an auxiliary parameter is created and the relationship between the ...
Tianwei Zhou, Tao Zhou
doaj +1 more source
Control of Non-Linear Systems. [PDF]
, 1976 Abstract : New methods were developed for stabilizing a time-varying linear differential system. Three technical notes involving feedback stabilization of a discrete-time constant linear system, derivation new lower bounds on the solution matrix, to the algebraic matrix Riccati equation, and new sufficient conditions for the linear constant ...
openaire +3 more sources
IEEE Open Journal of Control SystemsThis paper formally develops robust optimal predictive control solutions that can accommodate disturbances and stabilize periodic legged locomotion.
Abhishek Pandala +2 more
doaj +1 more source
Nonlinear systems control algorithm with backstepping method [PDF]
E3S Web of ConferencesThe article gives the possibilities of applications of the backstepping method for solving the problem of synthesis of a control system for the nonlinear dynamic plant with indefinably changing parameters.
Siddikov Isamidin +3 more
doaj +1 more source