Results 71 to 80 of about 988,791 (345)

Use of a Molecular Signature Response Classifier to Inform Treatment Selection Improves Clinical Disease Activity Among Patients with Rheumatoid Arthritis Initiating a Biologic or Targeted Synthetic Disease‐Modifying Antirheumatic Drug

open access: yesArthritis Care &Research, EarlyView.
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie   +3 more
wiley   +1 more source

$\mathcal {H}_{2}$- and $\mathcal {H}_\infty$-Optimal Model Predictive Controllers for Robust Legged Locomotion

open access: yesIEEE Open Journal of Control Systems
This 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

Constrained controllability of nonlinear systems [PDF]

open access: yesProceedings of the 2003 American Control Conference, 2003., 1995
This paper contains constrained exact local controllability results for nonlinear abstract differential equations. A generalization of the open mapping theorem is used for the sufficient conditions to guarantee controllability. The values of controls are in a convex, closed cone with vertex at 0.
openaire   +2 more sources

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational 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

Tuning and Feasibility Analysis of Classical First-Order MIMO Non-Linear Sliding Mode Control Design for Industrial Applications

open access: yesMachines, 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

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg   +5 more
wiley   +1 more source

SUBOPTIMAL CONTROL OF NONLINEAR MULTI-AGENT SYSTEMS [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2013
The article deals with the issue of robust suboptimal control for multi-agent systems which model is represented by differential equations with Lipschitz nonlinearity. It is assumed that only scalar subsystem outputs are available to measurement.
I. B. Furtat
doaj  

Hysteresis Quantizer-Based Event-Triggered Control of Nonlinear Networked Control Systems

open access: yesIEEE 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

Controller performance design and assessment using nonlinear generalized minimum variance benchmark : scalar case [PDF]

open access: yes, 2004
A nonlinear version of the Generalized Minimum Variance (GMV) multivariable control law has been recently derived for the control of nonlinear, possibly time-varying systems.
Grimble, M.J., Majecki, P.M.
core  

3 sampled-data control of nonlinear systems

open access: yes, 2006
This chapter provides some of the main ideas resulting from recent developments in sampled-data control of nonlinear systems. We have tried to bring the basic parts of the new developments within the comfortable grasp of graduate students.
Astolfi, Alessandro   +2 more
core   +1 more source

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