Results 71 to 80 of about 226,681 (319)
On output feedback nonlinear model predictive control using high gain observers for a class of systems [PDF]
, 2001 In recent years, nonlinear model predictive control schemes have been derived that guarantee stability of the closed loop under the assumption of full state information.
Imsland, L. +10 more
core +1 more source
Arthritis 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
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
Universal Adaptive Control of Nonlinear Systems
This letter develops a new direct adaptive control framework that extends the certainty equivalence principle to general nonlinear systems with unmatched model uncertainties.
Slotine, Jean-Jacques E. +1 more
core +1 more source
Time-Domain Stab巡tyAnalysis on Multivariable Nonlinear Control Systems [PDF]
, 1997 In this paper an extention for Haddad's method. which is the time-domain stability analysis on scalar nonlinear control systems,to multivariable nonlinear control systems are proposed and two BIBO stability criteria and two global asymptotic stability ...
WANG, Xihong +3 more
core
3 sampled-data control of nonlinear systems
, 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.
Nesic, Dragan +2 more
core +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
SUBOPTIMAL CONTROL OF NONLINEAR MULTI-AGENT SYSTEMS [PDF]
Научно-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
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
International Journal of Adaptive Control and Signal Processing, EarlyView.This article proposes a convergent adaptive observer for a damped wave PDE and an infinite‐dimensional ODE coupled in cascade using sampled‐in‐space ODE state measurements. The proposed observer estimates the distributed states of the PDE and ODE along with unknown PDE parameters and spatial input.
Zehor Belkhatir +2 more
wiley +1 more source