Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study. [PDF]
J Med Internet ResMay P +3 more
europepmc +1 more source
Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems. [PDF]
Front Artif IntellNyangon J.
europepmc +1 more source
Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation. [PDF]
PLoS Comput BiolTemfack D, Wyse J.
europepmc +1 more source
Related searches:
The Behavioral Approach to Linear Parameter-Varying Systems
IEEE Transactions on Automatic Control, 2011Linear parameter-varying (LPV) systems are usually described in either state-space or input-output form. When analyzing system equivalence between different representations it appears that the time-shifted versions of the scheduling signal (dynamic dependence) need to be taken into account.
Roland Tóth +3 more
openaire +2 more sources
Analysis of hybrid linear parameter-varying systems
Proceedings of the 2003 American Control Conference, 2003., 2004This paper proposes a new hybrid linear parameter-varying (LPV) systems and investigates some characteristics of these systems. A hybrid LPV system is defined by a ser of LPV systems and average dwell-time as a model of discrete event dynamics. This system encompasses typical LPV systems and emerging hybrid systems such as reconfigurable flight control.
Sungyung Lim, Kam Chan
openaire +1 more source
Linear parameter-varying descriptions of nonlinear systems
Proceedings of the 2004 American Control Conference, 2004Recent methods for gain scheduling controller design based on linear parameter-varying (LPV) systems offer a systematic way to obtain a nonlinear controller. However, the non-unique LPV description of the nonlinear system is essential for the performance of the design. In this paper, two approaches to obtain LPV descriptions are presented.
Fredrik Bruzelius +2 more
openaire +1 more source
Parameter estimation on linear time-varying systems
Journal of the Franklin Institute, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luiz Cláudio Andrade Souza +1 more
openaire +2 more sources
Cooperative control of linear parameter-varying systems
2012 American Control Conference (ACC), 2012The state consensus problem among groups of linear parameter-varying (LPV) systems is addressed. The systems are assumed to have an identical LPV structure. We consider both homogeneous groups, where the time-varying parameters are identical, and heterogeneous groups, where the parameters can be different for all agents.
Georg S. Seyboth +2 more
openaire +1 more source
An inverse system for linear parameter-varying max-plus-linear systems
Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2004The Max-Plus-Linear (MPL) system is a state-space description for a certain class of discrete-event-systems that are-linear in max-plus algebra. This paper considers an extended description of MPL systems with a linear parameter varying structure, which is called LPV-MPL systems, and proposes an inverse system of the LPV-MPL system, which calculates ...
Shiro Masuda +3 more
openaire +1 more source
Approximation of linear parameter-varying systems
Proceedings of 35th IEEE Conference on Decision and Control, 2002Two well known LTI approximation methods-balanced truncation and optimal Hankel norm approximation-are extended to the LPV framework. Quadratic stability of the approximants and generalisations of known LTI error bounds are examined. The concept of the graph operator of an LPV system is discussed.
G.D. Wood, P.J. Goddard, K. Glover
openaire +1 more source