Results 31 to 40 of about 184,554 (316)

The Modeling and Control of (Renewable) Energy Systems by Partial Differential Equations—An Overview

open access: yesEnergies, 2023
Mathematical models of energy systems have been mostly represented by either linear or nonlinear ordinary differential equations. This is consistent with lumped-parameter dynamic system modeling, where dynamics of system state variables can be fully ...
Verica Radisavljevic-Gajic   +2 more
doaj   +1 more source

Control of Nonlinear Distributed Parameter Systems Based on Global Approximation

open access: yesJournal of Applied Mathematics, 2014
We extend an iterative approximation method to nonlinear, distributed parameter systems given by partial differential and functional equations. The nonlinear system is approached by a sequence of linear time-varying systems, which globally converges in ...
Chunyan Du, Guansheng Xing
doaj   +1 more source

PI-Type Iterative Learning Consensus Control for Second-Order Hyperbolic Distributed Parameter Models Multi-Agent Systems

open access: yesIEEE Access, 2020
This paper considers the consensus control problem of multi-agent systems (MAS) with second-order hyperbolic distributed parameter models. Based on the framework of network topologies, a PI-type iterative learning control protocol is proposed by using ...
Peng Li, Xiao-Qing Liu, Yong-Hong Lan
doaj   +1 more source

A binary quadratic function negative‐determination lemma and its application to stability analysis of systems with two additive time‐varying delay components

open access: yesIET Control Theory & Applications, 2021
This paper concentrates on the stability problem of systems with two additive time‐varying delay components. For the construction of Lyapunov–Krasovskii functional (LKF), in the case that the introduced augmented vector contains the double integral term ...
Meng Liu, Yong He, Lin Jiang
doaj   +1 more source

Hybrid modelling and simulation of a computer numerical control machine tool feed drive [PDF]

open access: yes, 2004
The paper presents a new approach to the modelling and simulation of a computer numerical control (CNC) machine tool feed drive. The hybrid model of the drive incorporates a distributed load, explicit damping factors and measured non-linear effects in ...
C Pislaru   +5 more
core   +1 more source

Optimal Control of Distributed Parameter Systems with Application to Transient Thermoelectric Cooling

open access: yesAdvances in Electrical and Computer Engineering, 2015
We give a solution of optimal control problem for distributed parameter systems described by nonlinear partial differential equations with nonstandard boundary conditions.
KOTSUR, M.
doaj   +1 more source

Iterative Learning Control for Discrete Distributed Parameter Systems With Randomly Varying Trial Lengths

open access: yesIEEE Access, 2019
In this paper, iterative learning control (ILC) is employed in discrete spatial-temporal parabolic distributed parameter systems (DPSs), where the trial lengths vary randomly.
Weijie Zhang, Xisheng Dai, Senping Tian
doaj   +1 more source

On the control of ill-posed distributed parameter systems [PDF]

open access: yesESAIM: Proceedings, 2007
We show that the so-called low-regret (or least-regret) control by J. L. Lions [8] fits on the control of ill-posed problems. At each time, we give the characterization of the so-called no-regret control by means of singular optimality systems. For the backward heat ill-posed problem, no Slater hypothesis is assumed on the admissible set of controls ${{
Dorville, René   +2 more
openaire   +4 more sources

Boundary Control for Exponential Stabilization of Nonlinear Distributed Parameter Systems Modeled by PIDEs

open access: yesIEEE Access, 2018
This paper studies boundary control for exponential stabilization for a distributed parameter system, modeled by semi-linear parabolic partial integro-differential equations (PIDEs) in a 1-D spatial domain.
Chengdong Yang   +5 more
doaj   +1 more source

Distributed cooperative Kalman filter constrained by advection–diffusion equation for mobile sensor networks

open access: yesFrontiers in Robotics and AI, 2023
In this paper, a distributed cooperative filtering strategy for state estimation has been developed for mobile sensor networks in a spatial–temporal varying field modeled by the advection–diffusion equation.
Ziqiao Zhang   +4 more
doaj   +1 more source

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