Results 301 to 310 of about 886,247 (337)

Nonlinear Control of Distributed Parameter Processes with Disturbances

IFAC Proceedings Volumes, 1995
Abstract This article focuses on systems of quasi-linear first-order hyperbolic partial differential equations with time-varying disturbances, for which the manipulated input and the disturbances are distributed in space. For these systems, we address and solve the problem of complete elimination of the effect of disturbances on the output via ...
Panagiotis D. Christofides, Prodromos Daoutidis   +1 more
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Recursive Identification Algorithms as Nonlinear Systems: Parameter Identifiability and Controllability

IFAC Proceedings Volumes, 1989
Abstract In this paper we examine parameter identifiability of a system modeled by a linear regression (ARX model). We regard recursive identification algorithms, designed to estimate the parameters of the given linear model, as discrete time nonlinear systems.
C.A. Schwartz, H. Özbay
openaire   +1 more source

NONLINEAR DISTRIBUTED PARAMETER STOCHASTIC SYSTEM OPTIMAL CONTROL UNDER INCOMPLETE MEASUREMENT

IFAC Proceedings Volumes, 1986
Abstract An approximate solution on the optimal control design problem in terms of the generalized job criterium is considered for nonlinear mechanical distributed parameter systems subject to random external disturbances, the current state information being incomplete.
V.A. Karpov, V.V. Malanin
openaire   +1 more source

Finite-time Parameter Estimation in Adaptive Control of Nonlinear Systems

2007 American Control Conference, 2007
This note presents a parameter estimation routine that allows exact reconstruction of the unknown parameters in finite time provided a given excitation condition is satisfied. The robustness of the routine to an unknown bounded disturbance or modeling error is also shown. The result is independent of the control and identifier structures employed.
Veronica Adetola, Martin Guay
openaire   +1 more source

Measurement of loudspeaker parameters by inverse nonlinear control

The Journal of the Acoustical Society of America, 1999
Nonlinear loudspeaker models have been developed to predict and explain the generation of nonlinear distortions in the reproduced sound at large amplitudes. These models require additional nonlinear parameters such as the force factor, stiffness of the mechanical suspension, and voice-coil inductance depending on the instantaneous excursion of the ...
openaire   +1 more source

Nonlinear Parameters and State Estimation for Adaptive Nonlinear Model Predictive Control Design

Journal of Dynamic Systems, Measurement, and Control, 2016
This paper deals with an adaptive nonlinear model predictive control (NMPC) based estimator in cases of mismatch modeling, presence of perturbations and/or parameter variations. Thus, we propose an adaptive nonlinear predictive controller based on the second-order divided difference filter (DDF) for multivariable systems.
Hichem Salhi, Faouzi Bouani
openaire   +1 more source

On PID-Controller Parameters Neural Tuner Usage for Nonlinear Plants Control

Applied Mechanics and Materials, 2015
The problem of a control system efficiency increasing for nonlinear plant control is considered. It is shown that proposed neural tuner based on neural networks is an efficient approach to solve the problem of PID-controller parameters online tuning. The backpropagation method is used to train the network.
Yuri Eremenko, Dmitry Poleshchenko, Anton Glushchenko, Andrey Fomin   +3 more
openaire   +1 more source

Optimal parameter tracking and control of nonlinear systems with time-varying parameters

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
A new formulation of a class of nonlinear optimal control problems in which the system's parameters are changing arbitrarily with time is presented. A variational technique based on the Pontryagin maximum principle is used to track the time-varying parameters of the system and to calculate the optimal control. The formulation allows online solution for
C. March-Leuba, R.B. Perez
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Parameter-Adaptive State Space Controller for Nonlinear Processes

1982 American Control Conference, 1982
For parameter-adaptive control of nonlinear single input/single output processes a nonlinear parameter-adaptive state space controller is presented, which can be designed with small computational expense from identified nonlinear parametric process models based on Volterra-series.
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Nonlinear control for uncertain nonlinear systems with unknown control directions using less or no parameter estimates

International Journal of Adaptive Control and Signal Processing, 2014
SummaryFor the parametric strict‐feedback nonlinear systems with unknown virtual control coefficients and unknown control directions, the control schemes presented in the existing literature have the disadvantage of overparametrization. In this paper, a novel systematic design procedure is developed to solve the overparametrization problem.
Zhang, Zhengqiang, Shen, Hao, Zhou, Shigui, Ma, Jianping   +3 more
openaire   +2 more sources