Results 151 to 160 of about 248,906 (193)

Shortest-prediction-horizon non-linear model-predictive control

Chemical Engineering Science, 1998
Abstract This article concerns non-linear control of single-input-single-output processes with input constraints and deadtimes. The problem of input-output linearization in continuous time is formulated as a model-predictive control problem, for processes with full-state measurements and for processes with incomplete state measurements and deadtimes.
Sairam Valluri, Masoud Soroush, Masoud Nikravesh   +2 more
openaire   +3 more sources

Non-linear model predictive control for models with local information and uncertainties

Transactions of the Institute of Measurement and Control, 2008
Gaussian processes are a probabilistic, non-parametric approach to modelling that allows easy merging of ordinary measured data and local linear models. This can be of particular importance in the identification of non-linear dynamic systems from experimental data, where there is usually more data available around the equilibrium points and only sparse
Kristjan Ažman, Juš Kocijan
openaire   +3 more sources

Iterated non-linear model predictive control based on tubes and contractive constraints

ISA Transactions, 2016
This paper presents a predictive control algorithm for non-linear systems based on successive linearizations of the non-linear dynamic around a given trajectory. A linear time varying model is obtained and the non-convex constrained optimization problem is transformed into a sequence of locally convex ones.
Murillo, Marina Hebe, Sanchez, Guido Marcelo, Giovanini, Leonardo Luis   +2 more
openaire   +5 more sources

Non-Linear Model Based Predictive Control Through Dynamic Non-Linear Partial Least Squares

Chemical Engineering Research and Design, 2002
The extension of model predictive control (MPC) to non-linear systems is proposed through dynamic non-linear Partial Least Squares (PLS) models. PLS has been shown to be an appropriate multivariate regression methodology for modelling noisy, correlated and/or collinear data.
Baffi G, Morris J, Martin E
openaire   +4 more sources

Small unmanned helicopter autorotation using non-linear model predictive control

49th IEEE Conference on Decision and Control (CDC), 2010
Small unmanned helicopters are suitable for a variety of applications including search and rescue, surveillance, communications, traffic monitoring as well as inspection of buildings, power lines and bridges. This paper presents an on-line, model-based, real-time autonomous autorotation controller, tailored for small helicopters.
Konstantinos Dalamagkidis, Kimon P. Valavanis, Les A. Piegl   +2 more
openaire   +2 more sources

Identification and Control of Non-Linear System Using Model Predictive controller

YMER Digital, 2022
The modeling of level and temperature process is the most common problems in the process industry. In this paper system identification is performed for a hybrid tank system. Hybrid tank is an example for highly non-linear system. This system has two inputs heater current and flow and the outputs are level and temperature.
S Suriyakala, T Hariharasudhan, Dr. D Prince Winston   +2 more
openaire   +1 more source

Non-linear predictive control of 2 DOF helicopter model

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
This paper presents the application of non-linear predictive control algorithm to a helicopter model. First, the model of the helicopter is discussed. Next, the nonlinear algorithm is introduced which is based on state-space GPC controller. The non-linearity is handled by converting the state-dependent state-space representation into the linear time ...
Dutka, A., Ordys, A.W., Grimble, M.J.
openaire   +2 more sources

Real-time lateral stability and steering characteristic control using non-linear model predictive control [PDF]

Vehicle System Dynamics, 2023
This paper presents a non-linear integrated control strategy that primarily focuses maintaining vehicle lateral stability using active front steering and differential braking.
Theunis R Botha, P Schalk Els
exaly   +2 more sources

Non-linear predictive controller for uncertain process modelled by GOBF-Volterra models

International Journal of Modelling, Identification and Control, 2013
This paper proposes a new approach for synthesising a predictive control for non-linear uncertain process based on a proposed reduced complexity discrete-time Volterra model known as GOBF-Volterra model. This model, provided by expanding each Volterra kernel on independent generalised orthonormal basis functions (GOBF), is efficient for the synthesis ...
Kais Bouzrara, Abdelkader Mbarek, Tarek Garna   +2 more
openaire   +1 more source

Model predictive control of constrained non-linear time-delay systems

IMA Journal of Mathematical Control and Information, 2010
This paper proposes a model predictive control scheme for non-linear time-delay systems with input constraints. Based on the results for systems without delays, asymptotic stability of the closed loop is guaranteed by utilizing an appropriate terminal cost functional and an appropriate terminal region such that the optimal cost for the finite-horizon ...
Marcus Reble, Reza Mahboobi Esfanjani, Seyyed Kamaleddin Yadavar Nikravesh, Frank Allgöwer   +3 more
openaire   +1 more source