Based on previous results on linear predictors and Kalman filter, this paper will formulate multi-step-ahead multi-variate predictors for application in multi-step-ahead predictive control
Time series forecasting deals with the prediction of future values of time-dependent quantities (e.g...
The control of multi-input multi-output (MIMO) systems is a common problem in practical control scen...
In technical practice often occur multivariable processes with time delay. Time-delays are mainly ca...
Model Based Predictive Control (MBPC) or only Predictive Control is one of the control methods which...
AbstractAssuming a general linear model with known covariance matrix, several linear and nonlinear p...
In this work a new method for designing predictive controllers for linear MIMO systems is presented....
We consider the problem of multistep-ahead prediction in time series analysis by using nonparametric...
Abstract. Multistep-ahead prediction is the task of predicting a sequence of values in a time series...
We consider the problem of multi-step ahead prediction in time series analysis using the non-paramet...
We consider the problem of multi-step ahead prediction in time series analysis using the non-paramet...
This note extends a recently proposed algorithm for model identification and robust model predictive...
ne of the fundamental difficulties en-countered throughout process con-trol is the presence of time ...
In the framework of the subspace-based identification of linear systems, the first step for the cons...
In this paper, the derivation of multi-step-ahead prediction models from sampled input-output data ...
This paper proposes to study the potential of use a three-tank system in laboratory scale to teach h...
Time series forecasting deals with the prediction of future values of time-dependent quantities (e.g...
The control of multi-input multi-output (MIMO) systems is a common problem in practical control scen...
In technical practice often occur multivariable processes with time delay. Time-delays are mainly ca...
Model Based Predictive Control (MBPC) or only Predictive Control is one of the control methods which...
AbstractAssuming a general linear model with known covariance matrix, several linear and nonlinear p...
In this work a new method for designing predictive controllers for linear MIMO systems is presented....
We consider the problem of multistep-ahead prediction in time series analysis by using nonparametric...
Abstract. Multistep-ahead prediction is the task of predicting a sequence of values in a time series...
We consider the problem of multi-step ahead prediction in time series analysis using the non-paramet...
We consider the problem of multi-step ahead prediction in time series analysis using the non-paramet...
This note extends a recently proposed algorithm for model identification and robust model predictive...
ne of the fundamental difficulties en-countered throughout process con-trol is the presence of time ...
In the framework of the subspace-based identification of linear systems, the first step for the cons...
In this paper, the derivation of multi-step-ahead prediction models from sampled input-output data ...
This paper proposes to study the potential of use a three-tank system in laboratory scale to teach h...
Time series forecasting deals with the prediction of future values of time-dependent quantities (e.g...
The control of multi-input multi-output (MIMO) systems is a common problem in practical control scen...
In technical practice often occur multivariable processes with time delay. Time-delays are mainly ca...
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