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This paper discusses the control of the strip profile in a three stand hot strip mill. The demand for higher quality requires a control system with high accuracy and fast response. Inherent transport delays in this process motivates the design of the controller to have a predictive capability. Due to the physical limitations of the actuators the measurements of the strip profile are filtered to ensure...
Many automotive companies utilise an electronic park brake (EPB) system as a replacement for the conventional manual parking brake system. This allows to reduced driver workload and also supports automatic apply/release features. This paper discusses a development of an EPB control model that comprises the high level functional software algorithms to control the operation of the remote EPB actuator...
Hybrid electric vehicles (HEV) have been recently attracting considerable attention from both car manufacturers and customers. This innovative concept is challenged by high expectations concerning the performance and comfort issues [6], whilst at the same time is required to fulfill strict restrictions with respect to the CO2 emissions. In order to achieve these goals, advanced control is applied...
A modification for a recently developed recursive Frisch scheme algorithm to identify dynamical linear time-invariant errors-in-variables systems is proposed for the case of white measurement noise. For the update of the estimated model parameters, a recursive bias-compensating least squares algorithm is considered. The estimate of the output measurement noise variance is determined using a conjugate...
The paper deals with the identification of dynamic discrete-time linear time-invariant errors-in-variables systems for the case of coloured output noise. The proposed algorithm is constructed within an extended bias compensated least squares framework, where the principle of the bilinear parametrisation is exploited. Two standard least squares methods are utilised to separately determine, firstly,...
The paper addresses the identification of time-invariant bilinear system (BS) models in the errors-in-variables (EIV) framework. The proposed scheme is based on the structured total least norm (STLN) technique extended here to handle BS. The performance of the presented approach, i.e. the bilinear STLN (BSTLN) with its further extension incorporating the Tikhonov regularization is compared to several...
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