This paper discusses efforts to parameterize the actuation models of a four-wheel automobile for the purposes of closed-loop control. As a novelty, the authors used the equipment already available or in use by the vehicle, rather than expensive equipment used solely for the purpose of system identification. After rudimentary measurements were taken of wheelbase, axle width, etc., the vehicle wa...

There are a number of competing scientific hypotheses about the structure and parameters of the human control system concerned with balance. System identification techniques have potential to distinguish between such competing hypotheses. As a step towards this goal, the data from an initial series of experiments involving balancing an inverted pendulum by a human via a joystick was analysed us...

This study aims at integrating system identification for robust control with process control. We consider linear systems where the parameters normally vary slowly, but which may exhibit sudden and large changes. One example of such a system is an extruder where the parameters vary slowly e.g. due to temperature changes, and where the die sometimes is changed, leading to sudden and large changes...

Regularization and Bayesian methods for system identification have been repopularized in the recent years, and proved to be competitive w.r.t. classical parametric approaches. In this paper we shall make an attempt to illustrate how the use of regularization in system identification has evolved over the years, starting from the early contributions both in the Automatic Control as well as Econom...

We propose earlier an optimization based flow control for the Internet called Random Early Marking (REM). In this paper we propose and evaluate an enhancement that attempts to speed up the convergence of REM in the face of large feedback delays. REM can be regarded as an implementation of an optimization algorithm in a distributed network. The basic idea is to treat the optimization algorithm a...

An adaptive control system has been developed that may be used for active noise and vibration control problems involving one-dimensional propagation. Based on the least-mean-squares (LMS) algorithm, the adaptive controller performs both system identification and control in real time, without the need for a priori measurements of the system. Since the controller is adaptive in nature, it is poss...

In this paper we propose a systematic methodology that integrates the three main phases of the design of an industrial control system, namely, the identification phase, the tuning of the (PID) feedback controller and the design of a (noncausal) open-loop action. In particular, a first-order-plus-deadtime model of the process is estimated after having filtered properly the data collected in the ...

This paper employs a simulation model in a Supply Chain Management (SCM) system. This study is one of the first to present simulation model of inventory control system in supply chain management using barcode and Radio Frequency Identification (RFID). The main objective of this model is to compare two inventory systems in a supply chain, one using RFID, versus the barcode. The model will help c...