Abstract-This paper deals with traffic modeling and control design for high-frequency metro lines. A complete discrete-event traffic model pointing out the natural instability of metro lines is to-implement state feedback traffic control algorithms are depresented. The traffic stability properties are analyzed and easysigned, which guarantee the system stability. Simulations illustrate the methodology.H

SUMMARYThe commonly used state-space models for the traffic description of urban underground railway lines are not suitable for practical on-line control. On the other hand, the proposed orginal linear formulation is very convenient for optimal state feedback control implementation. Results of simulations relative to a theoretical line as well as to the Brussels Railway lines show the benefit to be expected using this new formulation for on-line traffic control.

In this paper, we are interested in the problem of adaptive control of non-linearly parametrized systems. We investigate the viability of de"ning a stabilizing parameter update law for the case when the plant model is convex on the uncertain parameters. We show that, when the only prior knowledge is convexity, there does not exist an adaptation law*derivable from the standard separable Lyapunov function technique of Parks*applicable for all the state space. Therefore, we propose a semi-adaptive state feedback controller where adaptation takes place only in the region of the state space where convexity can be used to reduce parameter uncertainty. In the remaining part of the state space we freeze the adaptation and switch to a robust controller. This scheme ensures semi-global stability for convexly parametrized non-linear systems with matched uncertainty. The proposed controller is then applied to the problem of temperature regulation of continuous stirred exothermic chemical reactors where reaction heat is convex in the uncertain parameters.

There are a variety of control strategies that one may consider for mill circuit control and often several methods for implementing each strategy.Ideally, the control strategy selected and methodology used in it's implementation should not only optimize circuit performance in terms of productivity but also be able to optimize quality.A linear quadratic multivariable controller has been applied to milling circuits and these goals successfully accomplished.The results are a stable circuit with mill and separator optimized, producing a consistent quality product of a predictable fineness. This enables one to use cement quality as the single circuit control set point.

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A general fluid flow model for a network buffer with tail drop queueing policy is introduced and shown to be suitable for representing a large class of queueing system. An on-line identification scheme for this model is presented and an optimal control strategy is developed using the minimal principle of Pontryagin. Experimental results show that the implementation of this control policy is nearly optimal for a large range of experimental conditions.