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In this paper we develop a priori stabilization conditions for infinity norm based hybrid MPC in the terminal cost and constraint set fashion. Closed-loop stability is achieved using infinity norm inequalities that guarantee that the value function corresponding to the MPC cost is a Lyapunov function of the controlled system. We show that Lyapunov… (More)

Design and implementation are studied for a neural-network-based predictive controller meant to govern the dynamics of non-linear processes. The advantages of using neural networks for modeling non-linear processes are shown together with the construction of neural predictors. The resulting implementation of the neural predictive controller is able to… (More)

- M H Matcovschi, C Lefter, C Mahulea, O Pastravanu
- 2005

The paper presents the results of the project Petri Net Web-based Laboratory (PN Web-Lab) that has been developed for the training of the Control Engineering students in discrete-event systems (DES) modelled by Petri nets. The main objectives envisaged by the PN Web-Lab are: the simulation, analysis and design of DES within a familiar framework (using any… (More)

The skeleton and the functionality of a Petri Net Toolbox, embedded in the MATLAB environment, are briefly presented, as offering a collection of instruments devoted to simulation, analysis and synthesis of discrete-event systems. The integration with the MATLAB philosophy responds to the general interest manifested by educators for enlarging the… (More)

[7] V. Y. Glizer, " Asymptotic analysis and solution of a finite horizon H control problem for singularly-perturbed linear systems with small state delay, " , " Controllability of nonstandard singularly perturbed systems with small state delay, " IEEE Trans. An estimate for the fundamental matrix of singularly perturbed differential-functional equations and… (More)

New results of qualitative analysis are presented for a class of neural networks (Hopfield-type), representing a refinement in the interpretation of their behaviour. The main instrument of this analysis consists in the individual monitoring of the state-trajectories by considering time-dependent rectangular sets that are forward invariant with respect to… (More)

A study on classification capability of neural networks is presented, considering two types of architectures with supervised training, namely Multilayer Perceptron (MLP) and Radial-Basis Function (RBF). To illustrate the classifiers' construction, we have chosen a problem that occurs in real-life experiments, when one needs to distinguish between… (More)

The componentwise stability of a linear system is a special type of asymptotic stability induced by the existence of exponentially decreasing rectangular sets that are invariant with respect to the free response. An interval system () () () x t Ax t Bu t = + , [ , ] A A A − + ∈ , [ , ] B B B − + ∈ , is componentwise stabilizable if there exists a constant… (More)