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60.012  Articles
1 of 6.002 pages  |  10  records  |  more records»
In this paper, the model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is proposed. The proposed algorithm consists of two steps. The first step is derived by using parameter-dependent Lyapunov function and the second step ... see more

The Macroscopic Fundamental Diagram (MFD) framework has been widely utilized to describe traffic dynamics in urban networks as well as to design perimeter flow control strategies under stationary (constant) demand and deterministic settings. In real world... see more

The stability problem of the trivial solution of the systems of differential equations with unfixed times of impulse effect was studied by means of Lyapunov functions. The new conditions of asymptotic stability and instability were obtained.

Sucient conditions are obtained for the instability of the zero solutionof a certain sixth order nonlinear functional dierential equation by the Lyapunov-Krasovskii functional approach. DOI : http://dx.doi.org/10.22342/jims.17.2.7.123-128

The problem of robust guaranteed inventory control synthesis for supply networks with parametric uncertainty under action of unknown,but bounded external demand and availability of non-symmetrical constraints on the values of states and controls is solved... see more

Este trabajo discute errores encontrados en el uso de funciones de Lyapunov propuestas en resultados recientes de control de estructura variable: en diseños continuos con convergencia en tiempo finito (``Continuous finite-time stabilization of the transla... see more

Rössler system has become one of the reference chaotic systems. Its novelty when introduced, being that exhibits a chaotic attractor generated by a simpler set of nonlinear differential equations than Lorenz system. It develops chaotic behaviour for certa... see more

We develop a virus-resistant HIV-1 mathematical model with behavioural change in HIV-1 resistant non-progressors. The model has?both disease-free and endemic equilibrium points that are proved to?be locally asymptotically stable depending on the value of ... see more

In this paper we investigate the exponential stability of impulsive control for neural networks with time-varying delay by using a Lyapunov-Krasovskii functional. One numerical example is given to demonstrate the effectiveness of the obtained results.

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